Update README.md

CJK Symbols and Punctuation range u3000 > u303F

.github/FUNDING.yml

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+ko_fi: erew123

.github/ISSUE_TEMPLATE/bug-report-support-request.md

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+---
+name: Bug report/Support request
+about: Create a report to help us improve
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+Please generate a diagnostics report and upload the "diagnostics.log".
+
+https://github.com/erew123/alltalk_tts/tree/main?#-how-to-make-a-diagnostics-report-file
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behaviour:
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+**Text/logs**
+If applicable, copy/paste in your logs here from the console.
+
+**Desktop (please complete the following information):**
+AllTalk was updated: [approx. date]
+Custom Python environment: [yes/no give details if yes]
+Text-generation-webUI was updated: [approx. date]
+
+**Additional context**
+Add any other context about the problem here.

.github/ISSUE_TEMPLATE/feature_request.md

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+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

.github/workflows/publish-docker.yml

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+name: Publish Docker image
+
+on:
+  push:
+    branches: [main]
+  release:
+    types: [published]
+  workflow_dispatch:
+
+jobs:
+  build_and_push:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        include:
+          - dockerfile: "Dockerfile"
+            platforms: "linux/amd64"
+            tag_name: "cpu"
+          - dockerfile: "nvidia.Dockerfile"
+            platforms: "linux/amd64"
+            tag_name: "cuda"
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Lowercase Actor and Extract Repo Name
+        run: |
+          echo "ACTOR_LOWER=$(echo ${{ github.actor }} | tr '[:upper:]' '[:lower:]')" >> $GITHUB_ENV
+          echo "REPO_NAME=$(echo ${{ github.repository }} | cut -d'/' -f 2)" >> $GITHUB_ENV
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ env.ACTOR_LOWER }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Login to DockerHub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ vars.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: ./${{ matrix.dockerfile }}
+          platforms: ${{ matrix.platforms }}
+          push: true
+          tags: |
+            ghcr.io/${{ env.ACTOR_LOWER }}/${{ env.REPO_NAME }}:${{ matrix.tag_name }}-${{ github.sha }}
+            ghcr.io/${{ env.ACTOR_LOWER }}/${{ env.REPO_NAME }}:${{ matrix.tag_name }}
+            ghcr.io/${{ env.ACTOR_LOWER }}/${{ env.REPO_NAME }}:latest
+            ${{ vars.DOCKERHUB_USERNAME }}/${{ env.REPO_NAME }}:${{ matrix.tag_name }}-${{ github.sha }}
+            ${{ vars.DOCKERHUB_USERNAME }}/${{ env.REPO_NAME }}:${{ matrix.tag_name }}
+            ${{ vars.DOCKERHUB_USERNAME }}/${{ env.REPO_NAME }}:latest
+
+      - name: Docker Hub Description
+        uses: peter-evans/dockerhub-description@v3.4.2
+        with:
+          username: ${{ vars.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+          repository: ${{ vars.DOCKERHUB_USERNAME }}/${{ env.REPO_NAME }}

.gitignore

@@ -1,160 +1,8 @@
-# Byte-compiled / optimized / DLL files
+voices/*.*
-__pycache__/
+models/*.*
-*.py[cod]
+outputs/*.*
-*$py.class
+finetune/*.*
-
+config.json
-# C extensions
+confignew.json
-*.so
+models.json
-
+diagnostics.log
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/

.vscode/settings.json

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+{
+    "files.associations": {
+        "*.html": "jinja-html"
+    },
+    "emmet.includeLanguages": {
+        "jinja-html": "html",
+        "jinja2": "html"
+    },
+}

Dockerfile

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+FROM ubuntu:22.04
+ENV HOST 0.0.0.0
+RUN apt-get update && apt-get upgrade -y \
+    && apt-get install -y git build-essential portaudio19-dev \
+    python3 python3-pip gcc wget \
+    && ln -s /usr/bin/python3 /usr/bin/python
+WORKDIR /app
+COPY . .
+RUN pip install --no-cache-dir -r requirements_other.txt
+EXPOSE 7851
+RUN chmod +x launch.sh
+ENTRYPOINT ["sh", "-c", "./launch.sh"]

LICENSE

@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+software and other kinds of works, specifically designed to ensure
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+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software.  This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

atsetup.bat

@@ -0,0 +1,504 @@
+@echo off
+cd /D "%~dp0"
+
+set PATH=%PATH%;%SystemRoot%\system32
+
+:: Generate the ESC character
+for /F %%a in ('echo prompt $E ^| cmd') do set "ESC=%%a"
+
+:: Standard Colors
+set "BLACK=%ESC%[30m"
+set "RED=%ESC%[31m"
+set "GREEN=%ESC%[32m"
+set "YELLOW=%ESC%[33m"
+set "BLUE=%ESC%[34m"
+set "MAGENTA=%ESC%[35m"
+set "CYAN=%ESC%[36m"
+set "WHITE=%ESC%[37m"
+set "L_BLACK=%ESC%[90m"
+set "L_RED=%ESC%[91m"
+set "L_GREEN=%ESC%[92m"
+set "L_YELLOW=%ESC%[93m"
+set "L_BLUE=%ESC%[94m"
+set "L_MAGENTA=%ESC%[95m"
+set "L_CYAN=%ESC%[96m"
+set "L_WHITE=%ESC%[97m"
+set "RESET=%ESC%[0m"
+
+@rem Check if curl is available
+curl --version >nul 2>&1
+if "%ERRORLEVEL%" NEQ "0" (
+    echo curl is not available on this system. Please install curl then re-run the script https://curl.se/ 
+	echo or perform a manual installation of a Conda Python environment.
+    goto end
+)
+
+:MainMenu
+cls
+echo.
+echo    %L_BLUE%ALLTALK WINDOWS SETUP UTILITY%RESET%
+echo.
+echo    INSTALLATION TYPE
+echo    1) I am using AllTalk as part of %L_GREEN%Text-generation-webui%RESET%
+echo    2) I am using AllTalk as a %L_GREEN%Standalone Application%RESET%
+echo.
+echo    9) %L_RED%Exit/Quit%RESET%
+echo.
+set /p UserOption="    Enter your choice: "
+
+if "%UserOption%"=="1" goto WebUIMenu
+if "%UserOption%"=="2" goto StandaloneMenu
+if "%UserOption%"=="9" goto End
+goto MainMenu
+
+:WebUIMenu
+cls
+echo.
+echo    %L_BLUE%TEXT-GENERATION-WEBUI SETUP%RESET%
+echo.
+echo    Please ensure you have started your Text-generation-webui Python 
+echo    environment. If you have NOT done this, please run %L_GREEN%cmd_windows.bat%RESET% 
+echo    in the %L_GREEN%text-generation-webui%RESET% folder and then re-run this script.
+echo.
+echo    BASE REQUIREMENTS
+echo    1) Install the requirements for a %L_GREEN%Nvidia machine%RESET%.
+echo    2) Install the requirements for a %L_GREEN%AMD or MAC machine%RESET%.
+echo.
+echo    OPTIONAL
+echo    3) Install the Finetuning requirements.
+echo    4) Install DeepSpeed v11.2 for CUDA %L_GREEN%11.8%RESET% and Python-3.11.x.
+echo    5) Install DeepSpeed v11.2 for CUDA %L_GREEN%12.1%RESET% and Python-3.11.x.
+echo    6) Uninstall DeepSpeed.
+echo.
+echo.   OTHER
+echo    7) Generate a diagnostics file.
+echo.
+echo    9) %L_RED%Exit/Quit%RESET%
+echo.
+set /p WebUIOption="Enter your choice: "
+if "%WebUIOption%"=="1" goto InstallNvidiaTextGen
+if "%WebUIOption%"=="2" goto InstallOtherTextGen
+if "%WebUIOption%"=="3" goto InstallFinetuneTextGen
+if "%WebUIOption%"=="4" goto InstallDeepSpeed118TextGen
+if "%WebUIOption%"=="5" goto InstallDeepSpeed121TextGen
+if "%WebUIOption%"=="6" goto UnInstallDeepSpeed
+if "%WebUIOption%"=="7" goto GenerateDiagsTextGen
+if "%WebUIOption%"=="9" goto End
+goto WebUIMenu
+
+:StandaloneMenu
+cls
+echo.
+echo    %L_BLUE%ALLTALK STANDALONE APPLICATION SETUP%RESET%
+echo.
+echo    BASE REQUIREMENTS
+echo    1) Install AllTalk as a Standalone Application
+echo.
+echo    OPTIONAL
+echo    2) Delete AllTalk's custom Python environment
+echo    3) Install the Finetuning requirements
+echo.
+echo.   OTHER
+echo    4) Generate a diagnostics file
+echo.
+echo    9) %L_RED%Exit/Quit%RESET%
+echo.
+set /p StandaloneOption="Enter your choice: "
+if "%StandaloneOption%"=="1" goto InstallCustomStandalone
+if "%StandaloneOption%"=="2" goto DeleteCustomStandalone
+if "%StandaloneOption%"=="3" goto InstallFinetuneStandalone
+if "%StandaloneOption%"=="4" goto GenerateDiagsStandalone
+if "%StandaloneOption%"=="9" goto End
+goto StandaloneMenu
+
+:InstallNvidiaTextGen
+pip install -r requirements_nvidia.txt
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    There was an error installing the Nvidia requirements.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+echo.
+Echo    Nvidia machine requirements installed successfully.
+Echo. 
+pause
+goto WebUIMenu
+
+:InstallOtherTextGen
+pip install -r requirements_other.txt
+if %ERRORLEVEL% neq 0 (
+    echo. 
+    echo    There was an error installing the Other requirements.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+echo.
+Echo    Other machine requirements installed successfully.
+Echo. 
+pause
+goto WebUIMenu
+
+:InstallFinetuneTextGen
+pip install -r requirements_finetune.txt
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    There was an error installing the Finetune requirements.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+Echo    Finetune requirements installed successfully. Please ensure you have installed CUDA 11.8.
+Echo    Finetune needs access to %L_GREEN%cublas64_11.dll%RESET% and will error if this is not setup correctly.
+Echo    Please see here for details %L_GREEN%https://github.com/erew123/alltalk_tts#-finetuning-a-model%RESET%
+Echo.
+pause
+goto WebUIMenu
+
+:InstallDeepSpeed118TextGen
+echo Downloading DeepSpeed...
+curl -LO https://github.com/erew123/alltalk_tts/releases/download/deepspeed/deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    Failed to download DeepSpeed wheel file.
+    echo    Please check your internet connection or try again later.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+echo DeepSpeed wheel file downloaded successfully.
+echo Installing DeepSpeed...
+pip install deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
+if %ERRORLEVEL% neq 0 (
+    echo. 
+    echo    Failed to install DeepSpeed.
+    echo    Please check if the wheel file is compatible with your system.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+echo.
+Echo    DeepSpeed installed successfully.
+Echo. 
+del deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
+pause
+goto WebUIMenu
+
+:InstallDeepSpeed121TextGen
+echo Downloading DeepSpeed...
+curl -LO https://github.com/erew123/alltalk_tts/releases/download/deepspeed/deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    Failed to download DeepSpeed wheel file.
+    echo    Please check your internet connection or try again later.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+echo    DeepSpeed wheel file downloaded successfully.
+echo    Installing DeepSpeed...
+pip install deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
+if %ERRORLEVEL% neq 0 (
+    echo. 
+    echo    Failed to install DeepSpeed.
+    echo    Please check if the wheel file is compatible with your system.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+echo.
+Echo    DeepSpeed installed successfully.
+Echo. 
+del deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
+pause
+goto WebUIMenu
+
+:UnInstallDeepSpeed
+pip uninstall deepspeed
+if %ERRORLEVEL% neq 0 (
+    echo. 
+    echo    There was an error uninstalling DeepSpeed.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto WebUIMenu
+)
+echo.
+Echo    DeepSpeed uninstalled successfully.
+Echo. 
+pause
+goto WebUIMenu
+
+:GenerateDiagsTextGen
+Python diagnostics.py
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    There was an error running diagnostics. Have you correctly started your 
+    echo    Text-generation-webui Python environment with %L_GREEN%cmd_windows.bat%RESET%?
+    echo.
+    pause
+    goto WebUIMenu
+)
+Echo.
+echo.
+Echo    Diagnostics.log generated. Please scroll up to look over the log.
+Echo. 
+pause
+goto WebUIMenu
+
+:InstallCustomStandalone
+set PATH=%PATH%;%SystemRoot%\system32
+
+@rem Check if curl is available
+curl --version >nul 2>&1
+if "%ERRORLEVEL%" NEQ "0" (
+    echo curl is not available on this system. Please install curl then re-run the script https://curl.se/ 
+	echo or perform a manual installation of a Conda Python environment.
+    goto end
+)
+echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. Please correct your folder names and re-try installation. && goto exit
+
+@rem Check for special characters in installation path
+set "SPCHARMESSAGE=WARNING: Special characters were detected in the installation path! This can cause the installation to fail!"
+echo "%CD%"| findstr /R /C:"[!#\$%&()\*+,;<=>?@\[\]\^`{|}~]" >nul && (
+    call :PrintBigMessage %SPCHARMESSAGE%
+)
+set SPCHARMESSAGE=
+
+@rem fix failed install when installing to a separate drive
+set TMP=%cd%\alltalk_environment
+set TEMP=%cd%\alltalk_environment
+
+@rem deactivate existing conda envs as needed to avoid conflicts
+(call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
+
+@rem config
+set INSTALL_DIR=%cd%\alltalk_environment
+set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
+set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
+set MINICONDA_DOWNLOAD_URL=https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Windows-x86_64.exe
+set conda_exists=F
+
+@rem figure out whether git and conda need to be installed
+call "%CONDA_ROOT_PREFIX%\_conda.exe" --version >nul 2>&1
+if "%ERRORLEVEL%" EQU "0" (
+    set conda_exists=T
+    call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
+    goto RunScript
+)
+
+@rem download and install conda if not installed
+echo Downloading Miniconda from %MINICONDA_DOWNLOAD_URL% to %INSTALL_DIR%\miniconda_installer.exe
+mkdir "%INSTALL_DIR%"
+call curl -Lk "%MINICONDA_DOWNLOAD_URL%" > "%INSTALL_DIR%\miniconda_installer.exe" || ( echo. && echo Miniconda failed to download. && goto end )
+echo Installing Miniconda to %CONDA_ROOT_PREFIX%
+start /wait "" "%INSTALL_DIR%\miniconda_installer.exe" /InstallationType=JustMe /NoShortcuts=1 /AddToPath=0 /RegisterPython=0 /NoRegistry=1 /S /D=%CONDA_ROOT_PREFIX%
+echo Miniconda version:
+call "%CONDA_ROOT_PREFIX%\_conda.exe" --version || ( echo. && echo Miniconda not found. && goto end )
+
+@rem create the installer env
+echo Packages to install: %PACKAGES_TO_INSTALL%
+call "%CONDA_ROOT_PREFIX%\_conda.exe" create --no-shortcuts -y -k --prefix "%INSTALL_ENV_DIR%" python=3.11 || ( echo. && echo Conda environment creation failed. && goto end )
+
+@rem check if conda environment was actually created
+if not exist "%INSTALL_ENV_DIR%\python.exe" ( echo. && echo Conda environment is empty. && goto end )
+
+@rem activate installer env
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
+
+@rem Ask user for the type of requirements to install
+echo.
+echo    %L_BLUE%Choose the type of requirements to install%RESET%
+echo.
+echo    1. Nvidia graphics card machines
+echo    2. Other machines (mac, amd, etc)
+echo.
+set /p UserChoice="Enter your choice (1 or 2): "
+
+@rem Install requirements based on user choice
+if "%UserChoice%" == "1" (
+    echo.
+    echo Installing Nvidia requirements...
+    echo Downloading Pytorch with CUDA..
+    pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --upgrade --force-reinstall --index-url https://download.pytorch.org/whl/cu121
+    pip install numpy==1.24.4
+    pip install typing-extensions>=4.8.0
+    pip install networkx<3.0.0,>=2.5.0
+    pip install fsspec>=2023.6.0
+    pip install soundfile==0.12.1
+    pip install uvicorn==0.24.0.post1
+    pip install transformers>=4.37.1
+    pip install TTS==0.21.3
+    pip install fastapi==0.104.1
+    pip install Jinja2==3.1.2
+    pip install requests==2.31.0
+    pip install tqdm==4.66.1
+    pip install importlib-metadata==4.8.1
+    pip install packaging==23.2
+    pip install pydantic==1.10.13
+    pip install sounddevice==0.4.6
+    pip install python-multipart==0.0.6
+    pip install cutlet>=0.3.0
+    pip install unidic-lite>=1.0.8
+    echo Downloading DeepSpeed...
+    curl -LO https://github.com/erew123/alltalk_tts/releases/download/DeepSpeed-12.7/deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
+    echo Installing DeepSpeed...
+    pip install deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
+    del deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
+) else (
+    echo Installing requirements for other machines...
+    pip install -r requirements_other.txt
+)
+
+@rem Create start_environment.bat to run AllTalk environment
+echo @echo off > start_environment.bat
+echo cd /D "%~dp0" >> start_environment.bat
+echo set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda >> start_environment.bat
+echo set INSTALL_ENV_DIR=%cd%\alltalk_environment\env >> start_environment.bat
+echo call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" >> start_environment.bat
+@rem Create start_alltalk.bat to run AllTalk
+echo @echo off > start_alltalk.bat
+echo cd /D "%~dp0" >> start_alltalk.bat
+echo set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda >> start_alltalk.bat
+echo set INSTALL_ENV_DIR=%cd%\alltalk_environment\env >> start_alltalk.bat
+echo call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" >> start_alltalk.bat
+echo call python script.py >> start_alltalk.bat
+Echo.
+Echo    start_alltalk.bat has been created.
+Echo    You can now start AllTalk with %L_YELLOW%start_alltalk.bat%RESET%
+Echo.
+pause
+goto StandaloneMenu
+
+:DeleteCustomStandalone
+@rem Check if the alltalk_environment directory exists
+if not exist "%cd%\alltalk_environment\" (
+    echo.
+    echo    %L_GREEN%alltalk_environment%RESET% directory does not exist. No need to delete.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+@rem Check if a Conda environment is active
+if not defined CONDA_PREFIX goto NoCondaEnvDeleteCustomStandalone
+@rem Deactivate Conda environment if it's active
+Echo    Exiting the Conda Environment. Please run %L_GREEN%atsetup.bat%RESET% again and delete the environment.
+conda deactivate
+:NoCondaEnvDeleteCustomStandalone
+echo Deleting "alltalk_environment". Please wait.
+rd /s /q "alltalk_environment"
+del start_alltalk.bat
+del start_environment.bat
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    Failed to delete alltalk_environment folder.
+    echo    Please make sure it is not in use and try again.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+echo.
+Echo.
+echo    Environment %L_GREEN%alltalk_environment%RESET% deleted. Please set up the environment again.
+Echo.
+pause
+goto StandaloneMenu
+
+:InstallFinetuneStandalone
+cd /D "%~dp0"
+set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
+set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
+@rem Check if the Conda environment exists
+if not exist "%INSTALL_ENV_DIR%\python.exe" (
+    echo.
+    echo    The Conda environment at "%INSTALL_ENV_DIR%" does not exist.
+    echo    Please install the environment before proceeding.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+@rem Attempt to activate the Conda environment
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
+if errorlevel 1 (
+    echo. 
+    echo    Failed to activate the Conda environment.
+    echo    Please check your installation and try again.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+@rem Proceed with installing requirements
+pip install -r requirements_finetune.txt
+if %ERRORLEVEL% neq 0 (
+    echo. 
+    echo    There was an error installing the Finetune requirements.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+Echo.
+Echo    Finetune requirements installed successfully. Please ensure you have installed CUDA 11.8.
+Echo    Finetune needs access to %L_GREEN%cublas64_11.dll%RESET% and will error if this is not setup correctly.
+Echo    Please see here for details %L_GREEN%https://github.com/erew123/alltalk_tts#-finetuning-a-model%RESET%
+Echo.
+pause
+goto StandaloneMenu
+
+:GenerateDiagsStandalone
+cd /D "%~dp0"
+set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
+set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
+@rem Check if the Conda environment exists
+if not exist "%INSTALL_ENV_DIR%\python.exe" (
+    echo.
+    echo    The Conda environment at "%INSTALL_ENV_DIR%" does not exist.
+    echo    Please install the environment before proceeding.
+    echo. 
+    pause
+    goto StandaloneMenu
+)
+@rem Attempt to activate the Conda environment
+call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
+if errorlevel 1 (
+    echo. 
+    echo    Failed to activate the Conda environment.
+    echo    Please check your installation and try again.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+@rem Run diagnostics
+Python diagnostics.py
+if %ERRORLEVEL% neq 0 (
+    echo.
+    echo    There was an error running diagnostics.
+    echo    Press any key to return to the menu.
+    echo.
+    pause
+    goto StandaloneMenu
+)
+Echo.
+Echo.
+Echo    Diagnostics.log generated. Please scroll up to look over the log.
+Echo.
+pause
+goto StandaloneMenu
+
+:End
+echo Exiting AllTalk Setup Utility...
+exit /b

atsetup.sh

@@ -0,0 +1,443 @@
+#!/bin/bash
+
+# ANSI color codes
+RED='\033[1;31m'
+GREEN='\033[1;32m'
+YELLOW='\033[1;33m'
+BLUE='\033[1;34m'
+CYAN='\033[1;36m'
+MAGENTA='\033[1;35m'
+WHITE='\033[1;37m'
+L_RED='\033[1;91m'
+L_GREEN='\033[1;92m'
+L_YELLOW='\033[1;93m'
+L_BLUE='\033[1;94m'
+L_CYAN='\033[1;96m'
+L_MAGENTA='\033[1;95m'
+NC='\033[0m' # No Color
+
+# Navigate to the script's directory
+cd "$(dirname "$0")"
+
+# Function to check if curl is installed
+check_curl() {
+    if ! command -v curl &> /dev/null; then
+        echo "curl is not available on this system. Please install curl then re-run the script https://curl.se/"
+        echo "or perform a manual installation of a Conda Python environment."
+        exit 1
+    fi
+}
+
+# Main Menu
+main_menu() {
+    while true; do
+        clear
+        echo
+        echo -e "    ${L_BLUE}ALLTALK LINUX SETUP UTILITY${NC}"
+        echo
+        echo "    INSTALLATION TYPE"
+        echo -e "    1) I am using AllTalk as part of ${L_GREEN}Text-generation-webui${NC}"
+        echo -e "    2) I am using AllTalk as a ${L_GREEN}Standalone Application${NC}"
+        echo
+        echo -e "    9)${L_RED} Exit/Quit${NC}"
+        echo
+        read -p "    Enter your choice: " user_option
+
+        case $user_option in
+            1) webui_menu ;;
+            2) standalone_menu ;;
+            9) exit 0 ;;
+            *) echo "Invalid option"; sleep 2 ;;
+        esac
+    done
+}
+
+# Text-generation-webui Menu
+webui_menu() {
+    while true; do
+        clear
+        echo
+        echo -e "    ${L_BLUE}TEXT-GENERATION-WEBUI SETUP${NC}"
+        echo
+        echo -e "    Please ensure you have started your Text-generation-webui Python"
+        echo -e "    environment. If you have NOT done this, please run ${L_GREEN}/cmd_linux.sh${NC}"
+        echo -e "    in the ${L_GREEN}text-generation-webui${NC} folder and then re-run this script."
+        echo
+        echo "    BASE REQUIREMENTS"
+        echo -e "    1) Install the AllTalk requirements for an ${L_GREEN}Nvidia GPU machine.${NC}"
+        echo -e "    2) Install the AllTalk requirements for an ${L_GREEN}AMD or MAC machine.${NC}"
+        echo
+        echo "    OPTIONAL"
+        echo "    3) Install the Finetuning requirements."
+        echo "    4) Install DeepSpeed."
+        echo "    5) Uninstall DeepSpeed."
+        echo
+        echo "    OTHER"
+        echo "    6) Generate a diagnostics file."
+        echo
+        echo -e "    9)${L_RED} Exit/Quit${NC}"
+        echo
+        read -p "    Enter your choice: " webui_option
+
+        case $webui_option in
+            1) install_nvidia_textgen ;;
+            2) install_other_textgen ;;
+            3) install_finetune_textgen ;;
+            4) install_deepspeed ;;
+            5) uninstall_deepspeed ;;
+            6) generate_diagnostics_textgen ;;
+            9) exit 0 ;;
+            *) echo "Invalid option"; sleep 2 ;;
+        esac
+    done
+}
+
+install_nvidia_textgen() {
+    local requirements_file="requirements_nvidia.txt"
+    echo "    Installing Finetune requirements from $requirements_file..."
+    if ! pip install -r "$requirements_file"; then
+        echo "    There was an error installing the Nvidia requirements."
+        echo "    Please check the output for details."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    echo "    Nvidia requirements installed successfully."
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+install_other_textgen() {
+    local requirements_file="requirements_other.txt"
+    echo "    Installing Other machine requirements from $requirements_file..."
+    if ! pip install -r "$requirements_file"; then
+        echo "    There was an error installing the Other requirements."
+        echo "    Please check the output for details."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    echo "    Other machine requirements installed successfully."
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+install_finetune_textgen() {
+    local requirements_file="requirements_finetune.txt"
+    echo "    Installing Finetune requirements from $requirements_file..."
+    if ! pip install -r "$requirements_file"; then
+        echo "    There was an error installing the Finetune requirements."
+        echo "    Please check the output for details."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    echo
+    echo "    Finetune base requirements installed successfully."
+    echo
+    echo -e "    Finetuning requires access to ${GREEN}Cublas${NC} from the ${GREEN}Nvidia CUDA Toolkit${NC}, so will need installing."
+    echo
+    echo -e "    Instructions can be found here:"
+    echo -e "    ${GREEN}https://github.com/erew123/alltalk_tts?#-finetuning-a-model${NC}"
+    echo
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+# Function to install DeepSpeed
+install_deepspeed() {
+    clear
+    echo
+    echo -e "    ${L_BLUE}DEEPSPEED INSTALLATION REQUIREMENTS${NC}"
+    echo
+    echo -e "    - NVIDIA CUDA Toolkit must be installed from your ${L_GREEN}Linux package manager${NC}"
+    echo -e "      or ${L_GREEN}https://developer.nvidia.com/cuda-toolkit-archive${NC}"
+    echo -e "    - The environment variable ${L_GREEN}CUDA_HOME${NC} must be set in your Python env"
+    echo -e "      e.g. export CUDA_HOME=/usr/local/cuda."
+    echo -e "    - ${L_GREEN}libaio-dev${NC} must be installed."
+    echo
+    echo -e "    See the following link for full instructions:"
+    echo -e "    ${L_GREEN}https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options${NC}"
+    echo
+    echo -e "    ${L_BLUE}Please ${L_RED}confirm${L_BLUE} that you have completed these steps before continuing" 
+    echo -e "    with the DeepSpeed installation, or the install ${L_RED}will fail.${NC}"
+    echo
+    read -p "    Have you completed all the above steps? (y/n): " confirm
+
+    if [ "$confirm" != "y" ]; then
+        echo -e "    ${RED}DeepSpeed installation cannot proceed without completing the prerequisites.${NC}"
+        return
+    fi
+
+    echo -e "\n    ${GREEN}Proceeding with DeepSpeed installation...${NC}"
+    pip install deepspeed
+    if [ $? -ne 0 ]; then
+        echo -e "    ${RED}There was an error installing DeepSpeed.${NC}"
+        return
+    fi
+
+    echo -e "    ${GREEN}DeepSpeed installed successfully.${NC}"
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+uninstall_deepspeed() {
+    echo "Uninstalling DeepSpeed..."
+    pip uninstall -y deepspeed
+    if [ $? -ne 0 ]; then
+        echo "    There was an error uninstalling DeepSpeed."
+        echo "    Press any key to return to the menu."
+        read -n 1
+        return
+    fi
+    echo "    DeepSpeed uninstalled successfully."
+    echo "    Press any key to continue."
+    read -n 1
+}
+
+generate_diagnostics_textgen() {
+    # Run diagnostics
+    if ! python diagnostics.py; then
+        echo "    There was an error running diagnostics."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+
+    echo "    Diagnostics completed successfully."
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+# Standalone Menu
+standalone_menu() {
+    while true; do
+        clear
+        echo
+        echo -e "    ${L_BLUE}ALLTALK STANDALONE APPLICATION SETUP${NC}"
+        echo
+        echo "    BASE REQUIREMENTS"
+        echo "    1) Install AllTalk as a Standalone Application"
+        echo
+        echo "    OPTIONAL"
+        echo "    2) Delete AllTalk's custom Python environment"
+        echo "    3) Install the Finetuning requirements"
+        echo "    4) Install DeepSpeed."
+        echo
+        echo "    OTHER"        
+        echo "    5) Generate a diagnostics file"
+        echo
+        echo -e "    9)${L_RED} Exit/Quit${NC}"
+        echo
+        read -p "    Enter your choice: " standalone_option
+
+        case $standalone_option in
+            1) install_custom_standalone ;;
+            2) delete_custom_standalone ;;
+            3) install_finetune_standalone ;;
+            4) install_deepspeed ;;
+            5) generate_diagnostics_standalone ;;
+            9) exit 0 ;;
+            *) echo "Invalid option"; sleep 2 ;;
+        esac
+    done
+}
+
+install_custom_standalone() {
+    cd "$(dirname "${BASH_SOURCE[0]}")"
+
+    if [[ "$(pwd)" =~ " " ]]; then
+        echo "This script relies on Miniconda which can not be silently installed under a path with spaces."
+        exit
+    fi
+
+    # Deactivate existing conda envs as needed to avoid conflicts
+    { conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+
+    OS_ARCH=$(uname -m)
+    case "${OS_ARCH}" in
+        x86_64*)    OS_ARCH="x86_64" ;;
+        arm64* | aarch64*) OS_ARCH="aarch64" ;;
+        *)          echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit ;;
+    esac
+
+    # Config
+    INSTALL_DIR="$(pwd)/alltalk_environment"
+    CONDA_ROOT_PREFIX="${INSTALL_DIR}/conda"
+    INSTALL_ENV_DIR="${INSTALL_DIR}/env"
+    MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-${OS_ARCH}.sh"
+
+    if [ ! -x "${CONDA_ROOT_PREFIX}/bin/conda" ]; then
+        echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to ${INSTALL_DIR}/miniconda_installer.sh"
+        mkdir -p "${INSTALL_DIR}"
+        curl -L "${MINICONDA_DOWNLOAD_URL}" -o "${INSTALL_DIR}/miniconda_installer.sh"
+        chmod +x "${INSTALL_DIR}/miniconda_installer.sh"
+        bash "${INSTALL_DIR}/miniconda_installer.sh" -b -p "${CONDA_ROOT_PREFIX}"
+        echo "Miniconda installed."
+    fi
+
+    if [ ! -d "${INSTALL_ENV_DIR}" ]; then
+        "${CONDA_ROOT_PREFIX}/bin/conda" create -y --prefix "${INSTALL_ENV_DIR}" python=3.11
+        echo "Conda environment created at ${INSTALL_ENV_DIR}."
+    fi
+
+    # Activate the environment and install requirements
+    source "${CONDA_ROOT_PREFIX}/etc/profile.d/conda.sh"
+    conda activate "${INSTALL_ENV_DIR}"
+
+    echo
+    echo -e "    ${L_BLUE}Choose the type of requirements to install${NC}"
+    echo
+    echo "    1. Nvidia graphics card machines"
+    echo "    2. Other machines (mac, amd, etc)"
+    echo
+    read -p "    Enter your choice (1 or 2): " user_choice
+
+    if [ "$user_choice" == "1" ]; then
+    	pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --upgrade --force-reinstall --index-url https://download.pytorch.org/whl/cu121
+    	pip install numpy==1.24.4
+	pip install typing-extensions>=4.8.0
+	pip install networkx<3.0.0,>=2.5.0
+    	pip install fsspec>=2023.6.0
+	pip install soundfile==0.12.1
+    	pip install uvicorn==0.24.0.post1
+        pip install transformers>=4.37.1
+    	pip install TTS==0.21.3
+    	pip install fastapi==0.104.1
+    	pip install Jinja2==3.1.2
+    	pip install requests==2.31.0
+    	pip install tqdm==4.66.1
+    	pip install importlib-metadata==4.8.1
+    	pip install packaging==23.2
+    	pip install pydantic==1.10.13
+    	pip install sounddevice==0.4.6
+    	pip install python-multipart==0.0.6
+        pip install cutlet>=0.3.0
+    	pip install unidic-lite>=1.0.8
+    else
+        pip install -r requirements_other.txt
+    fi
+    # Create start_environment.sh to run AllTalk
+    cat << EOF > start_environment.sh
+#!/bin/bash
+cd "$(dirname "${BASH_SOURCE[0]}")"
+if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
+# deactivate existing conda envs as needed to avoid conflicts
+{ conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
+# config
+CONDA_ROOT_PREFIX="$(pwd)/alltalk_environment/conda"
+INSTALL_ENV_DIR="$(pwd)/alltalk_environment/env"
+# environment isolation
+export PYTHONNOUSERSITE=1
+unset PYTHONPATH
+unset PYTHONHOME
+export CUDA_PATH="$INSTALL_ENV_DIR"
+export CUDA_HOME="$CUDA_PATH"
+# activate env
+bash --init-file <(echo "source \"$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh\" && conda activate \"$INSTALL_ENV_DIR\"")
+EOF
+    # Create start_alltalk.sh to run AllTalk
+    cat << EOF > start_alltalk.sh
+#!/bin/bash
+source "${CONDA_ROOT_PREFIX}/etc/profile.d/conda.sh"
+conda activate "${INSTALL_ENV_DIR}"
+python script.py
+EOF
+    chmod +x start_alltalk.sh
+    chmod +x start_environment.sh
+    echo
+    echo
+    echo -e "    start_alltalk.sh has been created."
+    echo -e "    You can now start AllTalk with ${L_YELLOW}./start_alltalk.sh${NC}"
+    echo
+    read -p "    Press any key to continue. " -n 1
+}
+
+
+delete_custom_standalone() {
+    local env_dir="$PWD/alltalk_environment"
+    # Check if the alltalk_environment directory exists
+    if [ ! -d "$env_dir" ]; then
+        echo "    \"$env_dir\" directory does not exist. No need to delete."
+        read -p "    Press any key to continue. " -n 1
+        echo
+        return
+    fi
+    # Check if a Conda environment is active and deactivate it
+    if [ -n "$CONDA_PREFIX" ]; then
+        echo "    Exiting the Conda environment. You may need to start ./atstart.sh again"
+        conda deactivate
+    fi
+    echo "Deleting \"$env_dir\". Please wait."
+    rm -rf "$env_dir"
+    if [ -d "$env_dir" ]; then
+        echo "    Failed to delete \"$env_dir\" folder."
+        echo "    Please make sure it is not in use and try again."
+    else
+        echo "    Environment \"$env_dir\" deleted successfully."
+    fi
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+install_finetune_standalone() {
+    local env_dir="$PWD/alltalk_environment"
+    local conda_root_prefix="${env_dir}/conda"
+    local install_env_dir="${env_dir}/env"
+    if [ ! -d "${install_env_dir}" ]; then
+        echo "    The Conda environment at '${install_env_dir}' does not exist."
+        echo "    Please install the environment before proceeding."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    source "${conda_root_prefix}/etc/profile.d/conda.sh"
+    conda activate "${install_env_dir}"
+    local requirements_file="requirements_finetune.txt"
+    echo "Installing Finetune requirements from $requirements_file..."
+    if ! pip install -r "$requirements_file"; then
+        echo "    There was an error installing the Finetune requirements."
+        echo "    Please check the output for details."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    echo
+    echo "    Finetune base requirements installed successfully."
+    echo
+    echo -e "    Finetuning requires access to ${GREEN}Cublas${NC} from the ${GREEN}Nvidia CUDA Toolkit${NC}, so will need installing."
+    echo
+    echo -e "    Instructions can be found here:"
+    echo -e "    ${GREEN}https://github.com/erew123/alltalk_tts?#-finetuning-a-model${NC}"
+    echo
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+generate_diagnostics_standalone() {
+    local env_dir="$PWD/alltalk_environment"
+    local conda_root_prefix="${env_dir}/conda"
+    local install_env_dir="${env_dir}/env"
+    if [ ! -d "${install_env_dir}" ]; then
+        echo "    The Conda environment at '${install_env_dir}' does not exist."
+        echo "    Please install the environment before proceeding."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    source "${conda_root_prefix}/etc/profile.d/conda.sh"
+    conda activate "${install_env_dir}"
+    if ! python diagnostics.py; then
+        echo "    There was an error running diagnostics."
+        read -p "    Press any key to return to the menu. " -n 1
+        echo
+        return
+    fi
+    echo "    Diagnostics completed successfully."
+    read -p "    Press any key to continue. " -n 1
+    echo
+}
+
+
+# Start the main menu
+main_menu

config.json

@@ -1 +0,0 @@
-{"activate": true, "autoplay": true, "branding": "AllTalk ", "narrator_enabled": false, "deepspeed_activate": false, "delete_output_wavs": "Disabled", "ip_address": "127.0.0.1", "language": "English", "low_vram": false, "local_temperature": "0.7", "local_repetition_penalty": "12.0", "model_loaded": true, "model_name": "tts_models/multilingual/multi-dataset/xtts_v2", "narrator_voice": "female_01.wav", "output_folder_wav": "extensions/alltalk_tts/outputs/", "port_number": "7851", "remove_trailing_dots": false, "show_text": true, "tts_method_api_local": false, "tts_method_api_tts": false, "tts_method_xtts_local": true, "voice": "female_01.wav"}

confignew.json

@@ -0,0 +1,25 @@
+{
+    "activate": true,
+    "autoplay": true,
+    "branding": "AllTalk ",
+    "narrator_enabled": false,
+    "deepspeed_activate": false,
+    "delete_output_wavs": "Disabled",
+    "ip_address": "127.0.0.1",
+    "language": "English",
+    "low_vram": false,
+    "local_temperature": "0.7",
+    "local_repetition_penalty": "10.0",
+    "tts_model_loaded": true,
+    "tts_model_name": "tts_models/multilingual/multi-dataset/xtts_v2",
+    "narrator_voice": "female_01.wav",
+    "output_folder_wav": "extensions/alltalk_tts/outputs/",
+    "output_folder_wav_standalone": "outputs/",
+    "port_number": "7851",
+    "remove_trailing_dots": false,
+    "show_text": true,
+    "tts_method_api_local": false,
+    "tts_method_api_tts": false,
+    "tts_method_xtts_local": true,
+    "voice": "female_01.wav"
+}

diagnostics.py

@@ -0,0 +1,239 @@
+try:
+    import platform
+    import subprocess
+    import logging
+    from importlib_metadata import distributions
+    import torch
+    import os  # Import the os module
+    import re
+    import sys
+    import glob
+    import textwrap
+    import packaging.version
+    import packaging.specifiers
+    from packaging.specifiers import SpecifierSet
+    from packaging.specifiers import SpecifierSet
+    from packaging.version import parse as parse_version
+except ImportError as e:
+    print(f"\033[91mError importing module: {e}\033[0m\n")
+    print("\033[94mPlease ensure you started the Text-generation-webUI Python environment with either\033[0m")
+    print("\033[92mcmd_linux.sh\033[0m, \033[92mcmd_windows.bat\033[0m, \033[92mcmd_macos.sh\033[0m, or \033[92mcmd_wsl.bat\033[0m")
+    print("\033[94mfrom the text-generation-webui directory, and then try running the diagnostics again.\033[0m")
+    exit(1)
+
+try:
+    import psutil
+except ImportError:
+    print("psutil not found. Installing...")
+    subprocess.run(['pip', 'install', 'psutil'])
+    import psutil
+
+def get_requirements_file():
+    requirements_files = glob.glob("requirements*.txt")
+    if not requirements_files:
+        print("\033[91mNo requirements files found.\033[0m")
+        return None
+
+    print("\033[94m\nSelect a requirements file to check against (or press Enter for default 'requirements.txt'):\033[0m\n")
+    for i, file in enumerate(requirements_files, start=1):
+        print(f"{i}. {file}")
+
+    choice = input("\nEnter the number of your choice: ")
+    try:
+        choice = int(choice) - 1
+        return requirements_files[choice]
+    except (ValueError, IndexError):
+        return "requirements.txt"
+
+# Set up logging with filemode='w'
+logging.basicConfig(filename='diagnostics.log', filemode='w', level=logging.INFO)
+
+# Function to get GPU information using subprocess
+def get_gpu_info():
+    try:
+        result = subprocess.run(['nvidia-smi'], stdout=subprocess.PIPE, text=True)
+        return result.stdout
+    except FileNotFoundError:
+        return "NVIDIA GPU information not available"
+
+# Function to check if a port is in use
+def is_port_in_use(port):
+    for conn in psutil.net_connections():
+        if conn.laddr.port == port:
+            return True
+    return False
+
+def satisfies_wildcard(installed_version, required_version):
+    if '*' in required_version:
+        required_parts = required_version.split('.')
+        installed_parts = installed_version.split('.')
+        for req, inst in zip(required_parts, installed_parts):
+            if req != '*' and req != inst:
+                return False
+        return True
+    return False
+
+# Function to log and print system information
+def log_system_info():
+    # System information
+    os_version = platform.system() + " " + platform.version()
+    
+    # Get CUDA_HOME environment variable
+    cuda_home = os.environ.get('CUDA_HOME', 'N/A')
+
+    gpu_info = get_gpu_info()
+
+    # Python environment information
+    python_version = platform.python_version()
+
+    # Torch version
+    torch_version = torch.__version__
+
+    # System RAM using psutil
+    try:
+        virtual_memory = psutil.virtual_memory()
+        total_ram = f"{virtual_memory.total / (1024 ** 3):.2f} GB"
+        available_ram = f"{virtual_memory.available / (1024 ** 3):.2f} GB"
+        system_ram = f"{available_ram} available out of {total_ram} total"
+    except NameError:
+        print("psutil is not installed. Unable to check system RAM.")
+        system_ram = "N/A"
+
+    # Port check (if psutil is available)
+    port_status = "N/A"
+    if 'psutil' in globals():
+        port_to_check = 7851
+        if is_port_in_use(port_to_check):
+            port_status = f"Port {port_to_check} is in use."
+        else:
+            port_status = f"Port {port_to_check} is available."
+
+    # Package versions using importlib_metadata
+    package_versions = {d.metadata['Name']: d.version for d in distributions()}
+
+    # Python environment information
+    python_executable = sys.executable
+    python_version_info = sys.version_info
+    python_virtual_env = os.environ.get('VIRTUAL_ENV', 'N/A')
+
+    # Conda environment information
+    conda_env = os.environ.get('CONDA_DEFAULT_ENV', 'N/A')
+
+    # Get Path environment information
+    search_path = sys.path
+    path_env = os.environ.get('PATH', 'N/A')
+
+    # Compare with requirements file
+    requirements_file = get_requirements_file()
+    if requirements_file:
+        required_packages = {}
+        installed_packages = {}
+
+        try:
+            with open(requirements_file, 'r') as req_file:
+                requirements = [line.strip() for line in req_file]
+                for req in requirements:
+                    # Use regular expression to parse package name and version
+                    match = re.match(r'([^\s>=]+)\s*([>=<]+)\s*([^,]+)', req)
+                    if match:
+                        package_name, operator, version_spec = match.groups()
+                        installed_version = package_versions.get(package_name, 'Not installed')
+                        if installed_version != 'Not installed':
+                            required_packages[package_name] = (operator, version_spec)
+                            installed_packages[package_name] = installed_version
+        except FileNotFoundError:
+            print(f"\n{requirements_file} not found. Skipping version checks.")
+            logging.info(f"NOTE {requirements_file} not found. Skipping version checks.")
+
+    # Log and print information
+    logging.info(f"OS Version: {os_version}")
+    logging.info(f"Note: Windows 11 will list as build is 10.x.22xxx")
+    logging.info(f"Torch Version: {torch_version}")
+    logging.info(f"System RAM: {system_ram}")
+    logging.info(f"CUDA_HOME: {cuda_home}")
+    logging.info(f"Port Status: {port_status}")
+    logging.info(f"Python Version: {platform.python_version()}")
+    logging.info(f"Python Version Info: {python_version_info}")
+    logging.info(f"Python Executable: {python_executable}")
+    logging.info(f"Python Virtual Environment: {python_virtual_env} (Should be N/A when in Text-generation-webui Conda Python environment)")
+    logging.info(f"Conda Environment: {conda_env}")
+    logging.info("\nPython Search Path:")
+    for path in search_path:
+        logging.info(f"  {path}")
+    logging.info("\nOS PATH Environment Variable:")
+    for path in path_env.split(';'):
+        logging.info(f"  {path}")
+    if required_packages:  # Check if the dictionary is not empty
+        logging.info("\nPackage Versions:")
+        max_package_length = max(len(package) for package in required_packages.keys())
+        for package_name, (operator, required_version) in required_packages.items():
+            installed_version = installed_packages.get(package_name, 'Not installed')
+            logging.info(f"{package_name.ljust(max_package_length)}  Required: {operator} {required_version.ljust(12)}  Installed: {installed_version}")
+    logging.info(f"GPU Information:\n{gpu_info}")
+    logging.info("Package Versions:")
+    for package, version in package_versions.items():
+        logging.info(f"{package}>= {version}")
+
+    # Print to screen
+    print(f"\n\033[94mOS Version:\033[0m \033[92m{os_version}\033[0m")
+    print(f"\033[94mOS Ver note:\033[0m \033[92m(Windows 11 will say build is 10.x.22xxx)\033[0m")
+    print(f"\033[94mCUDA_HOME:\033[0m \033[92m{cuda_home}\033[0m")
+    print(f"\033[94mSystem RAM:\033[0m \033[92m{system_ram}\033[0m")
+    print(f"\033[94mPort Status:\033[0m \033[92m{port_status}\033[0m")
+    print(f"\033[94mTorch Version:\033[0m \033[92m{torch_version}\033[0m")
+    print(f"\033[94mPython Version:\033[0m \033[92m{platform.python_version()}\033[0m")
+    print(f"\033[94mPython Version Info:\033[0m \033[92m{python_version_info}\033[0m")
+    print(f"\033[94mPython Executable:\033[0m \033[92m{python_executable}\033[0m")
+    print(f"\033[94mPython Virtual Environment:\033[0m \033[92m{python_virtual_env}\033[0m (Should be N/A when in Text-generation-webui Conda Python environment)")
+    print(f"\033[94mConda Environment:\033[0m \033[92m{conda_env}\033[0m")
+    print(f"\n\033[94mPython Search Path:\033[0m")
+    for path in search_path:
+        print(f"  {path}")
+    print(f"\n\033[94mOS Search PATH Environment Variable:\033[0m")
+    for path in path_env.split(';'):
+        print(f"  {path}")
+    if required_packages:  # Check if the dictionary is not empty
+        print("\033[94m\nRequirements file package comparison:\033[0m")
+        max_package_length = max(len(package) for package in required_packages.keys())
+
+        for package_name, (operator, required_version) in required_packages.items():
+            installed_version = installed_packages.get(package_name, 'Not installed')
+
+            # Exclude build information (e.g., +cu118) before creating the SpecifierSet
+            required_version_no_build = required_version.split("+")[0]
+
+            if '*' in required_version:
+                condition_met = satisfies_wildcard(installed_version, required_version)
+            else:
+                # Compare versions using packaging.version
+                required_specifier = SpecifierSet(f"{operator}{required_version_no_build}")
+                installed_version = parse_version(installed_version)
+                condition_met = installed_version in required_specifier
+
+            color_required = "\033[92m" if condition_met else "\033[91m"
+            color_installed = "\033[92m" if condition_met else "\033[91m"
+
+            # Print colored output
+            print(f"{package_name.ljust(max_package_length)}  Required: {color_required}{operator} {required_version.ljust(12)}\033[0m  Installed: {color_installed}{installed_version}\033[0m")
+
+        print("\nOn Nvidia Graphics cards machines, if your \033[92mInstalled\033[0m version of \033[92mTorch\033[0m and \033[92mTorchaudio\033[0m does")    
+        print("not have \033[92m+cu118\033[0m (Cuda 11.8) or \033[92m+cu121\033[0m (Cuda 12.1) listed after them, you do not have CUDA")
+        print("installed for Torch or Torchaudio in this Python environment. This will cause you problems")
+        print("with \033[94mAllTalk\033[0m and \033[94mFinetuning.\033[0m You may have to 'pip install' a new version of torch and")
+        print("torchaudio, using '\033[94m--upgrade --force-reinstall\033[0m' with the correct version of PyTorch for\033[0m")
+        print("your Python environment.\033[0m")
+        print("\033[94m\nRequirements file specifier meanings:\033[0m")
+        explanation = textwrap.dedent("""
+        == Exact version              != Any version except          < Less than               
+        <= Less than or equal to      >  Greater than                >= Greater than or equal to
+        ~ Compatible release          ;  Environment marker          AND Logical AND           
+        OR Logical OR
+        """)
+        print(explanation.strip())
+    print("")
+    print(f"GPU Information:{gpu_info}")
+    print(f"\033[94mDiagnostic log created:\033[0m \033[92mdiagnostics.log\033[0m")
+    print(f"\033[94mPlease upload the log file with any support ticket.\033[0m")
+
+if __name__ == "__main__":
+    log_system_info()

docker-compose-cuda.yml

@@ -0,0 +1,20 @@
+version: '3.8'
+services:
+  alltalk-tts:
+    image: erew123/alltalk_tts:cuda
+    restart: unless-stopped
+    ports:
+      - "7851:7851"
+    volumes:
+      - ./outputs:/app/outputs/
+      - ./models:/app/models/
+      - ./voices:/app/voices/
+      - ./finetune/put-voice-samples-in-here:/app/finetune/put-voice-samples-in-here
+      - ./dockerconfig.json:/app/confignew.json
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [ gpu ]

docker-compose.yml

@@ -0,0 +1,13 @@
+version: '3.8'
+services:
+  alltalk-tts:
+    image: erew123/alltalk_tts:cpu
+    restart: unless-stopped
+    ports:
+      - "7851:7851"
+    volumes:
+      - ./outputs:/app/outputs/
+      - ./models:/app/models/
+      - ./voices:/app/voices/
+      - ./finetune/put-voice-samples-in-here:/app/finetune/put-voice-samples-in-here
+      - ./dockerconfig.json:/app/confignew.json

dockerconfig.json

@@ -0,0 +1,25 @@
+{
+    "activate": true,
+    "autoplay": true,
+    "branding": "AllTalk ",
+    "narrator_enabled": false,
+    "deepspeed_activate": true,
+    "delete_output_wavs": "Disabled",
+    "ip_address": "127.0.0.1",
+    "language": "English",
+    "low_vram": false,
+    "local_temperature": "0.7",
+    "local_repetition_penalty": "10.0",
+    "tts_model_loaded": true,
+    "tts_model_name": "tts_models/multilingual/multi-dataset/xtts_v2",
+    "narrator_voice": "female_01.wav",
+    "output_folder_wav": "extensions/alltalk_tts/outputs/",
+    "output_folder_wav_standalone": "outputs/",
+    "port_number": "7851",
+    "remove_trailing_dots": false,
+    "show_text": true,
+    "tts_method_api_local": false,
+    "tts_method_api_tts": false,
+    "tts_method_xtts_local": true,
+    "voice": "female_01.wav"
+}

finetune/compact.py

@@ -0,0 +1,26 @@
+import torch
+import os
+MODEL_PATH = "best_model.pth"
+# Check if best_model.pth exists
+if not os.path.exists(MODEL_PATH):
+    print(f"\nCannot find \033[94m{MODEL_PATH}\033[0m in the current folder.")
+    
+    # Check if model.pth exists as an alternative
+    ALTERNATIVE_PATH = "model.pth"
+    if os.path.exists(ALTERNATIVE_PATH):
+        print(f"\nIf your model is currently called \033[93m{ALTERNATIVE_PATH}\033[0m please rename it to \033[94mbest_model.pth\033[0m.")
+    else:
+        print(f"Please put \033[91mbest_model.pth\033[0m in the current folder or rename your model file to \033[94mbest_model.pth\033[0m.")
+    exit(1)
+# Attempt to load the model
+try:
+    checkpoint = torch.load(MODEL_PATH, map_location=torch.device("cpu"))
+except Exception as e:
+    print("Error loading checkpoint:", e)
+    raise
+del checkpoint["optimizer"]
+for key in list(checkpoint["model"].keys()):
+    if "dvae" in key:
+        del checkpoint["model"][key]
+torch.save(checkpoint, "model.pth")
+print(f"\nYour compacted model is created \033[93mmodel.pth\033[0m.")

launch.sh

@@ -0,0 +1,5 @@
+#!/bin/sh
+python modeldownload.py
+uvicorn tts_server:app --host 0.0.0.0 --port 7851 --workers 1 --proxy-headers &
+sleep 5
+python script.py

modeldownload.json

@@ -6,6 +6,9 @@
         "README.md": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/README.md?download=true",
         "config.json": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/config.json?download=true",
         "model.pth": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/model.pth?download=true",
+        "dvae.pth": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/dvae.pth?download=true",
+        "mel_stats.pth": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/mel_stats.pth?download=true",
+        "speakers_xtts.pth": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/speakers_xtts.pth?download=true",
         "vocab.json": "https://huggingface.co/coqui/XTTS-v2/resolve/v2.0.2/vocab.json?download=true"
     }
 }

modeldownload.py

@@ -6,9 +6,9 @@ import importlib.metadata as metadata
 import json
 from packaging import version
 
-##############################################################
+#################################################################
-#### LOAD PARAMS FROM CONFIG.JSON - REQUIRED FOR BRANDING ####
+#### LOAD PARAMS FROM confignew.json - REQUIRED FOR BRANDING ####
-##############################################################
+#################################################################
 # STARTUP VARIABLE - Create "this_dir" variable as the current script directory
 this_dir = Path(__file__).parent.resolve()
 
@@ -20,7 +20,7 @@ def load_config(file_path):
     return config
 
 
-config_file_path = this_dir / "config.json"
+config_file_path = this_dir / "confignew.json"
 params = load_config(config_file_path)
 
 # Define the path to the modeldownload config file file

nvidia.Dockerfile

@@ -0,0 +1,20 @@
+FROM nvidia/cuda:12.1.1-devel-ubuntu22.04
+ENV HOST 0.0.0.0
+RUN apt-get update && apt-get upgrade -y \
+    && apt-get install -y git build-essential portaudio19-dev \
+    python3 python3-pip gcc wget \
+    ocl-icd-opencl-dev opencl-headers clinfo \
+    libclblast-dev libopenblas-dev \
+    && mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd \
+    && ln -s /usr/bin/python3 /usr/bin/python
+WORKDIR /app
+COPY . .
+ENV CUDA_DOCKER_ARCH=all
+
+RUN pip install --no-cache-dir -r requirements_nvidia.txt && \
+    pip install --no-cache-dir -r requirements_finetune.txt && \
+    pip install --no-cache-dir -r requirements_other.txt && \
+    pip install --no-cache-dir deepspeed
+EXPOSE 7851
+RUN chmod +x launch.sh
+ENTRYPOINT ["sh", "-c", "./launch.sh"]

requirements_finetune.txt

@@ -0,0 +1,7 @@
+gradio>=3.50.2
+torch>=2.1.0+cu118
+torchaudio>=2.1.0+cu118
+TTS==0.21.3
+faster-whisper>=0.10.0
+tqdm>=4.66.0
+pandas>=1.5.0

requirements_nvidia.txt

@@ -1,6 +1,7 @@
 numpy>=1.22.0
 soundfile>=0.12.1
 uvicorn>=0.24.0.post1
+transformers>=4.37.1
 TTS>=0.21.3
 torch>=2.1.0+cu118
 torchaudio>=2.1.0+cu118
@@ -10,3 +11,8 @@ requests>=2.31.0
 tqdm>=4.66.1
 importlib-metadata>=4.8.1
 packaging>=23.2
+pydantic>=1.10.13
+sounddevice>=0.4.6
+python-multipart>=0.0.6
+cutlet>=0.3.0
+unidic-lite>=1.0.8

requirements_other.txt

@@ -1,6 +1,7 @@
 numpy>=1.22.0
 soundfile>=0.12.1
 uvicorn>=0.24.0.post1
+transformers>=4.37.1
 TTS>=0.21.3
 torch>=2.1.0
 torchaudio>=2.1.0
@@ -10,3 +11,8 @@ requests>=2.31.0
 tqdm>=4.66.1
 importlib-metadata>=4.8.1
 packaging>=23.2
+pydantic>=1.10.13
+sounddevice>=0.4.6
+python-multipart>=0.0.6
+cutlet>=0.3.0
+unidic-lite>=1.0.8

script.py

@@ -16,20 +16,30 @@ import numpy as np
 import soundfile as sf
 import uuid
 
-##############################################################
+######################################
-#### LOAD PARAMS FROM CONFIG.JSON - REQUIRED FOR BRANDING ####
+#### ALLTALK ALLOWED STARTUP TIME ####
-##############################################################
+######################################
+startup_wait_time = 120
+
+# You can change the above setting to a larger number to allow AllTAlk more time to start up. The default setting is 120 seconds (2 minutes).
+# On some older systems you may need to allow AllTalk more time. So you could set it to 240 (4 minutes) which will give AllTalk more to load.
+
+#################################################################
+#### LOAD PARAMS FROM confignew.json - REQUIRED FOR BRANDING ####
+#################################################################
 # STARTUP VARIABLE - Create "this_dir" variable as the current script directory
 this_dir = Path(__file__).parent.resolve()
 
+
 # load config file in and get settings
 def load_config(file_path):
     with open(file_path, "r") as config_file:
         config = json.load(config_file)
     return config
 
-config_file_path = this_dir / "config.json"
+
-# Load the params dictionary from the config.json file
+config_file_path = this_dir / "confignew.json"
+# Load the params dictionary from the confignew.json file
 params = load_config(config_file_path)
 
 # Required for sentence splitting
@@ -39,8 +49,8 @@ try:
 except ModuleNotFoundError:
     logger.error(
         f"[{params['branding']}]\033[91mWarning\033[0m Could not find the TTS module. Make sure to install the requirements for the {params['branding']} extension."
-        f"[{params['branding']}]\033[91mWarning\033[0m Linux / Mac:\npip install -r extensions/alltalk_tts/requirements.txt\n"
+        f"[{params['branding']}]\033[91mWarning\033[0m Linux / Mac:\npip install -r /alltalk_tts/requirements.txt\n"
-        f"[{params['branding']}]\033[91mWarning\033[0m Windows:\npip install -r extensions\\alltalk_tts\\requirements.txt\n"
+        f"[{params['branding']}]\033[91mWarning\033[0m Windows:\npip install -r \\alltalk_tts\\requirements.txt\n"
         f"[{params['branding']}]\033[91mWarning\033[0m If you used the one-click installer, paste the command above in the terminal window launched after running the cmd_ script. On Windows, that's cmd_windows.bat."
     )
     raise
@@ -48,6 +58,7 @@ except ModuleNotFoundError:
 # IMPORT - Attempt Importing DeepSpeed (required for displaying Deepspeed checkbox in gradio)
 try:
     import deepspeed
+
     deepspeed_installed = True
 except ImportError:
     deepspeed_installed = False
@@ -60,9 +71,12 @@ try:
     from modules.logging_colors import logger
     from modules.ui import create_refresh_button
     from modules.utils import gradio
+
     # This is set to check if the script is being run within text generation webui or as a standalone script. False is running as part of text gen web ui or a gradio interface
     running_in_standalone = False
+    output_folder_wav = params["output_folder_wav"]
 except ModuleNotFoundError:
+    output_folder_wav = params["output_folder_wav_standalone"]
     print(f"[{params['branding']}Startup] Running script.py in standalone mode")
     # This is set to check if the script is being run within text generation webui or as a standalone script. true means standalone
     running_in_standalone = True
@@ -75,11 +89,15 @@ with open(this_dir / "languages.json", encoding="utf8") as f:
     languages = json.load(f)
 # Create a global lock
 process_lock = threading.Lock()
+# Base setting for a possible FineTuned model existing and the loader being available
+tts_method_xtts_ft = False
+
 
 # Gather the voice files
 def get_available_voices():
     return sorted([voice.name for voice in Path(f"{this_dir}/voices").glob("*.wav")])
 
+
 #########################
 #### LICENSE DISPLAY ####
 #########################
@@ -108,7 +126,6 @@ def delete_old_files(folder_path, days_to_keep):
 
 # Extract settings using params dictionary
 delete_output_wavs_setting = params["delete_output_wavs"]
-output_folder_wav = params["output_folder_wav"]
 output_folder_wav = os.path.normpath(output_folder_wav)
 
 # Check and perform file deletion
@@ -142,10 +159,26 @@ def check_required_files():
 # STARTUP Call Check routine
 check_required_files()
 
+##################################################
+#### Check to see if a finetuned model exists ####
+##################################################
+# Set the path to the directory
+trained_model_directory = this_dir / "models" / "trainedmodel"
+# Check if the directory "trainedmodel" exists
+finetuned_model = trained_model_directory.exists()
+# If the directory exists, check for the existence of the required files
+# If true, this will add a extra option in the Gradio interface for loading Xttsv2 FT
+if finetuned_model:
+    required_files = ["model.pth", "config.json", "vocab.json"]
+    finetuned_model = all(
+        (trained_model_directory / file).exists() for file in required_files
+    )
+if finetuned_model:
+    print(f"[{params['branding']}Startup] Finetuned model \033[93mDetected\033[0m")
 
-#################################################
+####################################################
-#### SET GRADIO BUTTONS BASED ON CONFIG.JSON ####
+#### SET GRADIO BUTTONS BASED ON confignew.json ####
-#################################################
+####################################################
 
 if params["tts_method_api_tts"] == True:
     gr_modelchoice = "API TTS"
@@ -157,6 +190,7 @@ elif params["tts_method_xtts_local"] == True:
 # Set the default for Narrated text without asterisk or quotes to be Narrator
 non_quoted_text_is = True
 
+
 ######################
 #### GRADIO STUFF ####
 ######################
@@ -214,18 +248,24 @@ def signal_handler(sig, frame):
 
 # Attach the signal handler to the SIGINT signal (Ctrl+C)
 signal.signal(signal.SIGINT, signal_handler)
-
+# Check if we're running in docker
-# Start the subprocess
+if os.path.isfile("/.dockerenv"):
-process = subprocess.Popen(["python", script_path])
-
-# Check if the subprocess has started successfully
-if process.poll() is None:
-    print(f"[{params['branding']}Startup] TTS Subprocess starting")
     print(
-        f"[{params['branding']}Startup] Readme available here:",
+        f"[{params['branding']}Startup] \033[94mRunning in Docker. Please wait.\033[0m"
-        f"http://{params['ip_address']}:{params['port_number']}",
     )
 else:
+    # Start the subprocess
+    process = subprocess.Popen(["python", script_path])
+    # Check if the subprocess has started successfully
+    if process.poll() is None:
+        print(f"[{params['branding']}Startup] TTS Subprocess starting")
+        print(f"[{params['branding']}Startup]")
+        print(
+            f"[{params['branding']}Startup] \033[94m {params['branding']}Settings & Documentation:\033[00m",
+            f"\033[92mhttp://{params['ip_address']}:{params['port_number']}\033[00m",
+        )
+        print(f"[{params['branding']}Startup]")
+    else:
         print(
             f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess Webserver failing to start process"
         )
@@ -248,12 +288,12 @@ else:
         # Cleanly kill off this script, but allow text-generation-webui to keep running, albeit without this alltalk_tts
         sys.exit(1)
 
-timeout = 60  # Adjust the timeout as needed
+    timeout = startup_wait_time  # Gather timeout setting from startup_wait_time
 
-# Introduce a delay before starting the check loop
+    # Introduce a delay before starting the check loop
-time.sleep(25)  # Wait 25 secs before checking if the tts_server.py has started up.
+    time.sleep(26)  # Wait 26 secs before checking if the tts_server.py has started up.
-start_time = time.time()
+    start_time = time.time()
-while time.time() - start_time < timeout:
+    while time.time() - start_time < timeout:
         try:
             response = requests.get(f"{base_url}/ready")
             if response.status_code == 200:
@@ -261,23 +301,37 @@ while time.time() - start_time < timeout:
         except requests.RequestException as e:
             # Print the exception for debugging purposes
             print(
-            f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess has NOT started up yet, Will keep trying for 60 seconds maximum. Please wait."
+                f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess has NOT started up yet, Will keep trying for {timeout} seconds maximum. Please wait."
             )
-    time.sleep(1)
+        time.sleep(5)
-else:
+    else:
         print(
-        f"[{params['branding']}Startup] Startup timed out. Check the server logs for more information."
+            f"\n[{params['branding']}Startup] Startup timed out. Full help available here \033[92mhttps://github.com/erew123/alltalk_tts#-help-with-problems\033[0m"
+        )
+        print(
+            f"[{params['branding']}Startup] On older system you may wish to open and edit \033[94mscript.py\033[0m with a text editor and changing the"
+        )
+        print(
+            f"[{params['branding']}Startup] \033[94mstartup_wait_time = 120\033[0m setting to something like \033[94mstartup_wait_time = 240\033[0m as this will allow"
+        )
+        print(
+            f"[{params['branding']}Startup] AllTalk more time to try load the model into your VRAM. Otherise please visit the Github for"
+        )
+        print(
+            f"[{params['branding']}Startup] a list of other possible troubleshooting options."
         )
         # Cleanly kill off this script, but allow text-generation-webui to keep running, albeit without this alltalk_tts
         sys.exit(1)
 
+
 #####################################
 #### MODEL LOADING AND UNLOADING ####
 #####################################
 # MODEL - Swap model based on Gradio selection API TTS, API Local, XTTSv2 Local
 def send_reload_request(tts_method):
+    global tts_method_xtts_ft
     try:
-        params["model_loaded"] = False
+        params["tts_model_loaded"] = False
         url = f"{base_url}/api/reload"
         payload = {"tts_method": tts_method}
         response = requests.post(url, params=payload)
@@ -285,8 +339,8 @@ def send_reload_request(tts_method):
         json_response = response.json()
         # Check if the reload operation was successful
         if json_response.get("status") == "model-success":
-            # Update model_loaded to True if the reload was successful
+            # Update tts_tts_model_loaded to True if the reload was successful
-            params["model_loaded"] = True
+            params["tts_model_loaded"] = True
             # Update local script parameters based on the tts_method
             if tts_method == "API TTS":
                 params["tts_method_api_local"] = False
@@ -294,17 +348,26 @@ def send_reload_request(tts_method):
                 params["tts_method_api_tts"] = True
                 params["deepspeed_activate"] = False
                 audio_path = this_dir / "templates" / "apitts.wav"
+                tts_method_xtts_ft = False
             elif tts_method == "API Local":
                 params["tts_method_api_tts"] = False
                 params["tts_method_xtts_local"] = False
                 params["tts_method_api_local"] = True
                 params["deepspeed_activate"] = False
                 audio_path = this_dir / "templates" / "apilocal.wav"
+                tts_method_xtts_ft = False
             elif tts_method == "XTTSv2 Local":
                 params["tts_method_api_tts"] = False
                 params["tts_method_api_local"] = False
                 params["tts_method_xtts_local"] = True
                 audio_path = this_dir / "templates" / "xttslocal.wav"
+                tts_method_xtts_ft = False
+            elif tts_method == "XTTSv2 FT":
+                params["tts_method_api_tts"] = False
+                params["tts_method_api_local"] = False
+                params["tts_method_xtts_local"] = False
+                audio_path = this_dir / "templates" / "xttsfinetuned.wav"
+                tts_method_xtts_ft = True
         return f'<audio src="file/{audio_path}" controls autoplay></audio>'
     except requests.exceptions.RequestException as e:
         # Handle the HTTP request error
@@ -313,13 +376,14 @@ def send_reload_request(tts_method):
         )
         return {"status": "error", "message": str(e)}
 
+
 ##################
 #### LOW VRAM ####
 ##################
 # LOW VRAM - Gradio Checkbox handling
 def send_lowvram_request(low_vram):
     try:
-        params["model_loaded"] = False
+        params["tts_model_loaded"] = False
         if low_vram:
             audio_path = this_dir / "templates" / "lowvramenabled.wav"
         else:
@@ -332,7 +396,7 @@ def send_lowvram_request(low_vram):
         # Check if the low VRAM request was successful
         if json_response.get("status") == "lowvram-success":
             # Update any relevant variables or perform other actions on success
-            params["model_loaded"] = True
+            params["tts_model_loaded"] = True
         return f'<audio src="file/{audio_path}" controls autoplay></audio>'
     except requests.exceptions.RequestException as e:
         # Handle the HTTP request error
@@ -348,7 +412,7 @@ def send_lowvram_request(low_vram):
 # DEEPSPEED - Reload the model when DeepSpeed checkbox is enabled/disabled
 def send_deepspeed_request(deepspeed_param):
     try:
-        params["model_loaded"] = False
+        params["tts_model_loaded"] = False
         if deepspeed_param:
             audio_path = this_dir / "templates" / "deepspeedenabled.wav"
         else:
@@ -362,7 +426,7 @@ def send_deepspeed_request(deepspeed_param):
         # Check if the deepspeed request was successful
         if json_response.get("status") == "deepspeed-success":
             # Update any relevant variables or perform other actions on success
-            params["model_loaded"] = True
+            params["tts_model_loaded"] = True
         return f'<audio src="file/{audio_path}" controls autoplay></audio>'
     except requests.exceptions.RequestException as e:
         # Handle the HTTP request error
@@ -400,7 +464,7 @@ Synthesizer.split_into_sentences = new_split_into_sentences
 # Check model is loaded and string isnt empty, before sending a TTS request.
 def before_audio_generation(string, params):
     # Check Model is loaded into cuda or cpu and error if not
-    if not params["model_loaded"]:
+    if not params["tts_model_loaded"]:
         print(
             f"[{params['branding']}Model] \033[91mWarning\033[0m Model is still loading, please wait before trying to generate TTS"
         )
@@ -427,9 +491,13 @@ def combine(audio_files, output_folder, state):
 
     # Save the combined audio to a file with a specified sample rate
     if "character_menu" in state:
-        output_file_path = os.path.join(output_folder, f'{state["character_menu"]}_{int(time.time())}_combined.wav')
+        output_file_path = os.path.join(
+            output_folder, f'{state["character_menu"]}_{int(time.time())}_combined.wav'
+        )
     else:
-        output_file_path = os.path.join(output_folder, f'TTSOUT_{int(time.time())}_combined.wav')
+        output_file_path = os.path.join(
+            output_folder, f"TTSOUT_{int(time.time())}_combined.wav"
+        )
     sf.write(output_file_path, audio, samplerate=sample_rate)
     # Clean up unnecessary files
     for audio_file in audio_files:
@@ -460,12 +528,19 @@ def voice_preview(string):
     output_file = Path(params["output_folder_wav"]) / "voice_preview.wav"
     # Generate the audio
     language_code = languages.get(params["language"])
+    temperature = params["local_temperature"]
+    repetition_penalty = params["local_repetition_penalty"]
     # Convert the WindowsPath object to a string before using it in JSON payload
     output_file_str = output_file.as_posix()
     # Lock before making the generate request
     with process_lock:
         generate_response = send_generate_request(
-            string, params["voice"], language_code, output_file_str
+            string,
+            params["voice"],
+            language_code,
+            temperature,
+            repetition_penalty,
+            output_file_str,
         )
     # Check if lock is already acquired
     if process_lock.locked():
@@ -482,6 +557,55 @@ def voice_preview(string):
         return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}"
 
 
+def process_text(text):
+    # Normalize HTML encoded quotes
+    text = html.unescape(text)
+
+    # Replace ellipsis with a single dot
+    text = re.sub(r"\.{3,}", ".", text)
+
+    # Pattern to identify combined narrator and character speech
+    combined_pattern = r'(\*[^*"]+\*|"[^"*]+")'
+
+    # List to hold parts of speech along with their type
+    ordered_parts = []
+
+    # Track the start of the next segment
+    start = 0
+
+    # Find all matches
+    for match in re.finditer(combined_pattern, text):
+        # Add the text before the match, if any, as ambiguous
+        if start < match.start():
+            ambiguous_text = text[start : match.start()].strip()
+            if ambiguous_text:
+                ordered_parts.append(("ambiguous", ambiguous_text))
+
+        # Add the matched part as either narrator or character
+        matched_text = match.group(0)
+        if matched_text.startswith("*") and matched_text.endswith("*"):
+            ordered_parts.append(("narrator", matched_text.strip("*").strip()))
+        elif matched_text.startswith('"') and matched_text.endswith('"'):
+            ordered_parts.append(("character", matched_text.strip('"').strip()))
+        else:
+            # In case of mixed or improperly formatted parts
+            if "*" in matched_text:
+                ordered_parts.append(("narrator", matched_text.strip("*").strip('"')))
+            else:
+                ordered_parts.append(("character", matched_text.strip('"').strip("*")))
+
+        # Update the start of the next segment
+        start = match.end()
+
+    # Add any remaining text after the last match as ambiguous
+    if start < len(text):
+        ambiguous_text = text[start:].strip()
+        if ambiguous_text:
+            ordered_parts.append(("ambiguous", ambiguous_text))
+
+    return ordered_parts
+
+
 #################################
 #### TTS STANDARD GENERATION ####
 #################################
@@ -490,104 +614,103 @@ def output_modifier(string, state):
     if not params["activate"]:
         return string
     original_string = string
+    # print("ORIGINAL STRING IS:", original_string)
     cleaned_string = before_audio_generation(string, params)
     if cleaned_string is None:
         return
     string = cleaned_string
     language_code = languages.get(params["language"])
+    temperature = params["local_temperature"]
+    repetition_penalty = params["local_repetition_penalty"]
     # Create a list to store generated audio paths
     audio_files = []
     if process_lock.acquire(blocking=False):
         try:
             if params["narrator_enabled"]:
-                # print(original_string)
+                processed_parts = process_text(original_string)
-                # Do Some basic stripping and remove any double CR's
+
-                processed_string = (
-                    original_string
-                    .replace("***", "*")
-                    .replace("**", "*")
-                    .replace("\n\n", "\n")
-                )
-                # Clean up two asterisks (narrators) being made between a newline, making it one sentence.
-                processed_string = re.sub(r'\.\*\n\*', '. ', processed_string)
-                # Clean up a few other bits.
-                processed_string = (
-                    processed_string
-                    .replace("&#x27;", "'")
-                    .replace("\n", " ")
-                    # Add special characters to the quote so that we can use it to identify things later after its been split
-                    .replace('&quot;', '&quot;<')
-                    # Capture new conversations which wont have things like &quote in them
-                    .replace('"', '&quot;<')
-                )
-                #capturing another outlier in inital character paragraph
-                # print("processed string 1 is:", processed_string)
-                processed_string = processed_string.replace('&quot;<. *', '&quot;< *"')
-                processed_string = processed_string.replace('< *"', '< *')
-                processed_string = processed_string.replace('. *', '< *')
-                # print("processed string 2 is:", processed_string)
-                # Set up a tracking of the individual wav files.
                 audio_files_all_paragraphs = []
-                # Split the line using &quot; and ".* " (so end of sentences, leaving special characters added to the start of all OTHER sentences, bar possibly the first one if its starting with a *
+                for part_type, part in processed_parts:
-                parts = re.split(r'&quot;|\.\*', processed_string)
-                audio_files_paragraph = []
-                for i, part in enumerate(parts):
                     # Skip parts that are too short
-                    if len(part.strip()) <= 1:
+                    if len(part.strip()) <= 3:
                         continue
-                    # Figure out which type of line it is, then replace characters as necessary to avoid TTS trying to pronunce them, htmlunescape after. 
+
-                    # Character will always be a < with a letter immediately after it
+                    # Determine the voice to use based on the part type
-                    if '<' in part and '< *' not in part and '<*' not in part and '<  *' not in part and '< ' not in part and '<  ' not in part:
+                    if part_type == "narrator":
-                        cleaned_part = html.unescape(part.replace('<', ''))
-                        voice_to_use = params["voice"]
-                    #Narrator will always be an * or < with an * a position or two after it.
-                    elif '<*' in part or '< *' in part or '<  *' in part or '*' in part:
-                        cleaned_part = html.unescape(part.replace('<*', '').replace('< *', '').replace('<  *', '').replace('*', ''))
                         voice_to_use = params["narrator_voice"]
-                    #If the other two dont capture it, aka, the AI gave no * or &quot; on the line, use non_quoted_text_is aka user interface, user can choose Char or Narrator
+                        print(
-                    elif non_quoted_text_is:
+                            f"[{params['branding']}TTSGen] \033[92mNarrator\033[0m"
-                        cleaned_part = html.unescape(part.replace('< ', '').replace('<  ', '').replace('<  ', ''))
+                        )  # Green
+                    elif part_type == "character":
                         voice_to_use = params["voice"]
+                        print(
+                            f"[{params['branding']}TTSGen] \033[36mCharacter\033[0m"
+                        )  # Yellow
                     else:
-                        cleaned_part = html.unescape(part.replace('< ', '').replace('<  ', '').replace('<  ', ''))
+                        # Handle ambiguous parts based on user preference
-                        voice_to_use = params["narrator_voice"]
+                        voice_to_use = (
-                    # Check if character name exists and if not, just call it TTSOUT_
+                            params["voice"]
-                    if "character_menu" in state:
+                            if non_quoted_text_is
-                        output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}_{i}.wav')
+                            else params["narrator_voice"]
-                    else:
+                        )
-                        output_file = Path(f'{params["output_folder_wav"]}/TTSOUT_{int(time.time())}_{i}.wav')
+                        voice_description = (
-                    # Generate that TTS and output to a file
+                            "\033[36mCharacter (Text-not-inside)\033[0m"
-                    output_file_str = output_file.as_posix()
+                            if non_quoted_text_is
+                            else "\033[92mNarrator (Text-not-inside)\033[0m"
+                        )
+                        print(f"[{params['branding']}TTSGen] {voice_description}")
+
+                    # Replace multiple exclamation marks, question marks, or other punctuation with a single instance
+                    cleaned_part = re.sub(r"([!?.])\1+", r"\1", part)
+                    # Further clean to remove any other unwanted characters
+                    cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0100-\u017F\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\u4E00-\u9FFF\u3400-\u4DBF\u20000-\u2A6DF\u3000-\u303F\$]', '', cleaned_part)
+                    # Remove all newline characters (single or multiple)
+                    cleaned_part = re.sub(r"\n+", " ", cleaned_part)
+
+                    # Generate TTS and output to a file
+                    output_filename = get_output_filename(state)
                     generate_response = send_generate_request(
-                        cleaned_part, voice_to_use, language_code, output_file_str
+                        cleaned_part,
+                        voice_to_use,
+                        language_code,
+                        temperature,
+                        repetition_penalty,
+                        output_filename,
                     )
                     audio_path = generate_response.get("data", {}).get("audio_path")
-                    audio_files_paragraph.append(audio_path)
+                    audio_files_all_paragraphs.append(audio_path)
-                # Accumulate audio files within the paragraph
+
-                audio_files_all_paragraphs.extend(audio_files_paragraph)
                 # Combine audio files across paragraphs
                 final_output_file = combine(
                     audio_files_all_paragraphs, params["output_folder_wav"], state
                 )
             else:
-                processed_string = (
+                # Decode HTML entities first
-                    original_string
+                cleaned_part = html.unescape(original_string)
-                    .replace("***", "")
+                # Replace multiple instances of certain punctuation marks with a single instance
-                    .replace("**", "")
+                cleaned_part = re.sub(r"([!?.])\1+", r"\1", cleaned_part)
-                    .replace("*", "")
+                # Further clean to remove any other unwanted characters
-                    .replace("\n\n", "\n")
+                cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0100-\u017F\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\u4E00-\u9FFF\u3400-\u4DBF\u20000-\u2A6DF\u3000-\u303F\$]', '', cleaned_part)
-                    .replace("&#x27;", "'")
+                # Remove all newline characters (single or multiple)
-                )
+                cleaned_part = re.sub(r"\n+", " ", cleaned_part)
-                cleaned_part = html.unescape(processed_string)                
                 # Process the part and give it a non-character name if being used vai API or standalone.
                 if "character_menu" in state:
-                    output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav')
+                    output_file = Path(
+                        f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}.wav'
+                    )
                 else:
-                    output_file = Path(f'{params["output_folder_wav"]}/TTSOUT_{int(time.time())}.wav')
+                    output_file = Path(
+                        f'{params["output_folder_wav"]}/TTSOUT_{int(time.time())}.wav'
+                    )
                 output_file_str = output_file.as_posix()
                 output_file = get_output_filename(state)
                 generate_response = send_generate_request(
-                    cleaned_part, params["voice"], language_code, output_file_str
+                    cleaned_part,
+                    params["voice"],
+                    language_code,
+                    temperature,
+                    repetition_penalty,
+                    output_file_str,
                 )
                 audio_path = generate_response.get("data", {}).get("audio_path")
                 final_output_file = audio_path
@@ -627,20 +750,29 @@ def output_modifier(string, state):
 
 
 def get_output_filename(state):
+    if "character_menu" in state:
         return Path(
             f'{params["output_folder_wav"]}/{state["character_menu"]}_{str(uuid.uuid4())[:8]}.wav'
         ).as_posix()
+    else:
+        return Path(
+            f'{params["output_folder_wav"]}/TTSOUT_{str(uuid.uuid4())[:8]}.wav'
+        ).as_posix()
 
 
 ###############################################
 #### SEND GENERATION REQUEST TO TTS ENGINE ####
 ###############################################
-def send_generate_request(text, voice, language, output_file):
+def send_generate_request(
+    text, voice, language, temperature, repetition_penalty, output_file
+):
     url = f"{base_url}/api/generate"
     payload = {
         "text": text,
         "voice": voice,
         "language": language,
+        "temperature": temperature,
+        "repetition_penalty": repetition_penalty,
         "output_file": output_file,
     }
     headers = {"Content-Type": "application/json"}
@@ -665,12 +797,14 @@ def state_modifier(state):
     state["stream"] = False
     return state
 
+
 def update_narrator_enabled(value):
     if value == "Enabled":
         params["narrator_enabled"] = True
     elif value == "Disabled":
         params["narrator_enabled"] = False
 
+
 def update_non_quoted_text_is(value):
     global non_quoted_text_is
     if value == "Narrator":
@@ -678,6 +812,7 @@ def update_non_quoted_text_is(value):
     elif value == "Char":
         non_quoted_text_is = True
 
+
 def input_modifier(string, state):
     if not params["activate"]:
         return string
@@ -685,42 +820,56 @@ def input_modifier(string, state):
     shared.processing_message = "*Is recording a voice message...*"
     return string
 
-def custom_css():
-    path_to_css = Path(f"{this_dir}/style.css")
-    return open(path_to_css, "r").read()
-
 
 def ui():
     with gr.Accordion(params["branding"] + " TTS (XTTSv2)"):
+        # Activate alltalk_tts, Enable autoplay, Show text
         with gr.Row():
-            activate = gr.Checkbox(value=params["activate"], label="Activate TTS")
+            activate = gr.Checkbox(value=params["activate"], label="Enable TTS")
-            autoplay = gr.Checkbox(
+            autoplay = gr.Checkbox(value=params["autoplay"], label="Autoplay TTS")
-                value=params["autoplay"], label="Play TTS automatically"
+            show_text = gr.Checkbox(value=params["show_text"], label="Show Text")
-            )
 
+        # Low vram enable, Deepspeed enable, Remove trailing dots
         with gr.Row():
-            show_text = gr.Checkbox(
+            low_vram = gr.Checkbox(
-                value=params["show_text"], label="Show message text under audio player"
+                value=params["low_vram"], label="Enable Low VRAM Mode"
             )
+            low_vram_play = gr.HTML(visible=False)
+            deepspeed_checkbox = gr.Checkbox(
+                value=params["deepspeed_activate"],
+                label="Enable DeepSpeed",
+                visible=deepspeed_installed,
+            )
+            deepspeed_checkbox_play = gr.HTML(visible=False)
             remove_trailing_dots = gr.Checkbox(
-                value=params["remove_trailing_dots"],
+                value=params["remove_trailing_dots"], label='Remove trailing "."'
-                label='Remove trailing "." from text segments before generation',
             )
 
+        # TTS method, Character voice selection
         with gr.Row():
+            model_loader_choices = ["API TTS", "API Local", "XTTSv2 Local"]
+            if finetuned_model:
+                model_loader_choices.append("XTTSv2 FT")
+            tts_radio_buttons = gr.Radio(
+                choices=model_loader_choices,
+                label="TTS Method (Each method sounds slightly different)",
+                value=gr_modelchoice,  # Set the default value
+            )
+            tts_radio_buttons_play = gr.HTML(visible=False)
             with gr.Row():
                 available_voices = get_available_voices()
-                default_voice = params["voice"]
+                default_voice = params[
-                # Check if the default voice is in the list of available voices
+                    "voice"
+                ]  # Check if the default voice is in the list of available voices
+
                 if default_voice not in available_voices:
-                    # Handle the case where the default voice is not in the list (choose a default value or update it)
                     default_voice = available_voices[
                         0
                     ]  # Choose the first available voice as the default
                 # Add allow_custom_value=True to the Dropdown
                 voice = gr.Dropdown(
                     available_voices,
-                    label="Default Voice",
+                    label="Character Voice",
                     value=default_voice,
                     allow_custom_value=True,
                 )
@@ -734,14 +883,11 @@ def ui():
                     "refresh-button",
                 )
 
-            language = gr.Dropdown(
+        # Language, Narrator voice
-                languages.keys(),
-                label="Language",
-                allow_custom_value=True,
-                value=params["language"],
-            )
-
         with gr.Row():
+            language = gr.Dropdown(
+                languages.keys(), label="Language", value=params["language"]
+            )
             with gr.Row():
                 narrator_voice_gr = gr.Dropdown(
                     get_available_voices(),
@@ -758,40 +904,42 @@ def ui():
                     },
                     "refresh-button",
                 )
+
+        # Temperature, Repetition Penalty
+        with gr.Row():
+            local_temperature_gr = gr.Slider(
+                minimum=0.05,
+                maximum=1,
+                step=0.05,
+                label="Temperature",
+                value=params["local_temperature"],
+            )
+            local_repetition_penalty_gr = gr.Slider(
+                minimum=0.5,
+                maximum=20,
+                step=0.5,
+                label="Repetition Penalty",
+                value=params["local_repetition_penalty"],
+            )
+
+        # Narrator enable, Non quoted text, Explanation text
+        with gr.Row():
+            with gr.Row():
                 narrator_enabled_gr = gr.Radio(
                     choices={"Enabled": "true", "Disabled": "false"},
-                    label="Narrator Activation",
+                    label="Narrator",
                     value="Enabled" if params.get("narrator_enabled") else "Disabled",
                 )
                 non_quoted_text_is_gr = gr.Radio(
-                    choices={"Char": "true", "Narrator": "false"},
+                    choices={"Character": "true", "Narrator": "false"},
-                    label='Text NOT inside of * or " is',
+                    label='Unmarked text NOT inside of * or " is',
-                    value="Char" if non_quoted_text_is else "Narrator",
+                    value="Character" if non_quoted_text_is else "Narrator",
                 )
-
-        with gr.Row():
-            low_vram = gr.Checkbox(
-                value=params["low_vram"], label="Low VRAM mode (Read NOTE)"
-            )
-            low_vram_play = gr.HTML(visible=False)
-            deepspeed_checkbox = gr.Checkbox(
-                value=params["deepspeed_activate"],
-                label="Activate DeepSpeed (Read NOTE)",
-                visible=deepspeed_installed,
-            )
-            deepspeed_checkbox_play = gr.HTML(visible=False)
-
-        with gr.Row():
-            tts_radio_buttons = gr.Radio(
-                choices=["API TTS", "API Local", "XTTSv2 Local"],
-                label="Select TTS Generation Method (Read NOTE)",
-                value=gr_modelchoice,  # Set the default value
-            )
-            tts_radio_buttons_play = gr.HTML(visible=False)
                 explanation_text = gr.HTML(
-                f"<p>NOTE: Switching Model Type, Low VRAM & DeepSpeed takes 15 seconds. Each TTS generation method has a slightly different sound. DeepSpeed checkbox is only visible if DeepSpeed is present. Readme & Settings: <a href='http://{params['ip_address']}:{params['port_number']}'>http://{params['ip_address']}:{params['port_number']}</a>"
+                    f"<p>⚙️ <a href='http://{params['ip_address']}:{params['port_number']}'>Settings and Documentation Page</a><a href='http://{params['ip_address']}:{params['port_number']}'></a>⚙️<br>- Low VRAM Mode and Deepspeed take 15 seconds to be enabled or disabled.<br>- The DeepSpeed checkbox is only visible if DeepSpeed is present.</p>"
                 )
 
+        # Preview speech
         with gr.Row():
             preview_text = gr.Text(
                 show_label=False,
@@ -861,18 +1009,34 @@ def ui():
     autoplay.change(lambda x: params.update({"autoplay": x}), autoplay, None)
     low_vram.change(lambda x: params.update({"low_vram": x}), low_vram, None)
     low_vram.change(lambda x: send_lowvram_request(x), low_vram, low_vram_play, None)
-    tts_radio_buttons.change(send_reload_request, tts_radio_buttons, tts_radio_buttons_play, None)
+    tts_radio_buttons.change(
-    deepspeed_checkbox.change(send_deepspeed_request, deepspeed_checkbox, deepspeed_checkbox_play, None)
+        send_reload_request, tts_radio_buttons, tts_radio_buttons_play, None
+    )
+    deepspeed_checkbox.change(
+        send_deepspeed_request, deepspeed_checkbox, deepspeed_checkbox_play, None
+    )
     remove_trailing_dots.change(
         lambda x: params.update({"remove_trailing_dots": x}), remove_trailing_dots, None
     )
     voice.change(lambda x: params.update({"voice": x}), voice, None)
     language.change(lambda x: params.update({"language": x}), language, None)
 
+    # TSS Settings
+    local_temperature_gr.change(
+        lambda x: params.update({"local_temperature": x}), local_temperature_gr, None
+    )
+    local_repetition_penalty_gr.change(
+        lambda x: params.update({"local_repetition_penalty": x}),
+        local_repetition_penalty_gr,
+        None,
+    )
+
     # Narrator selection actions
     narrator_enabled_gr.change(update_narrator_enabled, narrator_enabled_gr, None)
     non_quoted_text_is_gr.change(update_non_quoted_text_is, non_quoted_text_is_gr, None)
-    narrator_voice_gr.change(lambda x: params.update({"narrator_voice": x}), narrator_voice_gr, None)
+    narrator_voice_gr.change(
+        lambda x: params.update({"narrator_voice": x}), narrator_voice_gr, None
+    )
 
     # Play preview
     preview_text.submit(voice_preview, preview_text, preview_audio)

style.css

@@ -1,8 +0,0 @@
-.SDAP .hires_opts input[type="number"] {
-    width: 6em !important;
-}
-
-/* silero_tts preview */
-.form:has(> #silero_preview_text) {
-    min-width: 75%
-}

templates/STfiles/alltalk.js

@@ -0,0 +1,833 @@
+import { doExtrasFetch, getApiUrl, modules } from '../../extensions.js';
+import { saveTtsProviderSettings } from './index.js';
+
+export { AllTalkTtsProvider };
+
+class AllTalkTtsProvider {
+    //########//
+    // Config //
+    //########//
+
+    settings = {};
+    constructor() {
+        // Initialize with default settings if they are not already set
+        this.settings = {
+            provider_endpoint: this.settings.provider_endpoint || 'http://localhost:7851',
+            language: this.settings.language || 'en',
+            voiceMap: this.settings.voiceMap || {},
+            at_generation_method: this.settings.at_generation_method || 'standard_generation',
+            narrator_enabled: this.settings.narrator_enabled || 'false',
+            at_narrator_text_not_inside: this.settings.at_narrator_text_not_inside || 'narrator',
+            narrator_voice_gen: this.settings.narrator_voice_gen || 'female_01.wav',
+            finetuned_model: this.settings.finetuned_model || 'false'
+        };
+        // Separate property for dynamically updated settings from the server
+        this.dynamicSettings = {
+            modelsAvailable: [],
+            currentModel: '',
+            deepspeed_available: false,
+            deepSpeedEnabled: false,
+            lowVramEnabled: false,
+        };
+    }
+    ready = false;
+    voices = [];
+    separator = '. ';
+    audioElement = document.createElement('audio');
+
+    languageLabels = {
+        'Arabic': 'ar',
+        'Brazilian Portuguese': 'pt',
+        'Chinese': 'zh-cn',
+        'Czech': 'cs',
+        'Dutch': 'nl',
+        'English': 'en',
+        'French': 'fr',
+        'German': 'de',
+        'Italian': 'it',
+        'Polish': 'pl',
+        'Russian': 'ru',
+        'Spanish': 'es',
+        'Turkish': 'tr',
+        'Japanese': 'ja',
+        'Korean': 'ko',
+        'Hungarian': 'hu',
+        'Hindi': 'hi',
+    };
+
+    get settingsHtml() {
+        let html = `<div class="at-settings-separator">AllTalk Settings</div>`;
+
+        html += `<div class="at-settings-row">
+
+        <div class="at-settings-option">
+            <label for="at_generation_method">AllTalk TTS Generation Method</label>
+                <select id="at_generation_method">
+                <option value="standard_generation">Standard Audio Generation (AT Narrator - Optional)</option>
+                <option value="streaming_enabled">Streaming Audio Generation (AT Narrator - Disabled)</option>
+        </select>
+        </div>
+        </div>`;
+
+        html += `<div class="at-settings-row">
+
+        <div class="at-settings-option">
+            <label for="at_narrator_enabled">AT Narrator</label>
+                <select id="at_narrator_enabled">
+                <option value="true">Enabled</option>
+                <option value="false">Disabled</option>
+        </select>
+        </div>
+
+        <div class="at-settings-option">
+            <label for="at_narrator_text_not_inside">Text Not Inside * or " is</label>
+                <select id="at_narrator_text_not_inside">
+                <option value="narrator">Narrator</option>
+                <option value="character">Character</option>
+        </select>
+        </div>
+
+    </div>`;
+
+        html += `<div class="at-settings-row">
+        <div class="at-settings-option">
+            <label for="narrator_voice">Narrator Voice</label>
+            <select id="narrator_voice">`;
+        if (this.voices) {
+            for (let voice of this.voices) {
+                html += `<option value="${voice.voice_id}">${voice.name}</option>`;
+            }
+        }
+        html += `</select>
+        </div>
+        <div class="at-settings-option">
+            <label for="language_options">Language</label>
+            <select id="language_options">`;
+        for (let language in this.languageLabels) {
+            html += `<option value="${this.languageLabels[language]}" ${this.languageLabels[language] === this.settings?.language ? 'selected="selected"' : ''}>${language}</option>`;
+        }
+        html += `</select>
+        </div>
+    </div>`;
+
+
+        html += `<div class="at-model-endpoint-row">
+    <div class="at-model-option">
+            <label for="switch_model">Switch Model</label>
+            <select id="switch_model">
+            <option value="api_tts">API TTS</option>
+            <option value="api_local">API Local</option>
+            <option value="xttsv2_local">XTTSv2 Local</option>
+        </select>
+        </div>
+
+        <div class="at-endpoint-option">
+            <label for="at_server">AllTalk Endpoint:</label>
+            <input id="at_server" type="text" class="text_pole" maxlength="80" value="${this.settings.provider_endpoint}"/>
+        </div>
+   </div>`;
+
+
+        html += `<div class="at-model-endpoint-row">
+    <div class="at-settings-option">
+        <label for="low_vram">Low VRAM</label>
+        <input id="low_vram" type="checkbox"/>
+    </div>
+    <div class="at-settings-option">
+        <label for="deepspeed">DeepSpeed</label>
+        <input id="deepspeed" type="checkbox"/>
+    </div>
+    <div class="at-settings-option status-option">
+        <span>Status: <span id="status_info">Ready</span></span>
+    </div>
+    <div class="at-settings-option empty-option">
+        <!-- This div remains empty for spacing -->
+    </div>
+</div>`;
+
+
+        html += `<div class="at-website-row">
+        <div class="at-website-option">
+        <span>AllTalk <a target="_blank" href="${this.settings.provider_endpoint}">Config & Docs</a>.</span>
+    </div>
+
+    <div class="at-website-option">
+        <span>AllTalk <a target="_blank" href="https://github.com/erew123/alltalk_tts/">Website</a>.</span>
+    </div>
+</div>`;
+
+        html += `<div class="at-website-row">
+<div class="at-website-option">
+<span><strong>Text-generation-webui</strong> users - Uncheck <strong>Enable TTS</strong> in Text-generation-webui.</span>
+</div>
+</div>`;
+
+        return html;
+    }
+
+
+    //#################//
+    // Startup ST & AT //
+    //#################//
+
+    async loadSettings(settings) {
+        updateStatus('Offline');
+
+        if (Object.keys(settings).length === 0) {
+            console.info('Using default AllTalk TTS Provider settings');
+        } else {
+            // Populate settings with provided values, ignoring server-provided settings
+            for (const key in settings) {
+                if (key in this.settings) {
+                    this.settings[key] = settings[key];
+                } else {
+                    console.debug(`Ignoring non-user-configurable setting: ${key}`);
+                }
+            }
+        }
+
+        // Update UI elements to reflect the loaded settings
+        $('#at_server').val(this.settings.provider_endpoint);
+        $('#language_options').val(this.settings.language);
+        //$('#voicemap').val(this.settings.voiceMap);
+        $('#at_generation_method').val(this.settings.at_generation_method);
+        $('#at_narrator_enabled').val(this.settings.narrator_enabled);
+        $('#at_narrator_text_not_inside').val(this.settings.at_narrator_text_not_inside);
+        $('#narrator_voice').val(this.settings.narrator_voice_gen);
+
+        console.debug('AllTalkTTS: Settings loaded');
+        try {
+            // Check if TTS provider is ready
+            await this.checkReady();
+            await this.updateSettingsFromServer(); // Fetch dynamic settings from the TTS server
+            await this.fetchTtsVoiceObjects(); // Fetch voices only if service is ready
+            this.updateNarratorVoicesDropdown();
+            this.updateLanguageDropdown();
+            this.setupEventListeners();
+            this.applySettingsToHTML();
+            updateStatus('Ready');
+        } catch (error) {
+            console.error("Error loading settings:", error);
+            updateStatus('Offline');
+        }
+    }
+
+    applySettingsToHTML() {
+        // Apply loaded settings or use defaults
+        const narratorVoiceSelect = document.getElementById('narrator_voice');
+        const atNarratorSelect = document.getElementById('at_narrator_enabled');
+        const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
+        const generationMethodSelect = document.getElementById('at_generation_method');
+        this.settings.narrator_voice = this.settings.narrator_voice_gen;
+        // Apply settings to Narrator Voice dropdown
+        if (narratorVoiceSelect && this.settings.narrator_voice) {
+            narratorVoiceSelect.value = this.settings.narrator_voice.replace('.wav', '');
+        }
+        // Apply settings to AT Narrator Enabled dropdown
+        if (atNarratorSelect) {
+            // Sync the state with the checkbox in index.js
+            const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
+            const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
+            const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
+            // Sync the state with the checkbox in index.js
+            if (this.settings.narrator_enabled) {
+                ttsPassAsterisksCheckbox.checked = false;
+                $('#tts_pass_asterisks').click(); // Simulate a click event
+                $('#tts_pass_asterisks').trigger('change');
+            }
+            if (!this.settings.narrator_enabled) {
+                ttsPassAsterisksCheckbox.checked = true;
+                $('#tts_pass_asterisks').click(); // Simulate a click event
+                $('#tts_pass_asterisks').trigger('change');
+            }
+            // Uncheck and set tts_narrate_quoted to false if narrator is enabled
+            if (this.settings.narrator_enabledd) {
+                ttsNarrateQuotedCheckbox.checked = true;
+                ttsNarrateDialoguesCheckbox.checked = true;
+                // Trigger click events instead of change events
+                $('#tts_narrate_quoted').click();
+                $('#tts_narrate_quoted').trigger('change');
+                $('#tts_narrate_dialogues').click();
+                $('#tts_narrate_dialogues').trigger('change');
+            }
+            atNarratorSelect.value = this.settings.narrator_enabled.toString();
+            this.settings.narrator_enabled = this.settings.narrator_enabled.toString();
+        }
+        // Apply settings to the Language dropdown
+        const languageSelect = document.getElementById('language_options');
+        if (languageSelect && this.settings.language) {
+            languageSelect.value = this.settings.language;
+        }
+        // Apply settings to Text Not Inside dropdown
+        if (textNotInsideSelect && this.settings.text_not_inside) {
+            textNotInsideSelect.value = this.settings.text_not_inside;
+            this.settings.at_narrator_text_not_inside = this.settings.text_not_inside;
+        }
+        // Apply settings to Generation Method dropdown
+        if (generationMethodSelect && this.settings.at_generation_method) {
+            generationMethodSelect.value = this.settings.at_generation_method;
+        }
+        // Additional logic to disable/enable dropdowns based on the selected generation method
+        const isStreamingEnabled = this.settings.at_generation_method === 'streaming_enabled';
+        if (isStreamingEnabled) {
+            // Disable certain dropdowns when streaming is enabled
+            if (atNarratorSelect) atNarratorSelect.disabled = true;
+            if (textNotInsideSelect) textNotInsideSelect.disabled = true;
+            if (narratorVoiceSelect) narratorVoiceSelect.disabled = true;
+        } else {
+            // Enable dropdowns for standard generation
+            if (atNarratorSelect) atNarratorSelect.disabled = false;
+            if (textNotInsideSelect) textNotInsideSelect.disabled = !this.settings.narrator_enabled;
+            if (narratorVoiceSelect) narratorVoiceSelect.disabled = !this.settings.narrator_enabled;
+        }
+        const modelSelect = document.getElementById('switch_model');
+        if (this.settings.finetuned_model === 'true') {
+            const ftOption = document.createElement('option');
+            ftOption.value = 'XTTSv2 FT';
+            ftOption.textContent = 'XTTSv2 FT';
+            modelSelect.appendChild(ftOption);
+        }
+    }
+
+    //##############################//
+    // Check AT Server is Available //
+    //##############################//
+
+    async checkReady() {
+        try {
+            const response = await fetch(`${this.settings.provider_endpoint}/api/ready`);
+            // Check if the HTTP request was successful
+            if (!response.ok) {
+                throw new Error(`HTTP Error Response: ${response.status} ${response.statusText}`);
+            }
+            const statusText = await response.text();
+            // Check if the response is 'Ready'
+            if (statusText === 'Ready') {
+                this.ready = true; // Set the ready flag to true
+                console.log('TTS service is ready.');
+            } else {
+                this.ready = false;
+                console.log('TTS service is not ready.');
+            }
+        } catch (error) {
+            console.error('Error checking TTS service readiness:', error);
+            this.ready = false; // Ensure ready flag is set to false in case of error
+        }
+    }
+
+    //######################//
+    // Get Available Voices //
+    //######################//
+
+    async fetchTtsVoiceObjects() {
+        const response = await fetch(`${this.settings.provider_endpoint}/api/voices`);
+        if (!response.ok) {
+            const errorText = await response.text();
+            throw new Error(`HTTP ${response.status}: ${errorText}`);
+        }
+        const data = await response.json();
+        const voices = data.voices.map(filename => {
+            const voiceName = filename.replace('.wav', '');
+            return {
+                name: voiceName,
+                voice_id: voiceName,
+                preview_url: null, // Preview URL will be dynamically generated
+                lang: 'en' // Default language
+            };
+        });
+        this.voices = voices; // Assign to the class property
+        return voices; // Also return this list
+    }
+
+    //##########################################//
+    // Get Current AT Server Config & Update ST //
+    //##########################################//
+
+    async updateSettingsFromServer() {
+        try {
+            // Fetch current settings
+            const response = await fetch(`${this.settings.provider_endpoint}/api/currentsettings`);
+            if (!response.ok) {
+                throw new Error(`Failed to fetch current settings: ${response.statusText}`);
+            }
+            const currentSettings = await response.json();
+            // Update internal settings
+            this.settings.modelsAvailable = currentSettings.models_available;
+            this.settings.currentModel = currentSettings.current_model_loaded;
+            this.settings.deepspeed_available = currentSettings.deepspeed_available;
+            this.settings.deepSpeedEnabled = currentSettings.deepspeed_status;
+            this.settings.lowVramEnabled = currentSettings.low_vram_status;
+            this.settings.finetuned_model = currentSettings.finetuned_model
+            // Update HTML elements
+            this.updateModelDropdown();
+            this.updateCheckboxes();
+        } catch (error) {
+            console.error(`Error updating settings from server: ${error}`);
+        }
+    }
+
+    //###################################################//
+    // Get Current AT Server Config & Update ST (Models) //
+    //###################################################//
+
+    updateModelDropdown() {
+        const modelSelect = document.getElementById('switch_model');
+        if (modelSelect) {
+            modelSelect.innerHTML = ''; // Clear existing options
+            this.settings.modelsAvailable.forEach(model => {
+                const option = document.createElement('option');
+                option.value = model.model_name;
+                option.textContent = model.model_name; // Use model_name instead of name
+                option.selected = model.model_name === this.settings.currentModel;
+                modelSelect.appendChild(option);
+            });
+        }
+    }
+
+    //#######################################################//
+    // Get Current AT Server Config & Update ST (DS and LVR) //
+    //#######################################################//
+
+    updateCheckboxes() {
+        const deepspeedCheckbox = document.getElementById('deepspeed');
+        const lowVramCheckbox = document.getElementById('low_vram');
+        if (lowVramCheckbox) lowVramCheckbox.checked = this.settings.lowVramEnabled;
+        if (deepspeedCheckbox) {
+            deepspeedCheckbox.checked = this.settings.deepSpeedEnabled;
+            deepspeedCheckbox.disabled = !this.settings.deepspeed_available; // Disable checkbox if deepspeed is not available
+        }
+    }
+
+    //###############################################################//
+    // Get Current AT Server Config & Update ST (AT Narrator Voices) //
+    //###############################################################//
+
+    updateNarratorVoicesDropdown() {
+        const narratorVoiceSelect = document.getElementById('narrator_voice');
+        if (narratorVoiceSelect && this.voices) {
+            // Clear existing options
+            narratorVoiceSelect.innerHTML = '';
+            // Add new options
+            for (let voice of this.voices) {
+                const option = document.createElement('option');
+                option.value = voice.voice_id;
+                option.textContent = voice.name;
+                narratorVoiceSelect.appendChild(option);
+            }
+        }
+    }
+
+    //######################################################//
+    // Get Current AT Server Config & Update ST (Languages) //
+    //######################################################//
+
+    updateLanguageDropdown() {
+        const languageSelect = document.getElementById('language_options');
+        if (languageSelect) {
+            // Ensure default language is set
+            this.settings.language = this.settings.language;
+
+            languageSelect.innerHTML = '';
+            for (let language in this.languageLabels) {
+                const option = document.createElement('option');
+                option.value = this.languageLabels[language];
+                option.textContent = language;
+                if (this.languageLabels[language] === this.settings.language) {
+                    option.selected = true;
+                }
+                languageSelect.appendChild(option);
+            }
+        }
+    }
+
+    //########################################//
+    // Start AT TTS extenstion page listeners //
+    //########################################//
+
+    setupEventListeners() {
+
+        let debounceTimeout;
+        const debounceDelay = 500; // Milliseconds
+
+        // Define the event handler function
+        const onModelSelectChange = async (event) => {
+            console.log("Model select change event triggered"); // Debugging statement
+            const selectedModel = event.target.value;
+            console.log(`Selected model: ${selectedModel}`); // Debugging statement 
+            // Set status to Processing
+            updateStatus('Processing');
+            try {
+                const response = await fetch(`${this.settings.provider_endpoint}/api/reload?tts_method=${encodeURIComponent(selectedModel)}`, {
+                    method: 'POST'
+                });
+                if (!response.ok) {
+                    throw new Error(`HTTP Error: ${response.status}`);
+                }
+                const data = await response.json();
+                console.log("POST response data:", data); // Debugging statement 
+                // Set status to Ready if successful
+                updateStatus('Ready');
+            } catch (error) {
+                console.error("POST request error:", error); // Debugging statement
+                // Set status to Error in case of failure
+                updateStatus('Error');
+            }
+
+            // Handle response or error
+        };
+
+        const debouncedModelSelectChange = (event) => {
+            clearTimeout(debounceTimeout);
+            debounceTimeout = setTimeout(() => {
+                onModelSelectChange(event);
+            }, debounceDelay);
+        };
+
+        // Switch Model Listener
+        const modelSelect = document.getElementById('switch_model');
+        if (modelSelect) {
+            // Remove the event listener if it was previously added
+            modelSelect.removeEventListener('change', debouncedModelSelectChange);
+            // Add the debounced event listener
+            modelSelect.addEventListener('change', debouncedModelSelectChange);
+        }
+
+        // DeepSpeed Listener
+        const deepspeedCheckbox = document.getElementById('deepspeed');
+        if (deepspeedCheckbox) {
+            deepspeedCheckbox.addEventListener('change', async (event) => {
+                const deepSpeedValue = event.target.checked ? 'True' : 'False';
+                // Set status to Processing
+                updateStatus('Processing');
+                try {
+                    const response = await fetch(`${this.settings.provider_endpoint}/api/deepspeed?new_deepspeed_value=${deepSpeedValue}`, {
+                        method: 'POST'
+                    });
+                    if (!response.ok) {
+                        throw new Error(`HTTP Error: ${response.status}`);
+                    }
+                    const data = await response.json();
+                    console.log("POST response data:", data); // Debugging statement
+                    // Set status to Ready if successful
+                    updateStatus('Ready');
+                } catch (error) {
+                    console.error("POST request error:", error); // Debugging statement
+                    // Set status to Error in case of failure
+                    updateStatus('Error');
+                }
+            });
+        }
+
+        // Low VRAM Listener
+        const lowVramCheckbox = document.getElementById('low_vram');
+        if (lowVramCheckbox) {
+            lowVramCheckbox.addEventListener('change', async (event) => {
+                const lowVramValue = event.target.checked ? 'True' : 'False';
+                // Set status to Processing
+                updateStatus('Processing');
+                try {
+                    const response = await fetch(`${this.settings.provider_endpoint}/api/lowvramsetting?new_low_vram_value=${lowVramValue}`, {
+                        method: 'POST'
+                    });
+                    if (!response.ok) {
+                        throw new Error(`HTTP Error: ${response.status}`);
+                    }
+                    const data = await response.json();
+                    console.log("POST response data:", data); // Debugging statement
+                    // Set status to Ready if successful
+                    updateStatus('Ready');
+                } catch (error) {
+                    console.error("POST request error:", error); // Debugging statement
+                    // Set status to Error in case of failure
+                    updateStatus('Error');
+                }
+            });
+        }
+
+        // Narrator Voice Dropdown Listener
+        const narratorVoiceSelect = document.getElementById('narrator_voice');
+        if (narratorVoiceSelect) {
+            narratorVoiceSelect.addEventListener('change', (event) => {
+                this.settings.narrator_voice_gen = `${event.target.value}.wav`;
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+        const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
+        if (textNotInsideSelect) {
+            textNotInsideSelect.addEventListener('change', (event) => {
+                this.settings.text_not_inside = event.target.value;
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+        // AT Narrator Dropdown Listener
+        const atNarratorSelect = document.getElementById('at_narrator_enabled');
+        const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
+        const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
+        const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
+
+        if (atNarratorSelect && textNotInsideSelect && narratorVoiceSelect) {
+            atNarratorSelect.addEventListener('change', (event) => {
+                const isNarratorEnabled = event.target.value === 'true';
+                this.settings.narrator_enabled = isNarratorEnabled; // Update the setting here
+                textNotInsideSelect.disabled = !isNarratorEnabled;
+                narratorVoiceSelect.disabled = !isNarratorEnabled;
+
+                // Sync the state with the checkbox in index.js
+                if (isNarratorEnabled) {
+                    ttsPassAsterisksCheckbox.checked = false;
+                    $('#tts_pass_asterisks').click(); // Simulate a click event
+                    $('#tts_pass_asterisks').trigger('change');
+                }
+                if (!isNarratorEnabled) {
+                    ttsPassAsterisksCheckbox.checked = true;
+                    $('#tts_pass_asterisks').click(); // Simulate a click event
+                    $('#tts_pass_asterisks').trigger('change');
+                }
+                // Uncheck and set tts_narrate_quoted to false if narrator is enabled
+                if (isNarratorEnabled) {
+                    ttsNarrateQuotedCheckbox.checked = true;
+                    ttsNarrateDialoguesCheckbox.checked = true;
+                    // Trigger click events instead of change events
+                    $('#tts_narrate_quoted').click();
+                    $('#tts_narrate_quoted').trigger('change');
+                    $('#tts_narrate_dialogues').click();
+                    $('#tts_narrate_dialogues').trigger('change');
+                }
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+
+        // Event Listener for AT Generation Method Dropdown
+        const atGenerationMethodSelect = document.getElementById('at_generation_method');
+        const atNarratorEnabledSelect = document.getElementById('at_narrator_enabled');
+        if (atGenerationMethodSelect) {
+            atGenerationMethodSelect.addEventListener('change', (event) => {
+                const selectedMethod = event.target.value;
+
+                if (selectedMethod === 'streaming_enabled') {
+                    // Disable and unselect AT Narrator
+                    atNarratorEnabledSelect.disabled = true;
+                    atNarratorEnabledSelect.value = 'false';
+                    textNotInsideSelect.disabled = true;
+                    narratorVoiceSelect.disabled = true;
+                } else if (selectedMethod === 'standard_generation') {
+                    // Enable AT Narrator
+                    atNarratorEnabledSelect.disabled = false;
+                }
+                this.settings.at_generation_method = selectedMethod; // Update the setting here
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+        // Listener for Language Dropdown
+        const languageSelect = document.getElementById('language_options');
+        if (languageSelect) {
+            languageSelect.addEventListener('change', (event) => {
+                this.settings.language = event.target.value;
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+        // Listener for AllTalk Endpoint Input
+        const atServerInput = document.getElementById('at_server');
+        if (atServerInput) {
+            atServerInput.addEventListener('input', (event) => {
+                this.settings.provider_endpoint = event.target.value;
+                this.onSettingsChange(); // Save the settings after change
+            });
+        }
+
+    }
+
+    //#############################//
+    // Store ST interface settings //
+    //#############################//
+
+    onSettingsChange() {
+        // Update settings based on the UI elements
+        //this.settings.provider_endpoint = $('#at_server').val();
+        this.settings.language = $('#language_options').val();
+        //this.settings.voiceMap = $('#voicemap').val();
+        this.settings.at_generation_method = $('#at_generation_method').val();
+        this.settings.narrator_enabled = $('#at_narrator_enabled').val();
+        this.settings.at_narrator_text_not_inside = $('#at_narrator_text_not_inside').val();
+        this.settings.narrator_voice_gen = $('#narrator_voice').val();
+        // Save the updated settings
+        saveTtsProviderSettings();
+    }
+
+    //#########################//
+    // ST Handle Reload button //
+    //#########################//
+
+    async onRefreshClick() {
+        await this.checkReady(); // Check if the TTS provider is ready
+        await this.loadSettings(this.settings); // Reload the settings
+        // Additional actions as needed
+    }
+
+    //##################//
+    // Preview AT Voice //
+    //##################//
+
+    async previewTtsVoice(voiceName) {
+        try {
+            // Prepare data for POST request
+            const postData = new URLSearchParams();
+            postData.append("voice", `${voiceName}.wav`);
+            // Making the POST request
+            const response = await fetch(`${this.settings.provider_endpoint}/api/previewvoice/`, {
+                method: "POST",
+                headers: {
+                    'Content-Type': 'application/x-www-form-urlencoded'
+                },
+                body: postData,
+            });
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`[previewTtsVoice] Error Response Text:`, errorText);
+                throw new Error(`HTTP ${response.status}: ${errorText}`);
+            }
+            // Assuming the server returns a URL to the .wav file
+            const data = await response.json();
+            if (data.output_file_url) {
+                // Use an audio element to play the .wav file
+                const audioElement = new Audio(data.output_file_url);
+                audioElement.play().catch(e => console.error("Error playing audio:", e));
+            } else {
+                console.warn("[previewTtsVoice] No output file URL received in the response");
+                throw new Error("No output file URL received in the response");
+            }
+
+        } catch (error) {
+            console.error("[previewTtsVoice] Exception caught during preview generation:", error);
+            throw error;
+        }
+    }
+
+    //#####################//
+    //  Populate ST voices //
+    //#####################//
+
+    async getVoice(voiceName, generatePreview = false) {
+        // Ensure this.voices is populated
+        if (this.voices.length === 0) {
+            // Fetch voice objects logic
+        }
+        // Find the object where the name matches voiceName
+        const match = this.voices.find(voice => voice.name === voiceName);
+        if (!match) {
+            // Error handling
+        }
+        // Generate preview URL only if requested
+        if (!match.preview_url && generatePreview) {
+            // Generate preview logic
+        }
+        return match; // Return the found voice object
+    }
+
+    //##########################################//
+    //  Generate TTS Streaming or call Standard //
+    //##########################################//
+
+    async generateTts(inputText, voiceId) {
+        try {
+            if (this.settings.at_generation_method === 'streaming_enabled') {
+                // Construct the streaming URL
+                const streamingUrl = `${this.settings.provider_endpoint}/api/tts-generate-streaming?text=${encodeURIComponent(inputText)}&voice=${encodeURIComponent(voiceId)}.wav&language=${encodeURIComponent(this.settings.language)}&output_file=stream_output.wav`;
+                console.log("Streaming URL:", streamingUrl);
+        
+                // Return the streaming URL directly
+                return streamingUrl; 
+            } else {
+                // For standard method
+                const outputUrl = await this.fetchTtsGeneration(inputText, voiceId);
+                const audioResponse = await fetch(outputUrl);
+                if (!audioResponse.ok) {
+                    throw new Error(`HTTP ${audioResponse.status}: Failed to fetch audio data`);
+                }
+                return audioResponse; // Return the fetch response directly
+            }
+        } catch (error) {
+            console.error("Error in generateTts:", error);
+            throw error;
+        }
+    }
+
+
+    //####################//
+    //  Generate Standard //
+    //####################//
+
+    async fetchTtsGeneration(inputText, voiceId) {
+        // Prepare the request payload
+        const requestBody = new URLSearchParams({
+            'text_input': inputText,
+            'text_filtering': "standard",
+            'character_voice_gen': voiceId + ".wav",
+            'narrator_enabled': this.settings.narrator_enabled,
+            'narrator_voice_gen': this.settings.narrator_voice_gen + ".wav",
+            'text_not_inside': this.settings.at_narrator_text_not_inside,
+            'language': this.settings.language,
+            'output_file_name': "st_output",
+            'output_file_timestamp': "true",
+            'autoplay': "false",
+            'autoplay_volume': "0.8"
+        }).toString();
+
+        try {
+            const response = await doExtrasFetch(
+                `${this.settings.provider_endpoint}/api/tts-generate`,
+                {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/x-www-form-urlencoded',
+                        'Cache-Control': 'no-cache',
+                    },
+                    body: requestBody
+                }
+            );
+
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`[fetchTtsGeneration] Error Response Text:`, errorText);
+                // toastr.error(response.statusText, 'TTS Generation Failed');
+                throw new Error(`HTTP ${response.status}: ${errorText}`);
+            }
+            const data = await response.json();
+            const outputUrl = data.output_file_url;
+            return outputUrl; // Return only the output_file_url
+        } catch (error) {
+            console.error("[fetchTtsGeneration] Exception caught:", error);
+            throw error; // Rethrow the error for further handling
+        }
+    }
+}
+
+//#########################//
+//  Update Status Messages //
+//#########################//
+
+function updateStatus(message) {
+    const statusElement = document.getElementById('status_info');
+    if (statusElement) {
+        statusElement.textContent = message;
+        switch (message) {
+            case 'Offline':
+                statusElement.style.color = 'red';
+                break;
+            case 'Ready':
+                statusElement.style.color = 'lightgreen';
+                break;
+            case 'Processing':
+                statusElement.style.color = 'blue';
+                break;
+            case 'Error':
+                statusElement.style.color = 'red';
+                break;
+        }
+    }
+}

templates/STfiles/style.css

@@ -0,0 +1,159 @@
+#tts_media_control {
+    /* order: 100; */
+    /*     width: 40px;
+    height: 40px;
+    margin: 0;
+    padding: 1px; */
+    outline: none;
+    border: none;
+    cursor: pointer;
+    /*     transition: 0.3s;
+    opacity: 0.7; */
+    display: flex;
+    align-items: center;
+    /* justify-content: center; */
+
+}
+
+#ttsExtensionMenuItem {
+    transition: 0.3s;
+    opacity: 0.7;
+}
+
+#ttsExtensionMenuItem:hover {
+    opacity: 1;
+    filter: brightness(1.2);
+}
+
+#tts_media_control:hover {
+    opacity: 1;
+    filter: brightness(1.2);
+}
+
+.voice_preview {
+    margin: 0.25rem 0.5rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    gap: 0.5rem;
+}
+
+.voice_preview .voice_name {
+    text-align: left;
+    flex: 1;
+}
+
+.voice_preview .voice_lang {
+    width: 4rem;
+    text-align: left;
+}
+
+.voice_preview .fa-play {
+    cursor: pointer;
+}
+
+.tts-button {
+    margin: 0;
+    outline: none;
+    border: none;
+    cursor: pointer;
+    transition: 0.3s;
+    opacity: 0.7;
+    align-items: center;
+    justify-content: center;
+
+}
+
+.tts-button:hover {
+    opacity: 1;
+}
+
+.tts_block {
+    display: flex;
+    align-items: baseline;
+    column-gap: 5px;
+    flex-wrap: wrap;
+}
+
+.tts_custom_voices {
+    display: flex;
+    align-items: baseline;
+    gap: 5px;
+}
+
+.novel_tts_hints {
+    font-size: calc(0.9 * var(--mainFontSize));
+    display: flex;
+    flex-direction: column;
+    gap: 5px;
+    margin-bottom: 5px;
+}
+
+.at-settings-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    width: 100%;
+}
+
+.at-settings-option {
+    flex: 1;
+    margin: 0 10px;
+}
+
+.at-endpoint-option {
+    flex: 1; 
+    margin: 0 10px;
+    margin-right: 25px;
+    width: 38%;
+}
+
+.at-website-row {
+    display: flex;
+    justify-content: start;
+    align-items: center;
+    margin-top: 10px; 
+    margin-bottom: 10px;
+}
+
+.at-website-option {
+    flex: 1; 
+    margin-right: 10px; 
+    margin-left: 10px; 
+}
+
+.at-settings-separator {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 18x;
+    font-weight: bold;
+    border-top: 1px solid #e1e1e1; /* Grey line */
+    border-bottom: 1px solid #e1e1e1; /* Grey line */
+    text-align: center;
+}
+
+.at-status-message {
+    flex: 1;
+    margin: 0 10px;
+}
+
+.at-model-endpoint-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    width: 100%;
+}
+
+.at-model-option, .endpoint-option {
+    flex: 1;
+    margin: 0 10px;
+    margin-left: 10px; 
+}
+
+.at-endpoint-option {
+    width: 38%;
+}
+
+#at-status_info {
+    color: lightgreen; 
+}

templates/generate_form.html

@@ -201,12 +201,12 @@
             value="{{ data.output_folder_wav }}" />
 
 
-        <input type="hidden" id="model_loaded" name="model_loaded" value="{{ data.model_loaded }}" />
+        <input type="hidden" id="tts_model_loaded" name="tts_model_loaded" value="{{ data.tts_model_loaded }}" />
 
         <!-- Continue updating other dropdowns and inputs in a similar manner -->
 
-        <label for="model_name" style="color: red;"> API TTS Model Name:</label>
+        <label for="tts_model_name" style="color: red;"> API TTS Model Name:</label>
-        <input id="model_name" name="model_name" required="" type="text" value="{{ data.model_name }}" />
+        <input id="tts_model_name" name="tts_model_name" required="" type="text" value="{{ data.tts_model_name }}" />
 
         <label for="model_version"
             style="color: red; font-size: 16px; line-height: 1; vertical-align: bottom; margin-bottom: 0;">&nbsp;

templates/tts_chunk_player/crunker.d.ts

@@ -0,0 +1,179 @@
+export interface CrunkerConstructorOptions {
+    /**
+     * Sample rate for Crunker's internal audio context.
+     *
+     * @default 44100
+     */
+    sampleRate: number;
+}
+export type CrunkerInputTypes = string | File | Blob;
+/**
+ * An exported Crunker audio object.
+ */
+export interface ExportedCrunkerAudio {
+    blob: Blob;
+    url: string;
+    element: HTMLAudioElement;
+}
+/**
+ * Crunker is the simple way to merge, concatenate, play, export and download audio files using the Web Audio API.
+ */
+export default class Crunker {
+    private readonly _sampleRate;
+    private readonly _context;
+    /**
+     * Creates a new instance of Crunker with the provided options.
+     *
+     * If `sampleRate` is not defined, it will auto-select an appropriate sample rate
+     * for the device being used.
+     */
+    constructor({ sampleRate }?: Partial<CrunkerConstructorOptions>);
+    /**
+     * Creates Crunker's internal AudioContext.
+     *
+     * @internal
+     */
+    private _createContext;
+    /**
+     *
+     * The internal AudioContext used by Crunker.
+     */
+    get context(): AudioContext;
+    /**
+     * Asynchronously fetches multiple audio files and returns an array of AudioBuffers.
+     */
+    fetchAudio(...filepaths: CrunkerInputTypes[]): Promise<AudioBuffer[]>;
+    /**
+     * Merges (layers) multiple AudioBuffers into a single AudioBuffer.
+     *
+     * **Visual representation:**
+     *
+     * ![](https://user-images.githubusercontent.com/12958674/88806278-968f0680-d186-11ea-9cb5-8ef2606ffcc7.png)
+     */
+    mergeAudio(buffers: AudioBuffer[]): AudioBuffer;
+    /**
+     * Concatenates multiple AudioBuffers into a single AudioBuffer.
+     *
+     * **Visual representation:**
+     *
+     * ![](https://user-images.githubusercontent.com/12958674/88806297-9d1d7e00-d186-11ea-8cd2-c64cb0324845.png)
+     */
+    concatAudio(buffers: AudioBuffer[]): AudioBuffer;
+    /**
+     * Pads a specified AudioBuffer with silence from a specified start time,
+     * for a specified length of time.
+     *
+     * Accepts float values as well as whole integers.
+     *
+     * @param buffer AudioBuffer to pad
+     * @param padStart Time to start padding (in seconds)
+     * @param seconds Duration to pad for (in seconds)
+     */
+    padAudio(buffer: AudioBuffer, padStart?: number, seconds?: number): AudioBuffer;
+    /**
+     * Slices an AudioBuffer from the specified start time to the end time, with optional fade in and out.
+     *
+     * @param buffer AudioBuffer to slice
+     * @param start Start time (in seconds)
+     * @param end End time (in seconds)
+     * @param fadeIn Fade in duration (in seconds, default is 0)
+     * @param fadeOut Fade out duration (in seconds, default is 0)
+     */
+    sliceAudio(buffer: AudioBuffer, start: number, end: number, fadeIn?: number, fadeOut?: number): AudioBuffer;
+    /**
+     * Plays the provided AudioBuffer in an AudioBufferSourceNode.
+     */
+    play(buffer: AudioBuffer): AudioBufferSourceNode;
+    /**
+     * Exports the specified AudioBuffer to a Blob, Object URI and HTMLAudioElement.
+     *
+     * Note that changing the MIME type does not change the actual file format. The
+     * file format will **always** be a WAVE file due to how audio is stored in the
+     * browser.
+     *
+     * @param buffer Buffer to export
+     * @param type MIME type (default: `audio/wav`)
+     */
+    export(buffer: AudioBuffer, type?: string): ExportedCrunkerAudio;
+    /**
+     * Downloads the provided Blob.
+     *
+     * @param blob Blob to download
+     * @param filename An optional file name to use for the download (default: `crunker`)
+     */
+    download(blob: Blob, filename?: string): HTMLAnchorElement;
+    /**
+     * Executes a callback if the browser does not support the Web Audio API.
+     *
+     * Returns the result of the callback, or `undefined` if the Web Audio API is supported.
+     *
+     * @param callback callback to run if the browser does not support the Web Audio API
+     */
+    notSupported<T>(callback: () => T): T | undefined;
+    /**
+     * Closes Crunker's internal AudioContext.
+     */
+    close(): this;
+    /**
+     * Returns the largest duration of the longest AudioBuffer.
+     *
+     * @internal
+     */
+    private _maxDuration;
+    /**
+     * Returns the largest number of channels in an array of AudioBuffers.
+     *
+     * @internal
+     */
+    private _maxNumberOfChannels;
+    /**
+     * Returns the sum of the lengths of an array of AudioBuffers.
+     *
+     * @internal
+     */
+    private _totalLength;
+    /**
+     * Returns whether the browser supports the Web Audio API.
+     *
+     * @internal
+     */
+    private _isSupported;
+    /**
+     * Writes the WAV headers for the specified Float32Array.
+     *
+     * Returns a DataView containing the WAV headers and file content.
+     *
+     * @internal
+     */
+    private _writeHeaders;
+    /**
+     * Converts a Float32Array to 16-bit PCM.
+     *
+     * @internal
+     */
+    private _floatTo16BitPCM;
+    /**
+     * Writes a string to a DataView at the specified offset.
+     *
+     * @internal
+     */
+    private _writeString;
+    /**
+     * Converts an AudioBuffer to a Float32Array.
+     *
+     * @internal
+     */
+    private _interleave;
+    /**
+     * Creates an HTMLAudioElement whose source is the specified Blob.
+     *
+     * @internal
+     */
+    private _renderAudioElement;
+    /**
+     * Creates an Object URL for the specified Blob.
+     *
+     * @internal
+     */
+    private _renderURL;
+}

templates/tts_chunk_player/crunker.esm.js

@@ -0,0 +1,2 @@
+var e={d:(t,n)=>{for(var r in n)e.o(n,r)&&!e.o(t,r)&&Object.defineProperty(t,r,{enumerable:!0,get:n[r]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t)},t={};function n(e){return n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},n(e)}function r(e){return function(e){if(Array.isArray(e))return a(e)}(e)||function(e){if("undefined"!=typeof Symbol&&null!=e[Symbol.iterator]||null!=e["@@iterator"])return Array.from(e)}(e)||function(e,t){if(!e)return;if("string"==typeof e)return a(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);"Object"===n&&e.constructor&&(n=e.constructor.name);if("Map"===n||"Set"===n)return Array.from(e);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return a(e,t)}(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function a(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function o(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function i(e,t){for(var r=0;r<t.length;r++){var a=t[r];a.enumerable=a.enumerable||!1,a.configurable=!0,"value"in a&&(a.writable=!0),Object.defineProperty(e,(o=a.key,i=void 0,i=function(e,t){if("object"!==n(e)||null===e)return e;var r=e[Symbol.toPrimitive];if(void 0!==r){var a=r.call(e,t||"default");if("object"!==n(a))return a;throw new TypeError("@@toPrimitive must return a primitive value.")}return("string"===t?String:Number)(e)}(o,"string"),"symbol"===n(i)?i:String(i)),a)}var o,i}e.d(t,{Z:()=>u});var u=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=t.sampleRate;o(this,e),this._context=this._createContext(n),n||(n=this._context.sampleRate),this._sampleRate=n}var t,n,a;return t=e,n=[{key:"_createContext",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:44100;return window.AudioContext=window.AudioContext||window.webkitAudioContext||window.mozAudioContext,new AudioContext({sampleRate:e})}},{key:"context",get:function(){return this._context}},{key:"fetchAudio",value:async function(){for(var e=this,t=arguments.length,n=new Array(t),r=0;r<t;r++)n[r]=arguments[r];return await Promise.all(n.map((async function(t){var n;return n=t instanceof File||t instanceof Blob?await t.arrayBuffer():await fetch(t).then((function(e){return e.headers.has("Content-Type")&&!e.headers.get("Content-Type").includes("audio/")&&console.warn("Crunker: Attempted to fetch an audio file, but its MIME type is `".concat(e.headers.get("Content-Type").split(";")[0],"`. We'll try and continue anyway. (file: \"").concat(t,'")')),e.arrayBuffer()})),await e._context.decodeAudioData(n)})))}},{key:"mergeAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._sampleRate*this._maxDuration(e),this._sampleRate);return e.forEach((function(e){for(var n=0;n<e.numberOfChannels;n++){for(var r=t.getChannelData(n),a=e.getChannelData(n),o=e.getChannelData(n).length-1;o>=0;o--)r[o]+=a[o];t.getChannelData(n).set(r)}})),t}},{key:"concatAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._totalLength(e),this._sampleRate),n=0;return e.forEach((function(e){for(var r=0;r<e.numberOfChannels;r++)t.getChannelData(r).set(e.getChannelData(r),n);n+=e.length})),t}},{key:"padAudio",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;if(0===n)return e;if(t<0)throw new Error('Crunker: Parameter "padStart" in padAudio must be positive');if(n<0)throw new Error('Crunker: Parameter "seconds" in padAudio must be positive');for(var r=this._context.createBuffer(e.numberOfChannels,Math.ceil(e.length+n*e.sampleRate),e.sampleRate),a=0;a<e.numberOfChannels;a++){var o=e.getChannelData(a);r.getChannelData(a).set(o.subarray(0,Math.ceil(t*e.sampleRate)+1),0),r.getChannelData(a).set(o.subarray(Math.ceil(t*e.sampleRate)+2,r.length+1),Math.ceil((t+n)*e.sampleRate))}return r}},{key:"sliceAudio",value:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;if(t>=n)throw new Error('Crunker: "start" time should be less than "end" time in sliceAudio method');for(var o=Math.round((n-t)*this._sampleRate),i=Math.round(t*this._sampleRate),u=this._context.createBuffer(e.numberOfChannels,o,this._sampleRate),l=0;l<e.numberOfChannels;l++)for(var s=e.getChannelData(l),c=u.getChannelData(l),f=0;f<o;f++)c[f]=s[i+f],f<r*this._sampleRate&&(c[f]*=f/(r*this._sampleRate)),f>o-a*this._sampleRate&&(c[f]*=(o-f)/(a*this._sampleRate));return u}},{key:"play",value:function(e){var t=this._context.createBufferSource();return t.buffer=e,t.connect(this._context.destination),t.start(),Line truncated
+//# sourceMappingURL=crunker.esm.js.map

templates/tts_chunk_player/crunker.esm.js.map

@@ -0,0 +1 @@
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truncated

templates/tts_chunk_player/howler.min.js

@@ -0,0 +1,4 @@
+/*! howler.js v2.2.4 | (c) 2013-2020, James Simpson of GoldFire Studios | MIT License | howlerjs.com */
+!function(){"use strict";var e=function(){this.init()};e.prototype={init:function(){var e=this||n;return e._counter=1e3,e._html5AudioPool=[],e.html5PoolSize=10,e._codecs={},e._howls=[],e._muted=!1,e._volume=1,e._canPlayEvent="canplaythrough",e._navigator="undefined"!=typeof window&&window.navigator?window.navigator:null,e.masterGain=null,e.noAudio=!1,e.usingWebAudio=!0,e.autoSuspend=!0,e.ctx=null,e.autoUnlock=!0,e._setup(),e},volume:function(e){var o=this||n;if(e=parseFloat(e),o.ctx||_(),void 0!==e&&e>=0&&e<=1){if(o._volume=e,o._muted)return o;o.usingWebAudio&&o.masterGain.gain.setValueAtTime(e,n.ctx.currentTime);for(var t=0;t<o._howls.length;t++)if(!o._howls[t]._webAudio)for(var r=o._howls[t]._getSoundIds(),a=0;a<r.length;a++){var u=o._howls[t]._soundById(r[a]);u&&u._node&&(u._node.volume=u._volume*e)}return o}return o._volume},mute:function(e){var o=this||n;o.ctx||_(),o._muted=e,o.usingWebAudio&&o.masterGain.gain.setValueAtTime(e?0:o._volume,n.ctx.currentTime);for(var t=0;t<o._howls.length;t++)if(!o._howls[t]._webAudio)for(var r=o._howls[t]._getSoundIds(),a=0;a<r.length;a++){var u=o._howls[t]._soundById(r[a]);u&&u._node&&(u._node.muted=!!e||u._muted)}return o},stop:function(){for(var e=this||n,o=0;o<e._howls.length;o++)e._howls[o].stop();return e},unload:function(){for(var e=this||n,o=e._howls.length-1;o>=0;o--)e._howls[o].unload();return e.usingWebAudio&&e.ctx&&void 0!==e.ctx.close&&(e.ctx.close(),e.ctx=null,_()),e},codecs:function(e){return(this||n)._codecs[e.replace(/^x-/,"")]},_setup:function(){var e=this||n;if(e.state=e.ctx?e.ctx.state||"suspended":"suspended",e._autoSuspend(),!e.usingWebAudio)if("undefined"!=typeof Audio)try{var o=new Audio;void 0===o.oncanplaythrough&&(e._canPlayEvent="canplay")}catch(n){e.noAudio=!0}else e.noAudio=!0;try{var o=new Audio;o.muted&&(e.noAudio=!0)}catch(e){}return e.noAudio||e._setupCodecs(),e},_setupCodecs:function(){var e=this||n,o=null;try{o="undefined"!=typeof Audio?new Audio:null}catch(n){return e}if(!o||"function"!=typeof o.canPlayType)return e;var t=o.canPlayType("audio/mpeg;").replace(/^no$/,""),r=e._navigator?e._navigator.userAgent:"",a=r.match(/OPR\/(\d+)/g),u=a&&parseInt(a[0].split("/")[1],10)<33,d=-1!==r.indexOf("Safari")&&-1===r.indexOf("Chrome"),i=r.match(/Version\/(.*?) /),_=d&&i&&parseInt(i[1],10)<15;return e._codecs={mp3:!(u||!t&&!o.canPlayType("audio/mp3;").replace(/^no$/,"")),mpeg:!!t,opus:!!o.canPlayType('audio/ogg; 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templates/word_addin/1995fcd6d39cade7d871.js

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templates/word_addin/1995fcd6d39cade7d871.js.LICENSE.txt

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+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */

templates/word_addin/1fda685b81e1123773f6.css

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+/* 
+ * Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT license.
+ * See LICENSE in the project root for license information.
+ */
+
+ html,
+ body {
+     width: 100%;
+     height: 100%;
+     margin: 0;
+     padding: 0;
+ }
+ 
+ ul {
+     margin: 0;
+     padding: 0;
+ }
+ 
+ .ms-welcome__header {
+    padding: 20px;
+    padding-bottom: 30px;
+    padding-top: 100px;
+    display: -webkit-flex;
+    display: flex;
+    -webkit-flex-direction: column;
+    flex-direction: column;
+    align-items: center;
+ }
+
+ .ms-welcome__main {
+    display: -webkit-flex;
+    display: flex;
+    -webkit-flex-direction: column;
+    flex-direction: column;
+    -webkit-flex-wrap: nowrap;
+    flex-wrap: nowrap;
+    -webkit-align-items: center;
+    align-items: center;
+    -webkit-flex: 1 0 0;
+    flex: 1 0 0;
+    padding: 10px 20px;
+ }
+ 
+ .ms-welcome__main > h2 {
+     width: 100%;
+     text-align: center;
+ }
+ 
+ .ms-welcome__features {
+     list-style-type: none;
+     margin-top: 20px;
+ }
+ 
+ .ms-welcome__features.ms-List .ms-ListItem {
+     padding-bottom: 20px;
+     display: -webkit-flex;
+     display: flex;
+ }
+ 
+ .ms-welcome__features.ms-List .ms-ListItem > .ms-Icon {
+     margin-right: 10px;
+ }
+ 
+ .ms-welcome__action.ms-Button--hero {
+     margin-top: 30px;
+ }
+ 
+.ms-Button.ms-Button--hero .ms-Button-label {
+  color: #0078d7;
+}
+
+.ms-Button.ms-Button--hero:hover .ms-Button-label,
+.ms-Button.ms-Button--hero:focus .ms-Button-label{
+  color: #005a9e;
+  cursor: pointer;
+}
+
+b {
+    font-weight: bold;
+}

templates/word_addin/commands.html

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+<!doctype html><html><head><meta charset="UTF-8"/><meta http-equiv="X-UA-Compatible" content="IE=Edge"/><script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script><script defer="defer" src="polyfill.js"></script><script defer="defer" src="commands.js"></script></head><body></body></html>

templates/word_addin/commands.js

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+!function(){var e={};e.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(e){if("object"==typeof window)return window}}(),Office.onReady((function(){})),("undefined"!=typeof self?self:"undefined"!=typeof window?window:void 0!==e.g?e.g:void 0).action=function(e){var n={type:Office.MailboxEnums.ItemNotificationMessageType.InformationalMessage,message:"Performed action.",icon:"Icon.80x80",persistent:!0};Office.context.mailbox.item.notificationMessages.replaceAsync("action",n),e.completed()}}();
+//# sourceMappingURL=commands.js.map

templates/word_addin/commands.js.map

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+{"version":3,"file":"commands.js","mappings":"YACA,IAAIA,EAAsB,CAAC,ECD3BA,EAAoBC,EAAI,WACvB,GAA0B,iBAAfC,WAAyB,OAAOA,WAC3C,IACC,OAAOC,MAAQ,IAAIC,SAAS,cAAb,EAChB,CAAE,MAAOC,GACR,GAAsB,iBAAXC,OAAqB,OAAOA,MACxC,CACA,CAPuB,GCOxBC,OAAOC,SAAQ,WACb,KAuBuB,oBAATC,KACVA,KACkB,oBAAXH,OACPA,YACkB,IAAXI,EAAAA,EACPA,EAAAA,OACAC,GAMJC,OA5BF,SAAgBC,GACd,IAAMC,EAAU,CACdC,KAAMR,OAAOS,aAAaC,4BAA4BC,qBACtDJ,QAAS,oBACTK,KAAM,aACNC,YAAY,GAIdb,OAAOc,QAAQC,QAAQC,KAAKC,qBAAqBC,aAAa,SAAUX,GAGxED,EAAMa,WACR,C","sources":["webpack://office-addin-taskpane-js/webpack/bootstrap","webpack://office-addin-taskpane-js/webpack/runtime/global","webpack://office-addin-taskpane-js/./src/commands/commands.js"],"sourcesContent":["// The require scope\nvar __webpack_require__ = {};\n\n","__webpack_require__.g = (function() {\n\tif (typeof globalThis === 'object') return globalThis;\n\ttry {\n\t\treturn this || new Function('return this')();\n\t} catch (e) {\n\t\tif (typeof window === 'object') return window;\n\t}\n})();","/*\n * Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT license.\n * See LICENSE in the project root for license information.\n */\n\n/* global global, Office, self, window */\n\nOffice.onReady(() => {\n  // If needed, Office.js is ready to be called\n});\n\n/**\n * Shows a notification when the add-in command is executed.\n * @param event {Office.AddinCommands.Event}\n */\nfunction action(event) {\n  const message = {\n    type: Office.MailboxEnums.ItemNotificationMessageType.InformationalMessage,\n    message: \"Performed action.\",\n    icon: \"Icon.80x80\",\n    persistent: true,\n  };\n\n  // Show a notification message\n  Office.context.mailbox.item.notificationMessages.replaceAsync(\"action\", message);\n\n  // Be sure to indicate when the add-in command function is complete\n  event.completed();\n}\n\nfunction getGlobal() {\n  return typeof self !== \"undefined\"\n    ? self\n    : typeof window !== \"undefined\"\n    ? window\n    : typeof global !== \"undefined\"\n    ? global\n    : undefined;\n}\n\nconst g = getGlobal();\n\n// The add-in command functions need to be available in global scope\ng.action = action;\n"],"names":["__webpack_require__","g","globalThis","this","Function","e","window","Office","onReady","self","global","undefined","action","event","message","type","MailboxEnums","ItemNotificationMessageType","InformationalMessage","icon","persistent","context","mailbox","item","notificationMessages","replaceAsync","completed"],"sourceRoot":""}

templates/word_addin/manifest.xml

@@ -0,0 +1,79 @@
+<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
+<OfficeApp xmlns="http://schemas.microsoft.com/office/appforoffice/1.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:bt="http://schemas.microsoft.com/office/officeappbasictypes/1.0" xmlns:ov="http://schemas.microsoft.com/office/taskpaneappversionoverrides" xsi:type="TaskPaneApp">
+  <Id>68b6ad53-4f72-42a8-a971-a9643c2f409a</Id>
+  <Version>1.0.0.0</Version>
+  <ProviderName>AllTalk</ProviderName>
+  <DefaultLocale>en-US</DefaultLocale>
+  <DisplayName DefaultValue="AllTalk TTS"/>
+  <Description DefaultValue="Enhance your document creation with AllTalk TTS's advanced text-to-voice functionality. Requires connection to AllTalk server."/>
+  <IconUrl DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-32.png"/>
+  <HighResolutionIconUrl DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-64.png"/>
+  <SupportUrl DefaultValue="https://github.com/erew123/alltalk_tts/issues"/>
+  <AppDomains>
+    <AppDomain>https://www.contoso.com</AppDomain>
+  </AppDomains>
+  <Hosts>
+    <Host Name="Document"/>
+  </Hosts>
+  <DefaultSettings>
+    <SourceLocation DefaultValue="http://127.0.0.1:7851/api/word_addin/taskpane.html"/>
+  </DefaultSettings>
+  <Permissions>ReadWriteDocument</Permissions>
+  <VersionOverrides xmlns="http://schemas.microsoft.com/office/taskpaneappversionoverrides" xsi:type="VersionOverridesV1_0">
+    <Hosts>
+      <Host xsi:type="Document">
+        <DesktopFormFactor>
+          <!-- You can add GetStarted information here if needed -->
+          <FunctionFile resid="Commands.Url"/>
+          <ExtensionPoint xsi:type="PrimaryCommandSurface">
+            <OfficeTab id="TabHome">
+              <Group id="AllTalkGroup">
+                <Label resid="AllTalkGroup.Label"/>
+                <Icon>
+                  <bt:Image size="16" resid="Icon.16x16"/>
+                  <bt:Image size="32" resid="Icon.32x32"/>
+                  <bt:Image size="80" resid="Icon.80x80"/>
+                </Icon>
+                <Control xsi:type="Button" id="AllTalkTaskpaneButton">
+                  <Label resid="AllTalkTaskpaneButton.Label"/>
+                  <Supertip>
+                    <Title resid="AllTalkTaskpaneButton.Label"/>
+                    <Description resid="AllTalkTaskpaneButton.Tooltip"/>
+                  </Supertip>
+                  <Icon>
+                    <bt:Image size="16" resid="Icon.16x16"/>
+                    <bt:Image size="32" resid="Icon.32x32"/>
+                    <bt:Image size="80" resid="Icon.80x80"/>
+                  </Icon>
+                  <Action xsi:type="ShowTaskpane">
+                    <TaskpaneId>ButtonId1</TaskpaneId>
+                    <SourceLocation resid="Taskpane.Url"/>
+                  </Action>
+                </Control>
+              </Group>
+            </OfficeTab>
+          </ExtensionPoint>
+        </DesktopFormFactor>
+      </Host>
+    </Hosts>
+    <Resources>
+      <bt:Images>
+        <bt:Image id="Icon.16x16" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-16.png"/>
+        <bt:Image id="Icon.32x32" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-32.png"/>
+        <bt:Image id="Icon.80x80" DefaultValue="http://127.0.0.1:7851/api/word_addin/assets/icon-80.png"/>
+      </bt:Images>
+      <bt:Urls>
+        <!-- Ensure that these URLs are pointing to valid locations -->
+        <bt:Url id="Commands.Url" DefaultValue="http://127.0.0.1:7851/api/word_addin/commands.html"/>
+        <bt:Url id="Taskpane.Url" DefaultValue="http://127.0.0.1:7851/api/word_addin/taskpane.html"/>
+      </bt:Urls>
+      <bt:ShortStrings>
+        <bt:String id="AllTalkGroup.Label" DefaultValue="AllTalk Controls"/>
+        <bt:String id="AllTalkTaskpaneButton.Label" DefaultValue="Open AllTalk"/>
+      </bt:ShortStrings>
+      <bt:LongStrings>
+        <bt:String id="AllTalkTaskpaneButton.Tooltip" DefaultValue="Open the AllTalk task pane to start using the add-in."/>
+      </bt:LongStrings>
+    </Resources>
+  </VersionOverrides>
+</OfficeApp>

templates/word_addin/polyfill.js

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+//# sourceMappingURL=polyfill.js.map

templates/word_addin/polyfill.js.map

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truncated

templates/word_addin/taskpane.html

@@ -0,0 +1,106 @@
+<!doctype html>
+<html>
+
+<head>
+    <meta charset="UTF-8" />
+    <meta http-equiv="X-UA-Compatible" content="IE=Edge" />
+    <meta name="viewport" content="width=device-width,initial-scale=1">
+    <title>AllTalk TTS Add-in</title>
+    <script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
+    <link rel="stylesheet"
+        href="https://static2.sharepointonline.com/files/fabric/office-ui-fabric-core/11.0.0/css/fabric.min.css" />
+    <link href="1fda685b81e1123773f6.css" rel="stylesheet" />
+    <style>
+        label {
+            font-weight: 700;
+            display: block;
+            margin-top: 10px
+        }
+
+        select {
+            width: 100%;
+            padding: 5px
+        }
+
+        .nice-button {
+            background-color: #0078d4;
+            color: #fff;
+            padding: 10px 20px;
+            border: none;
+            border-radius: 5px;
+            cursor: pointer;
+            font-size: 16px;
+            transition: background-color .3s ease
+        }
+
+        .nice-button:hover {
+            background-color: #005a9e
+        }
+
+        #audioSource {
+            width: 300px;
+            height: 50px
+        }
+
+        .input-container {
+            display: flex;
+            flex-direction: column;
+            margin-right: 10px
+        }
+
+        .input-group {
+            display: flex;
+            justify-content: start;
+            align-items: flex-end
+        }
+
+        .input-group>.input-container {
+            flex: 1
+        }
+
+        input {
+            width: 100%
+        }
+    </style>
+    <script defer="defer" src="polyfill.js"></script>
+    <script defer="defer" src="taskpane.js"></script>
+</head>
+
+<body class="ms-font-m ms-welcome ms-Fabric">
+    <header class="ms-welcome__header ms-bgColor-neutralLighter"><img width="90" height="90"
+            src="http://127.0.0.1:7851/api/word_addin/assets/logo-filled.png" alt="AllTalk TTS" title="AllTalk TTS" />
+        <h1 class="ms-font-su">AllTalk TTS</h1>
+    </header>
+    <main class="ms-welcome__main"><textarea id="text" rows="4" placeholder="Enter text here"
+            style="display:none"></textarea> <label for="voice">Voice:</label> <select id="voice" name="voice"
+            required></select> <label for="language">Language:</label> <select id="language" name="language"
+            value="English" required>
+            <option value="en" selected="selected">English</option>
+            <option value="ar">Arabic</option>
+            <option value="zh-cn">Chinese</option>
+            <option value="cs">Czech</option>
+            <option value="nl">Dutch</option>
+            <option value="fr">French</option>
+            <option value="de">German</option>
+            <option value="hu">Hungarian</option>
+            <option value="it">Italian</option>
+            <option value="ja">Japanese</option>
+            <option value="ko">Korean</option>
+            <option value="pl">Polish</option>
+            <option value="pt">Portuguese</option>
+            <option value="ru">Russian</option>
+            <option value="es">Spanish</option>
+            <option value="tr">Turkish</option>
+        </select><br><audio id="audioSource" controls autoplay></audio><br><button id="sendTextButton"
+            class="nice-button">Send Text to TTS</button><br><br><br><br>
+        <div class="input-group">
+            <div class="input-container"><label for="serverIP">Server IP:</label> <input id="serverIP" name="serverIP"
+                    value="127.0.0.1" required></div>
+            <div class="input-container"><label for="portNumber">Port Number:</label> <input type="number"
+                    id="portNumber" name="portNumber" value="7851" required></div>
+        </div>
+    </main>
+    <script src="1995fcd6d39cade7d871.js"></script>
+</body>
+
+</html>

templates/word_addin/taskpane.js

@@ -0,0 +1,3 @@
+/*! For license information please see taskpane.js.LICENSE.txt */
+!function(){var t={27091:function(t){"use strict";t.exports=function(t,e){return e||(e={}),t?(t=String(t.__esModule?t.default:t),e.hash&&(t+=e.hash),e.maybeNeedQuotes&&/[\t\n\f\r "'=<>`]/.test(t)?'"'.concat(t,'"'):t):t}},44944:function(t,e,r){"use strict";t.exports=r.p+"assets/logo-filled.png"},36076:function(t,e,r){"use strict";t.exports=r.p+"1995fcd6d39cade7d871.js"},60806:function(t,e,r){"use strict";t.exports=r.p+"1fda685b81e1123773f6.css"}},e={};function r(n){var o=e[n];if(void 0!==o)return o.exports;var i=e[n]={exports:{}};return t[n](i,i.exports,r),i.exports}r.m=t,r.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return r.d(e,{a:e}),e},r.d=function(t,e){for(var n in e)r.o(e,n)&&!r.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},r.g=function(){if("object"==typeof globalThis)return globalThis;try{return this||new Function("return this")()}catch(t){if("object"==typeof window)return window}}(),r.o=function(t,e){return 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+//# sourceMappingURL=taskpane.js.map

templates/word_addin/taskpane.js.LICENSE.txt

@@ -0,0 +1 @@
+/*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/facebook/regenerator/blob/main/LICENSE */

templates/word_addin/taskpane.js.map

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truncated