Update README.md

AllTalk TTS Generator
Delete templates/TTS_Input_Proof_of_concept.html
2024-01-06 20:49:58 +00:00 · 2024-01-06 20:26:05 +00:00 · 2024-01-06 20:24:20 +00:00 · 2024-01-05 13:27:49 +00:00 · 2024-01-05 13:26:15 +00:00 · 2024-01-05 13:24:20 +00:00
47 changed files with 7160 additions and 831 deletions
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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.
@@ -0,0 +1,20 @@
 ---
 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.
@@ -1,5 +1,8 @@
 voices/*.*
 models/*.*
 outputs/*.*
 finetune/*.*
 config.json
 confignew.json
 models.json
 diagnostics.log
@@ -0,0 +1,9 @@
 {
    "files.associations": {
        "*.html": "jinja-html"
    },
    "emmet.includeLanguages": {
        "jinja-html": "html",
        "jinja2": "html"
    },
 }
@@ -0,0 +1,661 @@
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                     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/>.
@@ -1,15 +1,18 @@
 # AllTalk TTS
 AllTalk is an updated version of the Coqui_tts extension for Text Generation web UI. Features include:
- **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
+- **Can be run as a** [standalone](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app) **or part of** [Text-generation-webui](https://github.com/erew123/alltalk_tts?#-installation-on-text-generation-web-ui)
- **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18fYWVxiQpk1)
+- **Model Finetuning:** Train the model specifically on a voice of your choosing for better reproduction.
 - **Low VRAM mode:** Improve generation performance if your VRAM is filled by your LLM. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
 - **DeepSpeed:** A 3-4x performance boost generating TTS. [DeepSpeed Windows/Linux Instructions](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options) [Screenshot](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db)
 - **Local/Custom models:** Use any of the XTTSv2 models (API Local and XTTSv2 Local).
 - **Bulk TTS Generator/Editor:** Generate hours of TTS into one big file or have something read back to you.
 - **DeepSpeed:** A 3-4x performance boost generating TTS. [DeepSpeed Windows/Linux Instructions](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options) [Screenshot](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db)
 - **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
 - **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
 - **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA)
 - **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
 - **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Console output** Clear command line output for any warnings or issues.
+- **Console output:** Clear command line output for any warnings or issues.
- **Standalone/3rd Party support via JSON calls** Can be used with 3rd party applications via JSON calls.
+- **API Suite and 3rd Party support via JSON calls:** Can be used with 3rd party applications via JSON calls.
 ## Index
@@ -17,31 +20,27 @@ AllTalk is an updated version of the Coqui_tts extension for Text Generation web
 - 🟪 [Updating & problems with updating](https://github.com/erew123/alltalk_tts?#-updating)
 - 🟫 [Screenshots](https://github.com/erew123/alltalk_tts#-screenshots)
 - 🟨 [Help with problems](https://github.com/erew123/alltalk_tts?#-help-with-problems)
 - ⚫ [Finetuning a model](https://github.com/erew123/alltalk_tts?#-finetuning-a-model)
 - 🔵🟢🟡 [DeepSpeed Installation (Windows & Linux)](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options)
 - 🟦 [Running AllTalk as a standalone app](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app)
 - ⬜ [AllTalk TTS Generator](https://github.com/erew123/alltalk_tts?#-alltalk-tts-generator)
 - 🟠 [API Suite and JSON-CURL](https://github.com/erew123/alltalk_tts?#-api-suite-and-json-curl)
 - 🔴 [Future to-do list & Upcoming updates](https://github.com/erew123/alltalk_tts?#-future-to-do-list)
-#### Updates
+## 🔄 Updates
-The latest build (13 Dec 2023) has had the entire text filtering engine and narration engine rebuilt from scratch. It's highly complicated how its actually working, but the end result it a much clearer TTS output and much better control over the narrator option and how to handle text that isnt within quotes or asterisks. Its a highly recommened update, for the improved quality it gives to the TTS output, if nothing else.
+Please check the below link to find a list of all recent updates and changes.
-
+#### &nbsp;&nbsp;&nbsp;&nbsp;🔄 **Updates list & bug fixes list** can be found [here](https://github.com/erew123/alltalk_tts/issues/25)
 Should you want the older version of the narrator engine+text filtering, I will leave this older copy [here](https://github.com/erew123/alltalk_tts/releases/tag/v1-old-narrator)
 DeepSpeed **v11.2** can be installed within the **default text-generation-webui Python 3.11 environment**. Instructions [here](https://github.com/erew123/alltalk_tts#deepspeed-112-for-windows--python-311) (or scroll down). Please note, this is **not** an official Microsoft method (currently) so they will not support you with this style installation. Officially, only DeepSpeed v8.3 is installing on Python 3.9.x.
 #### The one thing I cant easily work around
 With a RP chat with your AI, **on your character card** `parameters menu` > `character tab` > `greeting` make sure that anything in there that is the **narrator is in asterisks** and anything **spoken is in double quotes**, then hit the `save` (disk) button. Greeting paragraphs/sentences are handled differently from how the AI sends text and so its difficut to account for them both.
 I could force a delimeter in at this stage, but I know it would/may affect things further down the line in the chat and I need a good think about that before just making a change. This issue **only** affects the greeting card/start of conversation and the "example" card that comes with text-generation-webui suffers this issue (if you want to try it for yourself). So you would put double quotes around like this (from the example card):
 `"`Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers. I'm sure you have a wealth of knowledge that I can learn from.`"`
 ## 🟩 Installation on Text generation web UI
 This has been tested on the current Dec 2023 release of Text generation webUI. If you have not updated it for a while, you may wish to update Text generation webUI, [instructions here](https://github.com/oobabooga/text-generation-webui?tab=readme-ov-file#how-to-install)
 If you want to watch a video of how to do the below [link here](https://youtu.be/9BPKuwaav5w) 
 1) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br>
 `cd text-generation-webui`
-2) Start the Text generation webUI Python environment for your OS:<br><br>
+2) Start the Text generation webUI Python environment for your OS with whichever **one** of the below is correct for your OS:<br><br>
-`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`
+`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`<br><br> Loading Text-generation-webui's Python Environment is $\textcolor{red}{\textsf{VERY IMPORTANT}}$. If you are uncertain what a loaded Python environment looks like, image [here](https://github.com/erew123/alltalk_tts/issues/25#issuecomment-1869344442) and video [here](https://www.youtube.com/watch?v=9BPKuwaav5w)
 3) Move into your extensions folder:<br><br>
 `cd extensions`
@@ -52,36 +51,40 @@ This has been tested on the current Dec 2023 release of Text generation webUI. I
 5) Move into the **alltalk_tts** folder:<br><br>
 `cd alltalk_tts`
-6) Install the requirements:<br><br>
+6) Install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br>
-*Nvidia graphics card machines* - `pip install -r requirements_nvidia.txt`<br><br>
+**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
-*Other machines (mac, amd etc)* - `pip install -r requirements_other.txt`
+**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`
-7) **(Optional DeepSpeed)** If you have an Nvidia Graphics card on a system running Linux or Windows and wish to use **DeepSpeed** please follow these instructions [here](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options). Though you may wish to check things are generally working with the below steps before installing DeepSpeed.
+7) **(Optional DeepSpeed)** If you have an Nvidia Graphics card on a system running Linux or Windows and wish to use **DeepSpeed** please follow these instructions [here](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options). **However**, I would highly reccommend before you install DeepSpeed, you start text-generation-webui up, confirm AllTalk starts correctly and everything is working, as DeepSpeed can add another layer of complications troubleshooting any potential start-up issues. If necessary you can `pip uninstall deepspeed`.
-8) You can now start move back to the main Text generation webUI folder `cd ..` (a few times), start Text generation webUI (`start_windows.bat`,`./start_linux.sh`, `start_macos.sh` or `start_wsl.bat`)  and load the AllTalk extension in the Text generation webUI **session** tab.
+8) You can now start move back to the main Text generation webUI folder `cd ..` (a few times), start Text generation webUI with whichever **one** of the startup scripts is correct for your OS (`start_windows.bat`,`./start_linux.sh`, `start_macos.sh` or `start_wsl.bat`)  and load the AllTalk extension in the Text generation webUI **session** tab.<br><br> Starting Text-generation-webui with its correct start-up script is $\textcolor{red}{\textsf{VERY IMPORTANT}}$.
-9) Please read the note below about start-up times and also the note above about ensuring your character cards are set up [correctly](https://github.com/erew123/alltalk_tts#the-one-thing-i-cant-easily-work-around)
+10) Please read the note below about start-up times and also the note about ensuring your character cards are set up [correctly](https://github.com/erew123/alltalk_tts#the-one-thing-i-cant-easily-work-around)
-10) Some extra voices downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
+11) Some extra voices downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
-**Note: It can take a while to start up.** Check the command prompt/terminal window if you want to know what its doing. After it says "Model Loaded" the Text generation webUI is usually available on its IP address a few seconds later, for you to connect to in your browser.
+#### 🟩 Other installation notes
-
+On first startup, AllTalk will download the Coqui XTTSv2 2.0.2 model to its **models** folder (1.8GB space required). Check the command prompt/terminal window if you want to know what its doing. After it says "Model Loaded" the Text generation webUI is usually available on its IP address a few seconds later, for you to connect to in your browser.
 **Documentation:** Click on the link when inside Text generation webUI as shown in the screenshot [here](https://github.com/erew123/alltalk_tts#screenshots)
 **Where to find voices** https://aiartes.com/voiceai or https://commons.wikimedia.org/ or interviews on youtube etc. Instructions on how to cut down and prepare a voice sample are within the built in documentation.
 ### 🟩 Other installation notes
 On first startup, AllTalk will download the Coqui XTTSv2 2.0.2 model to its **models** folder (1.8GB space required). You can customse your model or use the TTS latest model within the interface (details in documentation).
 Once the extension is loaded, please find all documentation and settings on the link provided in the interface (as shown in the screenshot below).
-To start AllTalk every Text generation webUI loads, edit the Text generation webUI `CMD_FLAGS.txt` file in the main `text-generation-webui` folder and add `--extensions alltalk_tts`.
+**Where to find voices** https://aiartes.com/voiceai or https://commons.wikimedia.org/ or interviews on youtube etc. Instructions on how to cut down and prepare a voice sample are within the built in documentation.
-### 🟪 Updating
+#### 🟩 The one thing I cant easily work around
 Messages intended for the Narrator should be enclosed in asterisks `*` and those for the character inside quotation marks `"`. However, AI systems often deviate from these rules, resulting in text that is neither in quotes nor asterisks. Sometimes, text may appear with only a single asterisk, and AI models may vary their formatting mid-conversation. For example, they might use asterisks initially and then switch to unmarked text. A properly formatted line should look like this:
 `"`Hey! I'm so excited to finally meet you. I've heard so many great things about you and I'm eager to pick your brain about computers.`"` `*`She walked across the room and picked up her cup of coffee`*`
 Most narrator/character systems switch voices upon encountering an asterisk or quotation marks, which is somewhat effective. AllTalk has undergone several revisions in its sentence splitting and identification methods. While some irregularities and AI deviations in message formatting are inevitable, any line beginning or ending with an asterisk should now be recognized as Narrator dialogue. Lines enclosed in double quotes are identified as Character dialogue. For any other text, you can choose how AllTalk handles it: whether it should be interpreted as Character or Narrator dialogue (most AI systems tend to lean more towards one format when generating text not enclosed in quotes or asterisks).
 With improvements to the splitter/processor, I'm confident it's functioning well. You can monitor what AllTalk identifies as Narrator lines on the command line and adjust its behavior if needed (Text Not Inside - Function).
 ## 🟪 Updating
 This is pretty much a repeat of the installation process. 
 1) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br>
-`cd text-generation-webui`
+`cd text-generation-webui` and start the Python environment for your OS with whichever **one** of the below is correct for your OS:<br><br>
 `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`<br>
 2) Move into your extensions and alltalk_tts folder:<br><br>
 `cd extensions` then `cd alltalk_tts`
@@ -89,20 +92,32 @@ This is pretty much a repeat of the installation process.
 3) At the command prompt/terminal, type:<br><br>
 `git pull`
-4) Install the requirements:<br><br>
+4) Install the correct requirements for your machine:<br><br>
-*Nvidia graphics card machines* - `pip install -r requirements_nvidia.txt`<br><br>
+**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
-*Other machines (mac, amd etc)* - `pip install -r requirements_other.txt`
+**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`
 #### 🟪 Updating "git pull" error
 <details>
 	<summary>Click to expand</summary><br>
 #### 🟪 **git pull error** 
 I did leave a mistake in the `/extensions/alltalk_tts/.gitignore` file at one point. If your `git pull` doesnt work, you can either follow the Problems Updating section below, or edit the `.gitignore` file and **replace its entire contents** with the below, save the file, then re-try the `git pull`<br><br>
 ```
 voices/*.*
 models/*.*
 outputs/*.*
 finetune/*.*
 config.json
 confignew.json
 models.json
 diagnostics.log
 ```
-### 🟪 Problems Updating
+</details>
 #### 🟪 Updating other problems
 <details>
 	<summary>Click to expand</summary><br>
 If you do experience any problems, the simplest method to resolve this will be:
@@ -120,108 +135,313 @@ This will download a fresh installation.
 3) Move into the **alltalk_tts** folder:<br><br>
 `cd alltalk_tts`
-4) Install the requirements:<br><br>
+4) Install the correct requirements for your machine:<br><br>
-*Nvidia graphics card machines* - `pip install -r requirements_nvidia.txt`<br><br>
+**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
-*Other machines (mac, amd etc)* - `pip install -r requirements_other.txt`
+**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`
 5) Before starting it up, copy/merge the `models`, `voices` and `outputs` folders over from the `alltalk_tts.old` folder to the newly created `alltalk_tts` folder. This will keep your voices history and also stop it re-downloading the model again.
 You can now start text-generation-webui or AllTalk (standalone) and it should start up fine. You will need to re-set any saved configuration changes on the configuration page. 
 Assuming its all working fine and you are happy, you can delete the old alltalk_tts.old folder.
 </details>
 ## 🟫 Screenshots
-|![image](https://github.com/erew123/alltalk_tts/assets/35898566/4ca9b4c7-60ce-4ac6-82e5-fd1989b84644) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/b0e13dba-c6b1-4ab7-845d-244ac1158330) |
+|![image](https://github.com/erew123/alltalk_tts/assets/35898566/15c6ba0b-e6b0-4570-8253-b920dd76174d) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db) |
 |:---:|:---:|
-|![image](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/e35e987c-543a-486b-b4fb-ee6ebe6f59c6) |
+|![image](https://github.com/erew123/alltalk_tts/assets/35898566/b0e13dba-c6b1-4ab7-845d-244ac1158330) |  ![image](https://github.com/erew123/alltalk_tts/assets/35898566/e35e987c-543a-486b-b4fb-ee6ebe6f59c6) |
 |![image](https://github.com/erew123/alltalk_tts/assets/35898566/68edc968-bdd2-4f98-9d56-b9ca40decf26) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/eb5e617b-2345-418d-8267-a9d30f705a10) |
 |![image](https://github.com/erew123/alltalk_tts/assets/35898566/4bd0f02e-298d-4e46-95ea-afc003c1cb70) |
 ## 🟨 Help with problems
 #### &nbsp;&nbsp;&nbsp;&nbsp; 🔄 **Minor updates/bug fixes list** can be found [here](https://github.com/erew123/alltalk_tts/issues/25)
 #### 🟨 How to make a diagnostics report file
 <details>
 	<summary>Click to expand</summary>
 1) Open a command prompt window, move into your **text-generation-webui** folder, you can now start the Python environment for text-generation-webui:<br><br>
 `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`
 2) Move into the **alltalk_tts** folder:<br><br>
 `cd extensions` and then `cd alltalk_tts`
 3) Run the diagnostics and select the requirements file name you installed AllTalk with:<br><br>
 `python diagnostics.py`
 4) You will have an on screen output showing your environment setttings, file versions request vs whats installed and details of your graphics card (if Nvidia). This will also create a file called `diagnostics.log` in the `alltalk_tts` folder, that you can upload if you need to create a support ticket on here.<br><br>
 ![image](https://github.com/erew123/alltalk_tts/assets/35898566/81b9a6e1-c54b-4da0-b85d-3c6fde566d6a)
 <br><br></details>
 #### 🟨 [AllTalk Startup] Warning TTS Subprocess has NOT started up yet, Will keep trying for 120 seconds maximum. Please wait. It times out after 120 seconds.
 <details>
 	<summary>Click to expand</summary><br>
 	When the subprocess is starting 2x things are occurring:<br><br>
 **A)** Its trying to load the voice model into your graphics card VRAM (assuming you have a Nvidia Graphics card, otherwise its your system RAM)<br>
 **B)** Its trying to start up the mini-webserver and send the "ready" signal back to the main process.
 Before giving other possibilities a go, some people with **old machines** are finding their startup times are **very** slow 2-3 minutes. Ive extended the allowed time within the script from 1 minute to 2 minutes. **If you have an older machine** and wish to try extending this further, you can do so by editing `script.py` and changing line 251 `timeout = 120` changing the timeout to a larger value e.g `timeout = 240` (4 minutes).
 **Note:** If you need to create a support ticket, please create a `diagnostics.log` report file to submit with a support request. Details on doing this are above.
 Other possibilities for this issue are:
 1) You are starting AllTalk in both your `CMD FLAG.txt` and `settings.yaml` file. The `CMD FLAG.txt` you would have manually edited and the `settings.yaml` is the one you change and save in the `session` tab of text-generation-webui and you can `Save UI defaults to settings.yaml`. Please only have one of those two starting up AllTalk.
 2) You are not starting text-generation-webui with its normal Python environment. Please start it with start_{your OS version} as detailed [here](https://github.com/oobabooga/text-generation-webui#how-to-install) (`start_windows.bat`,`./start_linux.sh`, `start_macos.sh` or `start_wsl.bat`) OR (`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat` and then `python server.py`).
 3) You have installed the wrong version of DeepSpeed on your system, for the wrong version of Python/Text-generation-webui. You can go to your text-generation-webui folder in a terminal/command prompt and run the correct cmd version for your OS e.g. (`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`) and then you can type `pip uninstall deepspeed` then try loading it again. If that works, please see here for the correct instructions for installing DeepSpeed [here](https://github.com/erew123/alltalk_tts#-deepspeed-installation-options). 
 4) You have an old version of text-generation-webui (pre Dec 2023) I have not tested on older versions of text-generation-webui, so cannot confirm viability on older versions. For instructions on updating the text-generation-webui, please look [here](https://github.com/oobabooga/text-generation-webui#how-to-install) (`update_linux.sh`, `update_windows.bat`, `update_macos.sh`, or `update_wsl.bat`).
 5) You already have something running on port 7851 on your computer, so the mini-webserver cant start on that port. You can change this port number by editing the `confignew.json` file and changing `"port_number": "7851"` to `"port_number": "7602"` or any port number you wish that isn’t reserved. Only change the number and save the file, do not change the formatting of the document. This will at least discount that you have something else clashing on the same port number.
 6) You have antivirus/firewalling that is blocking that port from being accessed. If you had to do something to allow text-generation-webui through your antivirus/firewall, you will have to do that for this too.
 7) You have quite old graphics drivers and may need to update them.
 8) Something within text-generation-webui is not playing nicely for some reason. You can go to your text-generation-webui folder in a terminal/command prompt and run the correct cmd version for your OS e.g. (`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`) and then you can type `python extensions\alltalk_tts\script.py` and see if AllTalk starts up correctly. If it does then something else is interfering. 
 9) Something else is already loaded into your VRAM or there is a crashed python process. Either check your task manager for erroneous Python processes or restart your machine and try again.
 10) You are running DeepSpeed on a Linux machine and although you are starting with `./start_linux.sh` AllTalk is failing there on starting. This is because text-generation-webui will overwrite some environment variables when it loads its python environment. To see if this is the problem, from a terminal go into your text-generation-webui folder and `./cmd_linux.sh` then set your environment variable again e.g. `export CUDA_HOME=/usr/local/cuda` (this may vary depending on your OS, but this is the standard one for Linux, and assuming you have installed the CUDA toolkit), then `python server.py` and see if it starts up. If you want to edit the environment permanently you can do so, I have not managed to write full instructions yet, but here is the conda guide [here](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#set-env-vars).
 11) You have built yourself a custom Python environment and something is funky with it. This is very hard to diagnose as its not a standard environment. You may want to updating text-generation-webui and re installing its requirements file (whichever one you use that comes down with text-generation-webui).
 </details>
 #### 🟨 I think AllTalks requirements file has installed something another extension doesn't like
 <details>
 	<summary>Click to expand</summary><br>
 Ive paid very close attention to **not** impact what Text-generation-webui is requesting on a factory install. This is one of the requirements of submitting an extension to Text-generation-webui. If you want to look at a comparison of a factory fresh text-generation-webui installed packages (with cuda 12.1, though AllTalk's requirements were set on cuda 11.8) you can find that comparison [here](https://github.com/erew123/alltalk_tts/issues/23). This comparison shows that AllTalk is requesting the same package version numbers as Text-generation-webui or even lower version numbers (meaning AllTalk will not update them to a later version). What other extensions do, I cant really account for that.
 I will note that the TTS engine downgrades Pandas data validator to 1.5.3 though its unlikely to cause any issues. You can upgrade it back to text-generation-webui default (december 2023) with `pip install pandas==2.1.4` when inside of the python environment. I have noticed no ill effects from it being a lower or higher version, as far as AllTalk goes. This is also the same behaviour as the Coqui_tts extension that comes with Text-generation-webui.
 Other people are reporting issues with extensions not starting with errors about Pydantic e.g. ```pydantic.errors.PydanticImportError: BaseSettings` has been moved to the pydantic-settings package. See https://docs.pydantic.dev/2.5/migration/#basesettings-has-moved-to-pydantic-settings for more details.```
 Im not sure if the Pydantic version has been recently updated by the Text-generation-webui installer, but this is nothing to do with AllTalk. The other extension you are having an issue with, need to be updated to work with Pydantic 2.5.x. AllTalk was updated in mid december to work with 2.5.x. I am not specifically condoning doing this, as it may have other knock on effects, but within the text-gen Python environment, you can use `pip install pydantic==2.5.0` or `pip install pydantic==1.10.13` to change the version of Pydantic installed.
 </details>
 #### 🟨 I activated DeepSpeed in the settings page, but I didnt install DeepSpeed yet and now I have issues starting up
 <details>
 	<summary>Click to expand</summary><br>
-You can either follow the [Problems Updating](https://github.com/erew123/alltalk_tts#-problems-updating) and fresh install your config. Or you can edit the `confignew.json` file within the `alltalk_tts` folder. You would look for '"deepspeed_activate": true,' and change the word true to false `"deepspeed_activate": false,' ,then save the file and try starting again.
+You can either follow the [Problems Updating](https://github.com/erew123/alltalk_tts#-problems-updating) and fresh install your config. Or you can edit the `confignew.json` file within the `alltalk_tts` folder. You would look for '"deepspeed_activate": true,' and change the word true to false `"deepspeed_activate": false,' ,then save the file and try starting again.<br><br>
-If you want to use DeepSpeed, you need an Nvidia Graphics card and to install DeepSpeed on your system. Instructions are [here](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options).
+If you want to use DeepSpeed, you need an Nvidia Graphics card and to install DeepSpeed on your system. Instructions are [here](https://github.com/erew123/alltalk_tts#-deepspeed-installation-options)
 </details>
 #### 🟨 I am having problems updating/some other issue where it wont start up/Im sure this is a bug
 <details>
 	<summary>Click to expand</summary><br>
 Please see [Problems Updating](https://github.com/erew123/alltalk_tts#-problems-updating). If that doesnt help you can raise an ticket [here](https://github.com/erew123/alltalk_tts/issues). It would be handy to have any log files from the console where your error is being shown. I can only losely support custom built Python environments and give general pointers. Please create a `diagnostics.log` report file to submit with a support request.<br><br>
 Also, is your text-generation-webui up to date? [instructions here](https://github.com/oobabooga/text-generation-webui?tab=readme-ov-file#how-to-install)
 </details>
 #### 🟨 I am having problems getting AllTalk to start after changing settings or making a custom setup/model setup.
 <details>
 	<summary>Click to expand</summary><br>
 I would suggest following [Problems Updating](https://github.com/erew123/alltalk_tts#-problems-updating) and if you still have issues after that, you can raise an issue [here](https://github.com/erew123/alltalk_tts/issues)
 </details>
 #### 🟨 I see some red "asyncio" messages
 <details>
 	<summary>Click to expand</summary><br>
 As far as I am aware, these are to do with the chrome browser the gradio text-generation-webui in some way. I raised an issue about this on the text-generation-webui [here](https://github.com/oobabooga/text-generation-webui/issues/4788) where you can see that AllTalk is not loaded and the messages persist. Either way, this is more a warning than an actual issue, so shouldnt affect any functionality of either AllTalk or text-generation-webui, they are more just an annoyance.
 </details>
-#### 🟨 I am having problems updating/some other issue where it wont start up/Im sure this is a bug
+#### 🟨 I have multiple GPU's and I have problems running Finetuning
-Please see [Problems Updating](https://github.com/erew123/alltalk_tts#-problems-updating). If that doesnt help you can raise an ticket [here](https://github.com/erew123/alltalk_tts/issues). It would be handy to have any log files from the console where your error is being shown. I can only losely support custom built Python environments and give general pointers.
+<details>
 	<summary>Click to expand</summary><br>
-Also, is your text-generation-webui up to date? [instructions here](https://github.com/oobabooga/text-generation-webui?tab=readme-ov-file#how-to-install)
+Finetuning pulls in various other scripts and some of those scripts can have issues with multiple Nvidia GPU's being present. Until the people that created those other scripts fix up their code, there is a workaround to temporarily tell your system to only use the 1x of your Nvidia GPU's. To do this:
 - **Windows** - You will start the script with `set CUDA_VISIBLE_DEVICES=0 && python finetune.py`<br>
 After you have completed training, you can reset back with `set CUDA_VISIBLE_DEVICES=`<br>
 - **Linux** - You will start the script with `CUDA_VISIBLE_DEVICES=0 python finetune.py`<br>
 After you have completed training, you can reset back with `unset CUDA_VISIBLE_DEVICES`<br>
 Rebooting your system will also unset this. The setting is only applied temporarily.
 Depending on which of your Nvidia GPU's is the more powerful one, you can change the `0` to `1` or whichever of your GPU's is the most powerful.
 </details>
 ## ⚫ Finetuning a model
 If you have a voice that the model doesnt quite reproduce correctly, or indeed you just want to improve the reproduced voice, then finetuning is a way to train your "XTTSv2 local" model **(stored in `/alltalk_tts/models/xxxxx/`)** on a specific voice. For this you will need:
 - An Nvidia graphics card. (Please see this [note](https://github.com/erew123/alltalk_tts#-i-have-multiple-gpus-and-i-have-problems-running-finetuning) if you have multiple Nvidia GPU's).
 - To install a few portions of the Nvidia CUDA 11.8 Toolkit (this will not impact text-generation-webui's cuda setup.
 - 18GB of disk space free (most of this is used temporarily)
 - At least 2 minutes of good quality speech from your chosen speaker in mp3, wav or flacc format, in one or more files (have tested as far as 20 minutes worth of audio).
 #### ⚫ How will this work/How complicated is it?
 Everything has been done to make this as simple as possible. At its simplest, you can literally just download a large chunk of audio from an interview, and tell the finetuning to strip through it, find spoken parts and build your dataset. You can literally click 4 buttons, then copy a few files and you are done. At it's more complicated end you will clean up the audio a little beforehand, but its still only 4x buttons and copying a few files.
 #### ⚫ The audio you will use
 I would suggest that if its in an interview format, you cut out the interviewer speaking in audacity or your chosen audio editing package. You dont have to worry about being perfect with your cuts, the finetuning Step 1 will go and find spoken audio and cut it out for you. Is there is music over the spoken parts, for best quality you would cut out those parts, though its not 100% necessary. As always, try to avoid bad quality audio with noises in it (humming sounds, hiss etc). You can try something like [Audioenhancer](https://audioenhancer.ai/) to try clean up noisier audio. There is no need to down-sample any of the audio, all of that is handled for you. Just give the finetuning some good quality audio to work with. 
 #### ⚫ Important requirements CUDA 11.8
 As mentioned you must have a small portion of the Nvidia CUDA Toolkit **11.8** installed. Not higher or lower versions. Specifically **11.8**. You do not have to uninstall any other versions, change any graphics drivers, reinstall torch or anything like that. To keep the download+install as small as possible, you will need to:
 - Download the **xxx (network)** install of the Nvidia Cuda Toolkit 11.8 from [here](https://developer.nvidia.com/cuda-11-8-0-download-archive)
 - Run the installer. At minimum, you need to [minimally] install the `nvcc` compiler and the `CUBLAS` development and runtime libraries:
  - Select **Custom Advanced** as your installation type.
  - Uncheck all the checkboxes in the list.
  - Now check the following elements:
    - `CUDA` > `Development` > `Compiler` > `nvcc`
    - `CUDA` > `Development` > `Compiler` > `Libraries` > `CUBLAS`
    - `CUDA` > `Runtime` > `Libraries` > `CUBLAS`
  - You can now proceed through the install.
 - When that has installed, open a terminal/command prompt and type `nvcc --version`. If it reports back `Cuda compilation tools, release 11.8.` you are good to go. **Specifically, 11.8**. If not continue to the next step.
 - For both Windows and Linux, you need to ensure that `nvcc` and the 11.8 cuda library files are in your environments search path. You can undo the changes below after finetuning if you prefer:
  - **Windows**: Edit the Windows `Path` environment variable and add `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin`
  - **Linux**: The path may be different depending on what flavour of Linux you are running, so you may need to seek out specific instructions on the internet. Generic paths **may** be:
    - `export LD_LIBRARY_PATH=/usr/local/cuda-11.8/lib64:${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}` and
    - `export LD_LIBRARY_PATH=/usr/local/cuda-11.8/bin`
    - Add these to your '~/.bashrc' if you want this to be permanent and not something you have to set each time you open a new terminal.
 - When you have made the changes, open a **new** terminal/command prompt (in order to load the new search paths) and `nvcc --version`. It should report back `Cuda compilation tools, release 11.8.` at which point, you are good to go.
 - If it doesn't report that, check you have correctly set the search environment paths, dont have overlapping other versions of cuda paths etc.
 #### ⚫ Starting Finetuning
 **NOTE:** Please make sure you have started AllTalk at least once after updating, so that it downloads the additional files needed for finetuning. 
 1) Close all other applications that are using your GPU/VRAM and copy your audio samples into:<br><br>
   `/alltalk_tts/finetune/put-voice-samples-in-here/`
 3) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br>
 `cd text-generation-webui`
 4) Start the Text generation webUI Python environment for your OS:<br><br>
 `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`
 5) You can double check your search path environment still works correctly with `nvcc --version`. It should report back 11.8:<br><br>
   `Cuda compilation tools, release 11.8.`
 7) Move into your extensions folder:<br><br>
 `cd extensions`
 8) Move into the **alltalk_tts** folder:<br><br>
 `cd alltalk_tts`
 9) Install the finetune requirements file: `pip install -r requirements_finetune.txt`
 10) Type `python finetune.py` and it should start up.
 11) Follow the on-screen instructions when the web interface starts up.
 12) When you have finished finetuning, the final tab will tell you what to do with your files and how to move your newly trained model to the correct location on disk.
 #### ⚫ Using a Finetuned model in Text-generation-webui
 At the end of the finetune process, you will have an option to `Compact and move model to /trainedmodel/` this will compact the raw training file and move it to `/model/trainedmodel/`. When AllTalk starts up within Text-generation-webui, if it finds a model in this location a new loader will appear in the interface for `XTTSv2 FT` and you can use this to load your finetuned model. <br><br>**Be careful** not to train a new model from the base model, then overwrite your current `/model/trainedmodel/` **if** you want a seperately trained model. This is why there is an `OPTION B` to move your just trained model to `/models/lastfinetuned/`.
 #### ⚫ Training one model with multiple voices
 At the end of the finetune process, you will have an option to `Compact and move model to /trainedmodel/` this will compact the raw training file and move it to `/model/trainedmodel/`. This model will become available when you start up finetuning. You will have a choice to train the Base Model or the `Existing finetuned model` (which is the one in `/model/trainedmodel/`). So you can use this to keep further training this model with additional voices, then copying it back to `/model/trainedmodel/` at the end of training.
 #### ⚫ Do I need to keep the raw training data/model?
 If you've compacted and moved your model, its highly unlikely you would want to keep that data, however the choice is there to keep it if you wish. It will be between 5-10GB in size, so most people will want to delete it.
 ## 🔵🟢🟡 DeepSpeed Installation Options
-### 🔵 For Linux
+**NOTE**: You **DO NOT** need to set Text-generation-webUI's **--deepspeed** setting for AllTalk to be able to use DeepSpeed. These are two completely separate things and incorrectly setting that on Text-generation-webUI may cause other complications.
 #### 🔵 Linux Installation
 <details>
 	<summary>Click to expand: Linux DeepSpeed installation</summary>
 ➡️DeepSpeed requires an Nvidia Graphics card!⬅️
-Covered in the online/buit-in documentation, but a nice easy install.
+1) Preferably use your built in package manager to install CUDA tools. Alternatively download and install the Nvidia Cuda Toolkit for Linux [Nvidia Cuda Toolkit 11.8 or 12.1](https://developer.nvidia.com/cuda-toolkit-archive)<br><br>
 2) Open a terminal console.<br><br>
 3) Install libaio-dev (however your Linux version installs things) e.g. `sudo apt install libaio-dev`<br><br>
 4) Move into your Text generation webUI folder e.g. `cd text-generation-webui`<br><br>
 5) Start the Text generation webUI Python environment `./cmd_linux.sh`<br><br>
 6) Text generation webUI **overwrites** the **CUDA_HOME** environment variable each time you `./cmd_linux.sh` or `./start_linux.sh`, so you will need to either permanently change within the python environment OR set CUDA_HOME it each time you `./cmd_linux.sh`. Details to change it each time are on the next step. Below is a link to Conda's manual and changing environment variables permanently though its possible changing it permanently could affect other extensions, you would have to test.<br> <br>
 [Conda manual - Environment variables](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#set-env-vars)<br><br>
 7) You can temporarily set the **CUDA_HOME** environment with (Standard paths on Ubuntu, but could vary on other Linux flavours):<br><br>
 `export CUDA_HOME=/etc/alternatives/cuda`<br><br>
 **every** time you run `./cmd_linux.sh`.<br> <br>
 If you try to start DeepSpeed with the CUDA_HOME path set incorrectly, expect an error similar to `[Errno 2] No such file or directory: /home/yourname/text-generation-webui/installer_files/env/bin/nvcc`<br> <br>
 9) Now install deepspeed with pip install deepspeed<br><br>
 10) You can now start Text generation webUI `python server.py` ensuring to activate your extensions.<br><br>
 Just to reiterate, starting Text-generation-webUI with `./start_linux.sh` will overwrite the CUDA_HOME variable unless you have permanently changed it, hence always starting it with `./cmd_linux.sh` **then** setting the environment variable manually (step 7) and **then** `python server.py`, which is how you would need to run it each time, unless you permanently set the environment variable for CUDA_HOME within Text-generation-webUI's standard Python environment.
 <br><br>
 **Removal** - If it became necessary to uninstall DeepSpeed, you can do so with `./cmd_linux.sh` and then `pip uninstall deepspeed`<br><br>
 </details>
-### 🟢🟡 For Windows & Python 3.11.x or 3.10.x
+#### 🟢🟡 Windows Installation
-DeepSpeed v11.1 and v11.2 will work on the current text-generation-webui Python 3.11 environment! You have 2x options for how to setup DeepSpeed on Windows. A quick way (🟢Option 1) and a long way (🟡Option 2).
+DeepSpeed v11.2 will work on the current default text-generation-webui Python 3.11 environment! You have 2x options for how to setup DeepSpeed on Windows. A quick way (🟢Option 1) and a long way (🟡Option 2).
 Thanks to [@S95Sedan](https://github.com/S95Sedan) - They managed to get DeepSpeed 11.2 working on Windows via making some edits to the original Microsoft DeepSpeed v11.2 installation. The original post is [here](https://github.com/oobabooga/text-generation-webui/issues/4734#issuecomment-1843984142).
 #### 🟢 OPTION 1 - Quick and easy!
-#### Pre-Compiled Wheel Deepspeed v11.1 (for Windows and Python 3.11) 
+<details>
-➡️DeepSpeed requires an Nvidia Graphics card!⬅️
+	<summary>Click to expand: Pre-Compiled Wheel Deepspeed v11.2 (Python 3.11 and 3.10)</summary>
-
+➡️DeepSpeed requires an Nvidia Graphics card!⬅️<br>
 **Note:** In my tests, with this method you will **not** need to install the Nvidia CUDA toolkit to make this work, but AllTalk may warn you when starting DeepSpeed that it doesnt see the CUDA Toolkit, however, it works fine for TTS purposes.
 1) Download the correct wheel version for your Python/Cuda from [here](https://github.com/erew123/alltalk_tts/releases/tag/deepspeed) and save the file it inside your **text-generation-webui** folder.
 2) Open a command prompt window, move into your **text-generation-webui folder**, you can now start the Python environment for text-generation-webui:<br><br>
 `cmd_windows.bat`
-3) With the file that you saved in the **text-generation-webui folder** you now type the following:<br><br>
+3) With the file that you saved in the **text-generation-webui folder** you now type the following, replacing YOUR-VERSION with the name of the file you have:<br><br>
-`pip install "deepspeed-0.11.1+e9503fe-cp311-cp311-win_amd64.whl"`
+`pip install "deepspeed-0.11.2+YOUR-VERSION-win_amd64.whl"`
-5) This should install through cleanly and you should now have DeepSpeed v11.1 installed within the Python 3.11 environment of text-generation-webui.
+5) This should install through cleanly and you should now have DeepSpeed v11.2 installed within the Python 3.11/3.10 environment of text-generation-webui.
 6) When you start up text-generation-webui, and AllTalk starts, you should see **[AllTalk Startup] DeepSpeed Detected**
 7) Within AllTalk, you will now have a checkbox for **Activate DeepSpeed** though remember you can only change **1x setting every 15 or so seconds**, so dont try to activate DeepSpeed **and** LowVRAM/Change your model simultantiously. Do one of those, wait 15-20 seconds until the change is confirmed in the terminal/command prompt, then you can change the other. When you are happy it works, you can set the default start-up settings in the settings page.
 <br><br>
 **Removal** - If it became necessary to uninstall DeepSpeed, you can do so with `cmd_windows.bat` and then `pip uninstall deepspeed`<br><br>
 </details>
 #### 🟡 OPTION 2 - A bit more complicated!
-#### Manual Build DeepSpeed v11.2 (for Windows and Python 3.11) 
+<details>
-➡️DeepSpeed requires an Nvidia Graphics card!⬅️
+	<summary>Click to expand: Manual Build DeepSpeed v11.2 (Python 3.11 and 3.10)</summary>
 ➡️DeepSpeed requires an Nvidia Graphics card!⬅️<br><br>
-DeepSpeed Version 11.2 with CUDA 11.8 or 12.1 - Installation Instructions:
+This will take about 1 hour to complete and about 6GB of disk space.<br>
 1. Download the 11.2 release of [DeepSpeed](https://github.com/microsoft/DeepSpeed/releases/tag/v0.11.2) extract it to a folder. 
 2. Install Visual C++ build tools, such as [VS2019 C++ x64/x86](https://learn.microsoft.com/en-us/visualstudio/releases/2019/redistribution#vs2019-download) build tools.
 3. Download and install the [Nvidia Cuda Toolkit 11.8 or 12.1](https://developer.nvidia.com/cuda-toolkit-archive)
-4. OPTIONAL If you do not have an python environment already created, you can install [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html), then at a command prompt, create and activate your environment with:<br><br>
+4. **OPTIONAL** If you do not have an python environment already created and you are **not** going to use Text-generation-webui's environment, you can install [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html), then at a command prompt, create and activate your environment with:<br><br>
 ```conda create -n pythonenv python=3.11```<br>
-```activate pythonenv```<br><br>
+```activate pythonenv```<br>
 If you are using the **text-generation-webui** python environment, then in the `text-generation-webui` folder you will run `cmd_windows.bat` to start the python evnironment.<br>
 5. Launch the Command Prompt cmd with Administrator privilege as it requires admin to allow creating symlink folders.
-6. Install PyTorch, 2.1.0 with CUDA 12.1 into your Python 3.11 environment e.g:<br><br>
+6. If you are using the **Text-generation-webui** python environment, then in the `text-generation-webui` folder you will run `cmd_windows.bat` to start the python evnironment.<br><br>
 Otherwise Install PyTorch, 2.1.0 with CUDA 11.8 or 12.1 into your Python 3.1x.x environment e.g:<br><br>
 ```activate pythonenv``` (activate your python environment)<br>
 ```conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=12.1 -c pytorch -c nvidia```<br>
 or<br>
 ```conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=11.8 -c pytorch -c nvidia```<br>
-7. Edit your Windows environment variables to ensure that CUDA_HOME and CUDA_PATH are set to your Nvidia Cuda Toolkit path. (The folder above the bin folder that nvcc.exe is installed in). Examples are:<br><br>
+
 9. Set your CUDA Windows environment variables in the command prompt to ensure that CUDA_HOME and CUDA_PATH are set to your Nvidia Cuda Toolkit path. (The folder above the bin folder that nvcc.exe is installed in). Examples are:<br><br>
 ```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<br>
 ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<br>
-rr<br>
+or<br>
 ```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<br>
 ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<br>
-8. Navigate to your deepspeed folder in the Command Prompt:<br><br>
+10. Navigate to wherever you extracted the deepspeed folder in the Command Prompt:<br><br>
-```cd c:\deepspeed``` (wherever you extracted it to)
+```cd c:\DeepSpeed-0.11.2``` (wherever you extracted it to)
-9. Modify the following files:<br>
+11. Modify the following files:<br>
-**(These modified files are included in the git-pull of AllTalk, in the DeepSpeed Windows folder but if you want to modify them yourself, please follow the below)**<br>
+**(These modified files are included in the git-pull of AllTalk, in the DeepSpeed Windows folder and so can just be copied over the top of the exsting folders/files, but if you want to modify them yourself, please follow the below)**<br>
-deepspeed-0.11.2/build_win.bat** - at the top of the file, add:<br><br>
+deepspeed-0.11.2/build_win.bat - at the top of the file, add:<br><br>
 ```set DS_BUILD_EVOFORMER_ATTN=0```
 deepspeed-0.11.2/csrc/quantization/pt_binding.cpp - lines 244-250 - change to:
@@ -281,11 +501,254 @@ def get_shm_size():
 ```build_win.bat``` and wait 10-20 minutes.
 11. Now `cd dist` to go into your dist folder and you can now `pip install deepspeed-YOURFILENAME.whl` (or whatever your WHL file is called).
 <br><br>
 **Removal** - If it became necessary to uninstall DeepSpeed, you can do so with `cmd_windows.bat` and then `pip uninstall deepspeed`<br><br>
 </details>
 ## 🟦 Running AllTalk as a standalone app
 AllTalk will run as a standalone app, as long as you install its requirements files into whatever Python environment you are using. You can follow the steps to install the AllTalk's requirements into whatever Python environment you wish. Because I dont know what Python environment you are wanting to use, I can only give you a loose set of installation instructions. 
 Please note, at time of writing, the TTS engine requires Python **3.9.x** to **3.11.x** [TTS Engine details here](https://pypi.org/project/TTS/). AllTalk and its requirements are tested on Python **3.11.x**.
 #### 🟦 (Option 1) I already have AllTalk installed as an extension of Text-generation-webui
 If you already have AllTalk as a extension of Text-generation-webui, and wish to run it as standalone, load Text-generation-webui's Python environment `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`, move into the AllTalk folder `cd extensions` > `cd alltalk_tts` and start AllTalk with `python script.py`. There is nothing beyond this you would need to do.
 #### 🟦 (Option 2) I wish to do a custom install of AllTalk
 #### 🔹 A very quick understanding of Python Environments.
 Different Python applications have different requirements, some of those requirement’s conflict with other Python applications requirements. To work around this problem, you can create different Python environments that remain separated from one another. A simple way of looking at Python environments, is just like how your house has different rooms for specific purposes (Kitchen, Bathroom, Bedroom etc). You can create a Python environment that is built/customised specifically for your current applications needs/purposes and will **not** interfere with any other Python applications environments/installations. <br><br>If you are adept at managing Python environments, have an existing Python environment and know that you won’t cause any conflicts by installing AllTalk's requirements within that Python environment, then load up your Python environment and install the requirements. For everyone else, here is a basic guide on installing AllTalk in its own custom Python environment (there will be small variations between OS's, but the principle is the same).
 **Note:** A standard VENV can cause module path issues, hence Conda is the correct method to create a Python environment for AllTalk. 
 #### 🔹 Building a custom Python Environment with Miniconda
 1) Open a terminal/command prompt, and confirm that both `python --version` and `pip` both work. Neither of them should give an error message. If they do you may need to install Python (and maybe Pip).<br><br>[Python Website](https://www.python.org/downloads/)<br>[Pip Website](https://pip.pypa.io/en/stable/installation/)<br><br>Once you have those working you can now continue on.<br><br>
 2) Assuming you don't already have Miniconda installed, we will need to download and install Minoconda as this is what we will use to build our custom Python environment.<br><br>[Miniconda Website](https://docs.conda.io/projects/miniconda/en/latest/)<br><br>Download the Miniconda version that is correct for your OS and then install it. Miniconda will create some items in your Start Menu or Application Launcher called something like `Anaconda Prompt`<br><br> You will start the `Anaconda Prompt` and your prompt in your terminal/command prompt will say something like: <br><br>`(base) C:\users\myaccount\>`<br><br> The important bit is that it has the `(base)`, the location after that doesn't matter. `(base)` signifies we are in the base conda Python environment and can now create custom Python environments with Conda.<br><br>
 3) In your Anaconda Prompt command prompt/terminal, move into the folder where you want to download AllTalk to and then git clone this repository. For simplicity I am going to assume that location is `c:\myfiles\`. So you will:<br><br>`cd myfiles`<br><br>`git clone https://github.com/erew123/alltalk_tts`<br><br>
 4) Now we will create our custom Conda Python 3.11.5 environment and give it the name alltalkenv by typing the following at the prompt:<br><br>`conda create --name alltalkenv python=3.11.5`<br><br>You will be prompted if you want to continue and you say yes.<br><br>Once that process has completed, we now need to change from the `(base)` Conda Python environment, to our newly created `(alltalkenv)` environment. So type the following:<br><br>`conda activate alltalkenv`<br><br>Your prompt should now change from `(base) C:\myfiles\>` to `(alltalkenv) C:\myfiles\>`<br><br>
 5) **If you are NOT using an Nvidia card and CUDA, skip to step 6**. To force PyTorch to install with CUDA, perform the following:<br><br>`pip cache purge` (Clear the current Pip cache)<br><br>`pip uninstall torch torchaudio` (Uninstall Torch and Torchaudio from the `alltalkenv` environment)<br><br>
 You can now either install the CUDA 11.8 or 12.1 version of Torch and Torchaudio with **one** of the following<br><br>**CUDA 11.8** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`<br><br>**CUDA 12.1** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121`<br><br>
 6) Move into the alltalk_tts folder and install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br>`cd alltalk_tts`<br><br>
 **Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
 **Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`<br><br>
 7) Start AllTalk with `python script.py`<br><br>
 🔹Anytime you wish to use AllTalk, update its requirements, install some other requirements such as DeepSpeed, you will need to start its Conda Python Environment in the terminal/prompt, which you will do with `conda activate alltalkenv` as long as the Conda executable is accessible at the command prompt/terminal you are in.<br><br>It is fully possible to create a batch file or script file that you can use as a launcher from your Start Menu/Application Launcher that will start the environment and AllTalk for you. 
 Deepspeed and other such things can be installed. Please read the relevant instructions for those items, however, make the relevant changes to load your correct Python environment when installing any requirements files and starting AllTalk.<br><br>
 ## ⬜ AllTalk TTS Generator
 AllTalk TTS Generator is the solution for converting large volumes of text into speech using the voice of your choice. Whether you're creating audio content or just want to hear text read aloud, the TTS Generator is equipped to handle it all efficiently.<br><br>The link to open the TTS generator can be found on the built-in Settings and Documentation page. 
 #### ⬜ Quick Start
 - **Text Input:** Enter the text you wish to convert into speech in the 'Text Input' box.
 - **Generate TTS:** Hit this to start the text-to-speech conversion.
 - **Pause/Resume:** Used to pause and resume the playback of the initial generation of wavs or the stream.
 - **Stop Playback:** This will stop the current audio playing back. It does not stop the text from being generated however. 
 Once you have sent text off to be generated, either as a stream or wav file generation, the TTS server will remain busy until this process has competed. As such, think carefully as to how much you want to send to the server. 
 If you are generating wav files and populating the queue, you can generate one lot of text to speech, then input your next lot of text and it will continue adding to the list.
 #### ⬜ TTS Generation Modes
 - **Wav Chunks:** Perfect for creating audio books, or anything you want to keep long term. Breaks down your text into manageable wav files and queues them up. Generation begins automatically, and playback will start after a few chunks have been prepared ahead. You can set the volume to 0 if you don’t want to hear playback. With Wav chunks, you can edit and/or regenerate portions of the TTS as needed.
 - **Streaming:** For immediate playback without the ability to save. Ideal for on-the-fly speech generation and listening. This will not generate wav files and it will play back through your browser. You cannot stop the server generating the TTS once it has been sent.
 With wav chunks you can either playback “In Browser” which is the web page you are on, or “On Server” which is through the console/terminal where AllTalk is running from. Only generation “In Browser” can play back smoothly and populate the Generated TTS List. Setting the Volume will affect the volume level played back both “In Browser” and “On Server”.
 #### ⬜ Playback and List Management
 - **Playback Controls:** Utilize 'Play List' to start from the beginning or 'Stop Playback' to halt at any time.
 - **Custom Start:** Jump into your list at a specific ID to hear a particular section.
 - **Regeneration and Editing:** If a chunk isn't quite right, you can opt to regenerate it or edit the text directly. Click off the text to save changes and hit regenerate for the specific line.
 - **Export/Import List:** Save your TTS list as a JSON file or import one. Note: Existing wav files are needed for playback. Exporting is handy if you want to take your files away into another program and have a list of which wav is which, or if you keep your audio files, but want to come back at a later date, edit one or two lines, regenerate the speech and re-combine the wav’s into one new long wav.
 #### ⬜ Exporting Your Audio
 - **Export to WAV:** Combine all generated TTS from the list, into one single WAV file for easy download and distribution.
 #### ⬜ Customization and Preferences
 - **Character Voice:** Choose the voice that will read your text.
 - **Language:** Select the language of your text.
 - **Chunk Sizes:** Decide the size of text chunks for generation. Smaller sizes are recommended for better TTS quality.
 #### ⬜ Interface and Accessibility
 - **Dark/Light Mode:** Switch between themes for your visual comfort.
 - **Word Count and Generation Queue:** Keep track of the word count and the generation progress.
 #### ⬜ Notes on Usage
 - For seamless TTS generation, it's advised to keep text chunks under 250 characters, which you can control with the Chunk sizes.
 - Generated audio can be played back from the list, which also highlights the currently playing chunk.
 - The TTS Generator remembers your settings, so you can pick up where you left off even after refreshing the page.
 ## 🟠 API Suite and JSON-CURL
 ### 🟠Overview
 The Text-to-Speech (TTS) Generation API allows you to generate speech from text input using various configuration options. This API supports both character and narrator voices, providing flexibility for creating dynamic and engaging audio content.
 #### 🟠 Ready Endpoint<br>
 Check if the Text-to-Speech (TTS) service is ready to accept requests.
 - URL: `http://127.0.0.1:7851/api/ready`<br> - Method: `GET`<br> 
   `curl -X GET "http://127.0.0.1:7851/api/ready"`
  Response: `Ready`
 #### 🟠 Voices List Endpoint<br>
 Retrieve a list of available voices for generating speech.
 - URL: `http://127.0.0.1:7851/api/voices`<br> - Method: `GET`<br>
   `curl -X GET "http://127.0.0.1:7851/api/voices"`
   JSON return: `{"voices": ["voice1.wav", "voice2.wav", "voice3.wav"]}`
 #### 🟠 Preview Voice Endpoint
 Generate a preview of a specified voice with hardcoded settings.
 - URL: `http://127.0.0.1:7851/api/previewvoice/`<br> - Method: `POST`<br> - Content-Type: `application/x-www-form-urlencoded`<br>
   `curl -X POST "http://127.0.0.1:7851/api/previewvoice/" -F "voice=female_01.wav"`
   Replace `female_01.wav` with the name of the voice sample you want to hear.
   JSON return: `{"status": "generate-success", "output_file_path": "/path/to/outputs/api_preview_voice.wav", "output_file_url": "http://127.0.0.1:7851/audio/api_preview_voice.wav"}`
 #### 🟠 Switching Model Endpoint<br>
 - URL: `http://127.0.0.1:7851/api/reload`<br> - Method: `POST`<br><br>
   `curl -X POST "http://127.0.0.1:7851/api/reload?tts_method=API%20Local"`<br>
   `curl -X POST "http://127.0.0.1:7851/api/reload?tts_method=API%20TTS"`<br>
   `curl -X POST "http://127.0.0.1:7851/api/reload?tts_method=XTTSv2%20Local"`<br>
   Switch between the 3 models respectively.
   `curl -X POST "http://127.0.0.1:7851/api/reload?tts_method=XTTSv2%20FT"`<br>
   If you have a finetuned model in `/models/trainedmodel/` (will error otherwise)
   JSON return `{"status": "model-success"}`
 #### 🟠 Switch DeepSpeed Endpoint<br>
 - URL: `http://127.0.0.1:7851/api/deepspeed`<br> - Method: `POST`<br><br>
   `curl -X POST "http://127.0.0.1:7851/api/deepspeed?new_deepspeed_value=True"`
   Replace True with False to disable DeepSpeed mode.
   JSON return `{"status": "deepspeed-success"}`
 #### 🟠 Switching Low VRAM Endpoint<br>
 - URL: `http://127.0.0.1:7851/api/lowvramsetting`<br> - Method: `POST`<br><br>
   `curl -X POST "http://127.0.0.1:7851/api/lowvramsetting?new_low_vram_value=True"`
   Replace True with False to disable Low VRAM mode.
   JSON return `{"status": "lowvram-success"}`
 ### 🟠 TTS Generation Endpoint
 - URL: `http://127.0.0.1:7851/api/tts-generate`<br> - Method: `POST`<br> - Content-Type: `application/x-www-form-urlencoded`<br>
 ### 🟠 Example command lines
 Standard TTS speech Example (standard text) generating a time-stamped file<br>
 `curl -X POST "http://127.0.0.1:7851/api/tts-generate" -d "text_input=All of this is text spoken by the character. This is text not inside quotes, though that doesnt matter in the slightest" -d "text_filtering=standard" -d "character_voice_gen=female_01.wav" -d "narrator_enabled=false" -d "narrator_voice_gen=male_01.wav" -d "text_not_inside=character" -d "language=en" -d "output_file_name=myoutputfile" -d "output_file_timestamp=true" -d "autoplay=true" -d "autoplay_volume=0.8"`<br>
 Narrator Example (standard text) generating a time-stamped file
 `curl -X POST "http://127.0.0.1:7851/api/tts-generate" -d "text_input=*This is text spoken by the narrator* \"This is text spoken by the character\". This is text not inside quotes." -d "text_filtering=standard" -d "character_voice_gen=female_01.wav" -d "narrator_enabled=true" -d "narrator_voice_gen=male_01.wav" -d "text_not_inside=character" -d "language=en" -d "output_file_name=myoutputfile" -d "output_file_timestamp=true" -d "autoplay=true" -d "autoplay_volume=0.8"`<br>
 Note that if your text that needs to be generated contains double quotes you will need to escape them with `\"` (Please see the narrator example).
 ### 🟠 Request Parameters
 🟠 **text_input**: The text you want the TTS engine to produce. Use escaped double quotes for character speech and asterisks for narrator speech if using the narrator function. Example:
 `-d "text_input=*This is text spoken by the narrator* \"This is text spoken by the character\". This is text not inside quotes."`
 🟠 **text_filtering**: Filter for text. Options:
 - **none** No filtering. Whatever is sent will go over to the TTS engine as raw text, which may result in some odd sounds with some special characters.<br>
 - **standard** Human-readable text and a basic level of filtering, just to clean up some special characters.<br>
 - **html** HTML content. Where you are using HTML entity's like &quot;<br>
 `-d "text_filtering=none"`<br>
 `-d "text_filtering=standard"`<br>
 `-d "text_filtering=html"`<br>
 Example:
 - **Standard Example**: `*This is text spoken by the narrator* "This is text spoken by the character" This is text not inside quotes.`<br>
 - **HTML Example**: `&ast;This is text spoken by the narrator&ast; &quot;This is text spoken by the character&quot; This is text not inside quotes.`<br>
 - **None**: `Will just pass whatever characters/text you send at it.`<br>
 🟠 **character_voice_gen**: The WAV file name for the character's voice.<br>
 `-d "character_voice_gen=female_01.wav"`
 🟠 **narrator_enabled**: Enable or disable the narrator function. If true, minimum text filtering is set to standard. Anything between double quotes is considered the character's speech, and anything between asterisks is considered the narrator's speech.
 `-d "narrator_enabled=true"`<br>
 `-d "narrator_enabled=false"` 
 🟠 **narrator_voice_gen**: The WAV file name for the narrator's voice.
 `-d "narrator_voice_gen=male_01.wav"`
 🟠 **text_not_inside**: Specify the handling of lines not inside double quotes or asterisks, for the narrator feature. Options:
 - **character**: Treat as character speech.<br>
 - **narrator**: Treat as narrator speech.<br>
 `-d "text_not_inside=character"`<br>
 `-d "text_not_inside=narrator"`
 🟠 **language**: Choose the language for TTS. Options:
 `ar` Arabic<br>
 `zh-cn` Chinese (Simplified)<br>
 `cs` Czech<br>
 `nl` Dutch<br>
 `en` English<br>
 `fr` French<br>
 `de` German<br>
 `hu` Hungarian<br>
 `it` Italian<br>
 `ja` Japanese<br>
 `ko` Korean<br>
 `pl` Polish<br>
 `pt` Portuguese<br>
 `ru` Russian<br>
 `es` Spanish<br>
 `tr` Turkish<br>
 `-d "language=en"`<br>
 🟠 **output_file_name**: The name of the output file (excluding the .wav extension).
 `-d "output_file_name=myoutputfile"`<br>
 🟠 **output_file_timestamp**: Add a timestamp to the output file name. If true, each file will have a unique timestamp; otherwise, the same file name will be overwritten each time you generate TTS.
 `-d "output_file_timestamp=true"`<br>
 `-d "output_file_timestamp=false"`
 🟠 **autoplay**: Enable or disable playing the generated TTS to your standard sound output device at time of TTS generation.
 `-d "autoplay=true"`<br>
 `-d "autoplay=false"`
 🟠 **autoplay_volume**: Set the autoplay volume. Should be between 0.1 and 1.0. Needs to be specified in the JSON request even if autoplay is false.
 `-d "autoplay_volume=0.8"`
 ### 🟠 TTS Generation Response
 The API returns a JSON object with the following properties:
 - **status** Indicates whether the generation was successful (generate-success) or failed (generate-failure).<br>
 - **output_file_path** The on-disk location of the generated WAV file.<br>
 - **output_file_url** The HTTP location for accessing the generated WAV file for browser playback.<br>
 - **output_cache_url** The HTTP location for accessing the generated WAV file as a pushed download.<br>
 Example JSON TTS Generation Response:
 `{"status":"generate-success","output_file_path":"C:\\text-generation-webui\\extensions\\alltalk_tts\\outputs\\myoutputfile_1704141936.wav","output_file_url":"http://127.0.0.1:7851/audio/myoutputfile_1704141936.wav","output_cache_url":"http://127.0.0.1:7851/audiocache/myoutputfile_1704141936.wav"}`
 ### 🔴 Future to-do list
- Complete & document the new/full standalone mode API.
+- SillyTavern Support
 - Voice output within the command prompt/terminal (TBD).
 - Correct an issue on incorrect output folder path when running as a standalone app.
 - Correct a few spelling mistakes in the documnentation.
 - Possibly add some additional TTS engines (TBD).
 - Have a break!
@@ -0,0 +1,232 @@
 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("\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()
@@ -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.")
@@ -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"
    }
 }
@@ -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
@@ -1,7 +1,7 @@
 numpy>=1.22.0
 soundfile>=0.12.1
 uvicorn>=0.24.0.post1
-TTS>=0.22.0
+TTS>=0.21.3
 torch>=2.1.0+cu118
 torchaudio>=2.1.0+cu118
 fastapi>=0.104.1
@@ -10,3 +10,6 @@ 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
@@ -1,7 +1,7 @@
 numpy>=1.22.0
 soundfile>=0.12.1
 uvicorn>=0.24.0.post1
-TTS>=0.22.0
+TTS>=0.21.3
 torch>=2.1.0
 torchaudio>=2.1.0
 fastapi>=0.104.1
@@ -10,3 +10,6 @@ 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
@@ -39,8 +39,8 @@ 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
@@ -62,7 +62,9 @@ try:
    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
@@ -75,6 +77,8 @@ 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():
@@ -108,7 +112,6 @@ 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
@@ -138,10 +141,23 @@ def check_required_files():
    subprocess.run(["python", str(download_script_path)])
    print(f"[{params['branding']}Startup] All required files are present.")
 # 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 confignew.json ####
@@ -248,10 +264,10 @@ 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 = 120  # Adjust the timeout as needed
 # 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()
 while time.time() - start_time < timeout:
    try:
@@ -261,9 +277,9 @@ 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 120 seconds maximum. Please wait."
        )
-    time.sleep(1)
+    time.sleep(4)
 else:
    print(
        f"[{params['branding']}Startup] Startup timed out. Check the server logs for more information."
@@ -271,11 +287,13 @@ else:
    # 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["tts_model_loaded"] = False
        url = f"{base_url}/api/reload"
@@ -294,17 +312,26 @@ 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
@@ -482,6 +509,54 @@ 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 ####
 #################################
@@ -490,6 +565,7 @@ 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
@@ -500,85 +576,55 @@ def output_modifier(string, state):
    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(f"[{params['branding']}TTSGen] \033[92mNarrator\033[0m")  # Green
-                    elif non_quoted_text_is:
+                    elif part_type == 'character':
                        cleaned_part = html.unescape(part.replace('< ', '').replace('<  ', '').replace('<  ', ''))
                        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 = params["voice"] if non_quoted_text_is else params["narrator_voice"]
-                    # Check if character name exists and if not, just call it TTSOUT_
+                        voice_description = "\033[36mCharacter (Text-not-inside)\033[0m" if non_quoted_text_is else "\033[92mNarrator (Text-not-inside)\033[0m"
-                    if "character_menu" in state:
+                        print(f"[{params['branding']}TTSGen] {voice_description}")
-                        output_file = Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{int(time.time())}_{i}.wav')
+
-                    else:
+                    # Replace multiple exclamation marks, question marks, or other punctuation with a single instance
-                        output_file = Path(f'{params["output_folder_wav"]}/TTSOUT_{int(time.time())}_{i}.wav')
+                    cleaned_part = re.sub(r'([!?.])\1+', r'\1', part)
-                    # Generate that TTS and output to a file
+                    # Further clean to remove any other unwanted characters
-                    output_file_str = output_file.as_posix()
+                    cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\$]', '', 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, 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\.,;:!?\-\'"\u0400-\u04FFÀ-ÿ\u0150\u0151\u0170\u0171\$]', '', 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')
@@ -627,9 +673,10 @@ def output_modifier(string, state):
 def get_output_filename(state):
-    return Path(
+    if "character_menu" in state:
-        f'{params["output_folder_wav"]}/{state["character_menu"]}_{str(uuid.uuid4())[:8]}.wav'
+        return Path(f'{params["output_folder_wav"]}/{state["character_menu"]}_{str(uuid.uuid4())[:8]}.wav').as_posix()
-    ).as_posix()
+    else:
        return Path(f'{params["output_folder_wav"]}/TTSOUT_{str(uuid.uuid4())[:8]}.wav').as_posix()
 ###############################################
@@ -685,10 +732,6 @@ 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)"):
@@ -782,14 +825,17 @@ def ui():
            deepspeed_checkbox_play = gr.HTML(visible=False)
        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=["API TTS", "API Local", "XTTSv2 Local"],
+                choices=model_loader_choices,
                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, each 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']}'>Click here for the Settings page, help & instructions</a><a href='http://{params['ip_address']}:{params['port_number']}'></a>⚙️<br>NOTE: Switching Model Type, Low VRAM & DeepSpeed, each takes 15 seconds. Each TTS generation method has a slightly different sound. DeepSpeed checkbox is only visible if DeepSpeed is installed on your system."
            )
        with gr.Row():
@@ -1,8 +0,0 @@
 .SDAP .hires_opts input[type="number"] {
    width: 6em !important;
 }
 /* silero_tts preview */
 .form:has(> #silero_preview_text) {
    min-width: 75%
 }
@@ -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;
 }
@@ -0,0 +1,2 @@
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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
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 /*! 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; codecs="opus"').replace(/^no$/,""),ogg:!!o.canPlayType('audio/ogg; codecs="vorbis"').replace(/^no$/,""),oga:!!o.canPlayType('audio/ogg; codecs="vorbis"').replace(/^no$/,""),wav:!!(o.canPlayType('audio/wav; codecs="1"')||o.canPlayType("audio/wav")).replace(/^no$/,""),aac:!!o.canPlayType("audio/aac;").replace(/^no$/,""),caf:!!o.canPlayType("audio/x-caf;").replace(/^no$/,""),m4a:!!(o.canPlayType("audio/x-m4a;")||o.canPlayType("audio/m4a;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),m4b:!!(o.canPlayType("audio/x-m4b;")||o.canPlayType("audio/m4b;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),mp4:!!(o.canPlayType("audio/x-mp4;")||o.canPlayType("audio/mp4;")||o.canPlayType("audio/aac;")).replace(/^no$/,""),weba:!(_||!o.canPlayType('audio/webm; codecs="vorbis"').replace(/^no$/,"")),webm:!(_||!o.canPlayType('audio/webm; codecs="vorbis"').replace(/^no$/,"")),dolby:!!o.canPlayType('audio/mp4; codecs="ec-3"').replace(/^no$/,""),flac:!!(o.canPlayType("audio/x-flac;")||o.canPlayType("audio/flac;")).replace(/^no$/,"")},e},_unlockAudio:function(){var e=this||n;if(!e._audioUnlocked&&e.ctx){e._audioUnlocked=!1,e.autoUnlock=!1,e._mobileUnloaded||44100===e.ctx.sampleRate||(e._mobileUnloaded=!0,e.unload()),e._scratchBuffer=e.ctx.createBuffer(1,1,22050);var o=function(n){for(;e._html5AudioPool.length<e.html5PoolSize;)try{var t=new Audio;t._unlocked=!0,e._releaseHtml5Audio(t)}catch(n){e.noAudio=!0;break}for(var r=0;r<e._howls.length;r++)if(!e._howls[r]._webAudio)for(var a=e._howls[r]._getSoundIds(),u=0;u<a.length;u++){var d=e._howls[r]._soundById(a[u]);d&&d._node&&!d._node._unlocked&&(d._node._unlocked=!0,d._node.load())}e._autoResume();var i=e.ctx.createBufferSource();i.buffer=e._scratchBuffer,i.connect(e.ctx.destination),void 0===i.start?i.noteOn(0):i.start(0),"function"==typeof e.ctx.resume&&e.ctx.resume(),i.onended=function(){i.disconnect(0),e._audioUnlocked=!0,document.removeEventListener("touchstart",o,!0),document.removeEventListener("touchend",o,!0),document.removeEventListener("click",o,!0),document.removeEventListener("keydown",o,!0);for(var n=0;n<e._howls.length;n++)e._howls[n]._emit("unlock")}};return document.addEventListener("touchstart",o,!0),document.addEventListener("touchend",o,!0),document.addEventListener("click",o,!0),document.addEventListener("keydown",o,!0),e}},_obtainHtml5Audio:function(){var e=this||n;if(e._html5AudioPool.length)return e._html5AudioPool.pop();var o=(new Audio).play();return o&&"undefined"!=typeof Promise&&(o instanceof Promise||"function"==typeof o.then)&&o.catch(function(){console.warn("HTML5 Audio pool eLine truncated
 /*! Spatial Plugin */
 !function(){"use strict";HowlerGlobal.prototype._pos=[0,0,0],HowlerGlobal.prototype._orientation=[0,0,-1,0,1,0],HowlerGlobal.prototype.stereo=function(e){var n=this;if(!n.ctx||!n.ctx.listener)return n;for(var t=n._howls.length-1;t>=0;t--)n._howls[t].stereo(e);return n},HowlerGlobal.prototype.pos=function(e,n,t){var r=this;return r.ctx&&r.ctx.listener?(n="number"!=typeof n?r._pos[1]:n,t="number"!=typeof t?r._pos[2]:t,"number"!=typeof e?r._pos:(r._pos=[e,n,t],void 0!==r.ctx.listener.positionX?(r.ctx.listener.positionX.setTargetAtTime(r._pos[0],Howler.ctx.currentTime,.1),r.ctx.listener.positionY.setTargetAtTime(r._pos[1],Howler.ctx.currentTime,.1),r.ctx.listener.positionZ.setTargetAtTime(r._pos[2],Howler.ctx.currentTime,.1)):r.ctx.listener.setPosition(r._pos[0],r._pos[1],r._pos[2]),r)):r},HowlerGlobal.prototype.orientation=function(e,n,t,r,o,i){var a=this;if(!a.ctx||!a.ctx.listener)return a;var p=a._orientation;return n="number"!=typeof n?p[1]:n,t="number"!=typeof 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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 {
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    padding-top: 100px;
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    display: flex;
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    flex-direction: column;
    align-items: center;
 }
 .ms-welcome__main {
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 }
 .ms-welcome__main > h2 {
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 }
 .ms-welcome__features {
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 .ms-welcome__features.ms-List .ms-ListItem {
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 .ms-welcome__features.ms-List .ms-ListItem > .ms-Icon {
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 }
 .ms-welcome__action.ms-Button--hero {
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 }
 .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;
 }
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    <title>AllTalk TTS Add-in</title>
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Author	SHA1	Message	Date
erew123	4f80b39cd0	Update README.md	2024-01-06 20:49:58 +00:00
erew123	332582baea	AllTalk TTS Generator	2024-01-06 20:26:05 +00:00
erew123	2bd7ebc514	Delete templates/TTS_Input_Proof_of_concept.html	2024-01-06 20:24:20 +00:00
erew123	7718bfd3ea	Update admin.html Added Hungarian characters	2024-01-05 13:27:49 +00:00
erew123	002c5ad9db	Update tts_server.py Added Hungarian characters	2024-01-05 13:26:15 +00:00
erew123	2c14847708	Update script.py added Hungarian characters	2024-01-05 13:24:20 +00:00
erew123	3647d69007	Update README.md	2024-01-05 13:18:02 +00:00
erew123	abaa56e8f4	Update admin.html Additional European and Cyrillic characters	2024-01-04 12:17:23 +00:00
erew123	d0dc9f3212	Update tts_server.py Additional European language & Cyrillic characters	2024-01-04 12:16:21 +00:00
erew123	67dcc411ad	Update script.py Extend allowed characters, additional European & Cyrillic characters	2024-01-04 12:13:38 +00:00
erew123	b11a087dc8	Update tts_server.py # Start Uvicorn Webserver host_parameter = params["ip_address"] port_parameter = int(params["port_number"]) Corrected format	2024-01-03 20:57:21 +00:00
erew123	e068115eef	Merge pull request #43 from nicobubulle/improvement Regex improvement for text_filtering	2024-01-03 17:54:15 +00:00
nicobubulle	0ec580539a	Regex improvement Add greedy option to avoid apostrophe being removed Add accentuated character for foreign language	2024-01-03 16:54:25 +01:00
erew123	e9feae12ad	path corrected for word_addin	2024-01-03 10:50:22 +00:00
erew123	e183e3a7bb	Filtering Demo page removed some of the demo filtering as it was stripping too much from the text.	2024-01-03 09:36:33 +00:00
erew123	67d2b1c5ea	Word-Add-in Proof of concept	2024-01-03 01:29:57 +00:00
erew123	f3b44424ef	Update for word add-in	2024-01-03 01:28:56 +00:00
erew123	3b5c4b9b68	added an extra replace for % to percent	2024-01-02 20:37:27 +00:00
erew123	e452a926f2	adding params to demo generate params.ip_address & params.port_number	2024-01-02 20:30:16 +00:00
erew123	b28ecaf43e	added pause button	2024-01-01 21:43:23 +00:00
erew123	ba1328311c	Update README.md	2024-01-01 20:47:32 +00:00
erew123	9e6b9396bc	Corrected Spelling mistakes	2024-01-01 20:30:18 +00:00
erew123	2e40db5fe5	Merge pull request #39 from erew123/dev Dev	2024-01-01 20:05:09 +00:00
erew123	720bf8697f	Merge branch 'main' into dev	2024-01-01 20:05:00 +00:00
erew123	1893d1a130	remove unused style.css file	2024-01-01 19:55:38 +00:00
erew123	8472baf031	Delete style.css	2024-01-01 19:51:23 +00:00
erew123	6cab618706	Update README.md	2024-01-01 18:45:41 +00:00
erew123	ebf3b362f7	Add files via upload	2024-01-01 18:20:44 +00:00
erew123	2dd303f53c	Add files via upload	2024-01-01 18:10:14 +00:00
erew123	df69fb0b07	Merge pull request #36 from rbruels/feature/add-streaming-tts Feature: Add streaming TTS, using the new inference_stream() function from CoquiTTS	2024-01-01 16:58:33 +00:00
erew123	a0d9771fa6	Add files via upload	2024-01-01 16:20:58 +00:00
erew123	a71c46bb98	Merge pull request #35 from rbruels/enhancement/templatize-tts-server-html Enhancement: Templatize tts-server html for ease of editing	2024-01-01 12:41:08 +00:00
erew123	995f317b4f	Merge pull request #37 from erew123/main sync main to dev	2024-01-01 12:36:36 +00:00
Ryan	6ef2de2923	Support streaming of model inference to lower time to first token for long passages. Uses the new CoquiTTS inference_stream() function	2024-01-01 00:27:11 -08:00
Ryan	37c4e86566	Merge branch 'main' into enhancement/templatize-tts-server-html	2023-12-31 15:09:11 -08:00
Ryan	11071b279b	Templatize the tts-server HTML for ease of editing	2023-12-31 15:06:39 -08:00
erew123	5ab7463f35	More narrator shenanigans	2023-12-31 21:35:23 +00:00
erew123	74c9238e3a	Update README.md	2023-12-30 22:15:30 +00:00
erew123	e874e46304	Update README.md	2023-12-30 15:26:02 +00:00
erew123	b32df6ac15	Additional note in finetune re multiple GPU support	2023-12-30 14:45:42 +00:00
erew123	b76dd3561f	Merge pull request #34 from erew123/dev Dev	2023-12-30 14:23:22 +00:00
erew123	60bfbdcabd	Update README.md	2023-12-30 14:12:41 +00:00
erew123	c128d0851b	Updated Finetune	2023-12-30 14:00:36 +00:00
erew123	2f3b7762e4	Update README.md	2023-12-30 13:31:41 +00:00
erew123	0e594f5098	Update .gitignore	2023-12-30 13:30:16 +00:00
erew123	14151d4dda	Update README.md	2023-12-30 11:27:20 +00:00
erew123	94ab21fb15	Update README.md	2023-12-30 11:26:29 +00:00
erew123	1acac3d6c6	Update README.md	2023-12-30 11:23:59 +00:00
erew123	95ec2dc9d2	Merge pull request #32 from erew123/main merge main to dev	2023-12-30 11:11:11 +00:00
erew123	6b93eb6c1e	Update README.md	2023-12-29 23:38:38 +00:00
erew123	838578a042	Update README.md	2023-12-29 23:28:47 +00:00
erew123	2f689f0438	Model loader for Finetuned models Adds a detection routine and additional loader for a finetuned model. Model has to be in /models/trainedmodel/	2023-12-29 23:15:15 +00:00
erew123	022025ded6	Update README.md	2023-12-29 20:57:28 +00:00
erew123	320a7a6aba	Update README.md	2023-12-29 20:51:45 +00:00
erew123	fa82870883	Merge pull request #31 from erew123/dev 3x new API endpoints & Play audio at command prompt/terminal	2023-12-29 20:37:20 +00:00
erew123	a094d4f9da	Completed autoplay at command line Added additional requirement. Lowered the repetition on the start-up warning when its taking a while for the model to load.	2023-12-29 20:31:49 +00:00
erew123	bb028af694	Update README.md	2023-12-29 10:54:02 +00:00
erew123	aeb225ec7c	Update README.md	2023-12-29 10:51:06 +00:00
erew123	06a632459e	Update README.md	2023-12-29 10:44:39 +00:00
erew123	221efbddb4	Supports playback at the command line prompt Added sounddevice as its currently well supported. Allows playback at the terminal/command prompt. Added speakers_xtts.pth to the modeldownload.json as it will be needed for finetuning in future updates of TTS 0.22.0+	2023-12-29 10:42:35 +00:00
erew123	e81a88938a	Completed built-in documentation update For the new API endpoints	2023-12-29 10:11:01 +00:00
erew123	65e257077c	3x new API endpoints /api/voices/ /api/previewvoice/ /api/ready/	2023-12-29 09:56:51 +00:00
erew123	95659d5b7a	Update README.md	2023-12-29 09:55:23 +00:00
erew123	ff57270286	Update README.md	2023-12-29 09:53:02 +00:00
erew123	4fc61ba99a	Merge pull request #30 from erew123/main merge main to dev	2023-12-29 09:08:07 +00:00
erew123	3cd22081f4	Update script.py	2023-12-28 21:05:59 +00:00
erew123	d20ee95e67	Delete finetune/put-voice-samples-in-here/compact.py	2023-12-28 20:38:33 +00:00
erew123	cd47f6b123	Add files via upload	2023-12-28 20:38:12 +00:00
erew123	53a2d0a65e	Update README.md	2023-12-28 19:25:59 +00:00
erew123	13318243e4	Merge pull request #27 from rbruels/patch-1 A few changes/clarifications in the fine-tuning sections	2023-12-28 18:41:06 +00:00
erew123	acc457436a	updated narrator splitting function Improved over what was before. Still more work to do in future though.	2023-12-28 18:39:01 +00:00
erew123	8d80151889	New version of Finetune Simplified the final stages of finetuning. Added model compaction. Added cleaning routines to tidy up after training.	2023-12-28 18:36:51 +00:00
erew123	8b0ade5b9f	compact routine - separate to finetune a mini compact routine for anyone who wants to compact their existing model. This is built into the new version of finetune anyway, but is here just to capture those outlier instances.	2023-12-28 18:34:49 +00:00
Ryan Bruels	9f033e4654	A few changes/clarifications in the fine-tuning sections	2023-12-28 10:28:20 -08:00
erew123	1a2b8571d0	Updated diagnostics to include Path Now includes both Python and environment variables PATH search locations.	2023-12-28 12:05:46 +00:00
erew123	9ab20be294	Update README.md updated a screenshot	2023-12-27 06:49:46 +00:00
erew123	a34cbfdd55	Made Settings link more visble Updated the visibility of the settings & documentation page within Text-gen-webui interface. Minor built in documentation update.	2023-12-27 06:43:28 +00:00
erew123	94f5b781cc	Update Standalone API - race condition fix Applies the same race condition fix for narrator/character that potentially existed, but for the standalone mode API. Will have zero effect for anyone not using the API	2023-12-27 06:08:10 +00:00
erew123	f83e7c3b4e	Update README.md	2023-12-27 06:00:30 +00:00
erew123	607dc89be5	Update README.md Added a section on Running AllTalk as a standalone	2023-12-27 04:44:44 +00:00
erew123	47758c4aeb	Updated diagnostics Pulls Conda and Python environment details.	2023-12-26 18:58:06 +00:00
erew123	26414d4925	Update README.md	2023-12-26 17:30:40 +00:00
erew123	7ad92e7f5d	Update README.md	2023-12-26 17:28:28 +00:00
erew123	e775cef5bd	Update README.md	2023-12-26 17:19:21 +00:00
erew123	ac9ce144a0	Update README.md	2023-12-26 16:47:24 +00:00
erew123	f181c06f89	Update README.md Added a video link to show people how to install AllTalk.	2023-12-26 10:02:17 +00:00
erew123	9fae4692e3	Update README.md	2023-12-26 08:03:24 +00:00
erew123	97f0d6441a	Improved links in Documentation Added links to the minor bugs/known issues on gthub	2023-12-26 07:30:30 +00:00
erew123	2ea6cb6304	Update README.md	2023-12-26 06:23:26 +00:00
erew123	5bed68a963	minor update to standard voice naming.	2023-12-25 21:53:40 +00:00
erew123	be9862d0b0	Update README.md	2023-12-25 21:15:54 +00:00
erew123	f5a811f0f8	Update README.md	2023-12-25 21:11:02 +00:00
erew123	dc9d343115	Update uuid to avoid possible race condition file naming on short sentences could possibly have a race condition. set uuid as opposed to timestamp to avoid this outcome.	2023-12-25 21:09:39 +00:00
erew123	c92aa435e5	Update README.md	2023-12-25 09:37:39 +00:00
erew123	1f425e6bac	Update README.md	2023-12-25 06:04:35 +00:00
erew123	0854544a47	Update README.md	2023-12-25 05:45:05 +00:00
erew123	52a7922e98	Add files via upload	2023-12-25 02:05:05 +00:00
erew123	558583b16f	Update README.md	2023-12-24 20:37:59 +00:00
erew123	993d065368	Few minor updates Couple of documentation spelling mistakes Set environment variable	2023-12-24 18:01:27 +00:00
erew123	d7376fa8ef	Update README.md	2023-12-24 17:01:33 +00:00
erew123	2b175b13c4	update to find mp3 and flac Forgot it was only looking for wav's!	2023-12-24 15:56:44 +00:00
erew123	da0445489e	Update requirements_other.txt	2023-12-24 14:17:07 +00:00
erew123	e4eaa760b9	Update requirements_nvidia.txt	2023-12-24 14:16:46 +00:00
erew123	de4017f385	Update README.md	2023-12-24 14:07:22 +00:00
erew123	f2119aa0f7	Merge pull request #14 from erew123/dev New Finetuning of your models New API endpoint Full documentation (online and built in) A couple of minor file updates. Small bug fix on file generation in instruct mode with no character name available (thanks to @danielwburch)	2023-12-24 13:10:18 +00:00
erew123	bb81f3f874	Update README.md	2023-12-24 13:03:26 +00:00
erew123	fae15eecb1	minor spelling mistake updating minor spelling mistake.	2023-12-24 12:54:08 +00:00
erew123	6edcc2125b	create finetune directory	2023-12-24 12:35:02 +00:00
erew123	d26909a1d6	All the updates for Finetuning Additional files to download Updated documentation Updated requirements files	2023-12-24 12:32:10 +00:00
erew123	3be6b842c4	Update README.md	2023-12-24 10:24:03 +00:00
erew123	e10dc700c3	Update README.md	2023-12-24 10:20:03 +00:00
erew123	e8e21f949c	Update README.md Detail API Suite	2023-12-24 10:00:08 +00:00
erew123	e68a7d72f2	Update README.md	2023-12-24 08:49:14 +00:00
erew123	fd26db8e8a	Updated model + added finetuning requirements file Updated modeldownload.json with finetuning requirements inside. New requirements_finetune.txt file.	2023-12-24 08:35:33 +00:00
erew123	396f1290e7	Update README.md	2023-12-24 08:30:32 +00:00
erew123	5bc7dd8692	Update README.md added finetuning details	2023-12-24 08:29:06 +00:00
erew123	b5b68ad51f	Update script.py updated timeout	2023-12-23 00:16:38 +00:00
erew123	e49ceed40c	Merge pull request #13 from danielwburch/refactor_output_filename_2 Refactor output file naming in script.py	2023-12-21 18:03:32 +00:00
Daniel Burch	598aec7f52	Refactor output file naming in script.py	2023-12-21 10:17:41 -06:00
erew123	f25d2627cd	updated timeout to 80 seconds Much older systems with low system ram are taking 70 seconds to start up (so Im told). Ive added an extra 20 seconds onto the 60 seconds for subprocess start-up. documentation updated too.	2023-12-21 12:47:53 +00:00
erew123	3e6f1bace3	Update README.md updated docs based on 80 second timeout for older systems	2023-12-21 12:45:58 +00:00
erew123	fb851ff3f0	Update README.md	2023-12-21 12:32:52 +00:00
erew123	92bf8f5de8	Update README.md	2023-12-21 12:31:56 +00:00
erew123	8f318892c2	New API endpoint adds the /api/tts-generation endpoint & documentation.	2023-12-21 11:32:59 +00:00
erew123	28a62ed39a	Merge pull request #12 from erew123/revert-9-refactor_output_filename_setting Revert "Refactor output file naming in script.py"	2023-12-21 06:27:23 +00:00
erew123	4c08927ed9	Revert "Refactor output file naming in script.py"	2023-12-21 06:26:32 +00:00
erew123	a93da39711	Merge pull request #9 from danielwburch/refactor_output_filename_setting Refactor output file naming in script.py	2023-12-21 06:14:03 +00:00
Daniel Burch	557f4b80b6	Refactor output file naming in script.py	2023-12-20 15:07:28 -06:00
erew123	c657a2aac6	Capture wildcards in requirements	2023-12-20 08:52:00 +00:00
erew123	af99748441	Update issue templates	2023-12-20 08:38:15 +00:00
erew123	db87427e7c	Update README.md Added diagnostics details.	2023-12-20 08:13:03 +00:00
erew123	c9b82034f0	diagnostics added colour identifiers to the output on screen.	2023-12-20 02:18:43 +00:00
erew123	96aef2c1be	Updating docs CURL Curl command rendered incorrectly in HTML, so corrected	2023-12-20 01:12:45 +00:00
erew123	a3958a6437	Update README.md	2023-12-19 17:11:13 +00:00
erew123	485aca2e6c	Update .gitignore added diagnostics.log	2023-12-19 17:08:44 +00:00
erew123	88d588bb44	Update README.md	2023-12-19 16:47:45 +00:00
erew123	9cc98c7c31	Update issue templates	2023-12-19 16:45:40 +00:00
erew123	69acc1f74a	Update issue templates	2023-12-19 16:44:41 +00:00
erew123	d8be718a30	Update README.md Referenced the diagnostics utility in the Help section.	2023-12-19 16:38:49 +00:00
erew123	efd3a0add3	Documentation & Diagnostics Cleaned up the built in documentation. Also added diagnostics.py to help with diagnosing anyone's problems.	2023-12-19 16:33:06 +00:00
erew123	55ecdfcf1f	License	2023-12-19 08:36:53 +00:00
erew123	fab8d28802	Update issue templates	2023-12-19 02:05:55 +00:00
erew123	72992729f9	Update issue templates	2023-12-19 02:04:59 +00:00
erew123	7c5d843c61	Update README.md Added a few extra details to DeepSpeed installs and uninstalls. Covering all bases.	2023-12-18 23:47:19 +00:00
erew123	19a66fdba4	Update README.md	2023-12-18 23:18:31 +00:00
erew123	5c88f43083	Full tidy of ReadME	2023-12-18 09:02:17 +00:00
erew123	6ef01a83a8	Update README.md minor correction	2023-12-18 00:39:52 +00:00
erew123	cd2e5396a0	Update README.md	2023-12-17 18:36:14 +00:00
erew123	7e590d6e69	Update README.md	2023-12-17 18:35:23 +00:00
erew123	92e360feed	Update README.md	2023-12-17 18:34:27 +00:00
erew123	5015b9e4da	Update .gitignore	2023-12-17 12:47:09 +00:00
erew123	1131084e2f	Update README.md	2023-12-17 12:46:30 +00:00
erew123	8fab3e8183	Update README.md	2023-12-17 12:42:59 +00:00
erew123	6f4df9e3b1	Update README.md	2023-12-17 12:28:29 +00:00
erew123	7223b3bc26	Update README.md	2023-12-17 12:25:00 +00:00
erew123	48a02da11d	Update README.md	2023-12-17 12:18:57 +00:00
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