Merge pull request #68 from erew123/dev

Update to Main
Update README.md
2024-01-13 21:28:59 +00:00 · 2024-01-13 21:23:47 +00:00 · 2024-01-13 21:16:01 +00:00 · 2024-01-13 21:07:18 +00:00 · 2024-01-13 20:22:10 +00:00 · 2024-01-13 20:13:38 +00:00
39 changed files with 7714 additions and 1223 deletions
@@ -0,0 +1,9 @@
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@@ -1,38 +1,82 @@
 # 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/#-quick-setup-text-generation-webui--standalone-installation) **or part of** [Text-generation-webui](https://github.com/erew123/alltalk_tts/#-quick-setup-text-generation-webui--standalone-installation) **using the a quick setup utility**
- **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA)
+- **Model Finetuning:** Train the model specifically on a voice of your choosing for better reproduction.
 - **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)
 - **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).
- **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
+- **Bulk TTS Generator/Editor:** Generate hours of TTS into one big file or have something read back to you [demo](https://www.youtube.com/watch?v=hunvXn0mLzc).
- **Finetuning** Train the model specifically on a voice of your choosing for better reproduction.
+- **DeepSpeed:** A 2-3x performance boost generating TTS. [Screenshot](https://github.com/erew123/screenshots/raw/main/deepspeed.jpg)
- **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
+- **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM.
- **Console output** Clear command line output for any warnings or issues.
+- **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/screenshots/raw/main/settingsanddocs.jpg)
- **API Suite and 3rd Party support via JSON calls** Can be used with 3rd party applications via JSON calls.
+- **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA)
- **Can be run as a standalone app** Not just inside of text-generation-webui.
+- **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/screenshots/raw/main/settingsanddocs.jpg)
 - **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/screenshots/raw/main/settingsanddocs.jpg)
 - **Clear Console output:** Clear command line output for any warnings or issues.
 - **API Suite and 3rd Party support via JSON calls:** Can be used with 3rd party applications via JSON calls.
 - **SillyTavern integration:** Full integration with SillyTavern. [Screenshot](https://github.com/erew123/screenshots/raw/main/sillytavern.jpg)
 ## Index
- 🟩 [Installation](https://github.com/erew123/alltalk_tts?#-installation-on-text-generation-web-ui)
+- 🟩 [Installation](https://github.com/erew123/alltalk_tts/#-quick-setup-text-generation-webui--standalone-installation)
 - 🟪 [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 & Bug fixes
 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)
-## 🟩 Installation on Text generation web UI
+## 🟩 Quick Setup (Text-generation-webui & Standalone Installation)
 For Windows 10/11 and Linux machines there is a quick setup script. Click to expand the correct section below:
 <details>
 	<summary>QUICK SETUP - Text-Generation-webui</summary><br>
 If you wish to see this as a video, please go [here](https://www.youtube.com/watch?v=icn2XS5rUH8)
 1) To download the AllTalk setup you can either:
   - A) On this page select **CODE** > **Download ZIP** then extract it to the text-generation-webui extensions folder<br>e.g. `\text-generation-webui\extensions\alltalk_tts\`<br><br>
   - B) Go to a terminal/console, move into the `\text-generation-webui\extensions\` folder<br>and `git clone https://github.com/erew123/alltalk_tts`<br><br>
 3) In a terminal/command prompt, in the text-generation-webui folder you will start its Python environment with either `cmd_windows.bat` or `./cmd_linux.sh`
 4) Move into the AllTalk folder e.g. `cd extensions` then `cd alltalk_tts`
 5) Start the AllTalk setup script `atsetup.bat` or `./atsetup.sh`
 6) Follow the on-screen prompts and install the correct requirements files that you need. It's recommended to test AllTalk works before installing DeepSpeed.
   Any time you need to make changes to AllTalk, or use Finetuning etc, always start the Text-generation-webui Python environment first.
   Please read the `🟩 Other installation notes` (also additional voices are available there).
   Finetuning & DeepSpeed have other installation requirements (depending on your OS) so please read any instructions in the setup utility and refer back here to this page for detailed instructions (as needed).<br><br>
 </details>
 <details>
 	<summary>QUICK SETUP - Standalone Installation</summary><br>
 If you wish to see this as a video, please go [here](https://www.youtube.com/watch?v=AQYCccDRbaY)
 1) To download the AllTalk setup you can either:
   - A) On this page select **CODE** > **Download ZIP** then extract it to the folder of your choice<br>e.g. `C:\myfiles\alltalk_tts\`<br><br>
   - B) Go to a terminal/console, move into the folder of your choice e.g `C:\myfiles\` folder<br>and `git clone https://github.com/erew123/alltalk_tts`<br><br>
 4) In a terminal/command prompt, move into the AllTalk folder e.g. `cd alltalk_tts`
 5) Start the AllTalk setup script `atsetup.bat` or `./atsetup.sh`
 6) Follow the on-screen prompts and install the correct requirements files that you need. It's recommended to test AllTalk works before installing DeepSpeed.
   DeepSpeed on Windows machines will be installed as standard. Linux machines have other requirements which are detailed within the setup utility and on this page.
   Please read the `🟩 Other installation notes` (also additional voices are available there).
   Finetuning has other installation requirements so please read any instructions in the setup utility and refer back here to this page for detailed instructions.<br><br>
 </details>
 ## 🟩 Manual Installation - As part of Text generation web UI
 On Mac's or if you wish to perform a manual installation. Click to expand the correct section below:
 <details>
 	<summary>MANUAL INSTALLATION - Text-Generation-webui</summary><br>
 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) 
+- If you want to watch a video of how to do the below [link here](https://youtu.be/9BPKuwaav5w)<br>
 1) In a command prompt/terminal window you need to move into your Text generation webUI folder:<br><br>
 `cd text-generation-webui`
@@ -57,9 +101,63 @@ If you want to watch a video of how to do the below [link here](https://youtu.be
 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 $\textcolor{red}{\textsf{VERY IMPORTANT}}$.
-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)
+   Any time you need to make changes to AllTalk, or use Finetuning etc, always start the Text-generation-webui Python environment first.
   Please read the `🟩 Other installation notes` (also additional voices are available there).
   Finetuning & DeepSpeed have other installation requirements (depending on your OS) so please read any instructions in the setup utility and refer back here to this page for detailed instructions (as needed).<br><br>
 </details>
 ## 🟩 Manual Installation - As a Standalone Application
 On Mac's or if you wish to perform a manual installation. Click to expand the correct section below:
 <details>
 	<summary>MANUAL INSTALLATION - I want to run AllTalk as a standalone when installed with Text-generation-webui</summary><br>
 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.
 </details>
 <details>
 	<summary>MANUAL INSTALLATION - I wish to do a custom install of AllTalk</summary><br>
 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**.
 #### 🟩 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>
   Any time you need to make changes to AllTalk, or use Finetuning etc, always start your Python environment first.
   Please read the `🟩 Other installation notes` (also additional voices are available there).
   Finetuning & DeepSpeed have other installation requirements (depending on your OS) so please read any instructions in the setup utility and refer back here to this page for detailed instructions (as needed).<br><br>
 </details>
 11) Some extra voices downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
 #### 🟩 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.
@@ -68,28 +166,47 @@ Once the extension is loaded, please find all documentation and settings on the
 **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.
-#### 🟩 The one thing I cant easily work around
+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#-a-note-on-character-cards--greeting-messages)
 Narrator function specific - 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` (💾) 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):
+Some extra voices for AllTalk are downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
-`"`*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.*`"`
+#### 🟩 A note on Character Cards & Greeting Messages
 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
 <details>
 	<summary>UPDATING - I am using Text-Generation-webui</summary><br>
 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>
+2) Move into your extensions and alltalk_tts folder e.g. `cd extensions` then `cd alltalk_tts`
 `cd extensions` then `cd alltalk_tts`
-3) At the command prompt/terminal, type:<br><br>
+3) At the command prompt/terminal, type `git pull`
 `git pull`
 4) Install the correct requirements for your machine:<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`<br><br>
 </details>
 <details>
 	<summary>UPDATING - I am running as a Standalone Application</summary><br>
 1) In a command prompt/terminal window you need to move into your `alltalk_tts` folder and run `start_environment.bat` or `/start_environment.sh` to load the Python environment.
 2) At the command prompt/terminal, type `git pull` and wait for it to complete the download.
 3) Install the correct requirements for your machine:<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>
 </details>
 #### 🟪 Updating "git pull" error
@@ -142,15 +259,16 @@ Assuming its all working fine and you are happy, you can delete the old alltalk_
 </details>
 ## 🟫 Screenshots
-|![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/screenshots/raw/main/textgensettings.jpg) | ![image](https://github.com/erew123/screenshots/raw/main/setuputilitys.jpg) | ![image](https://github.com/erew123/screenshots/raw/main/deepspeed.jpg) |![image](https://github.com/erew123/screenshots/raw/main/textgen.jpg) |
-|:---:|:---:|
+|:---:|:---:|:---:|:---:|
-|![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/screenshots/raw/main/settingsanddocs.jpg) | ![image](https://github.com/erew123/screenshots/raw/main/finetune1.jpg) | ![image](https://github.com/erew123/screenshots/raw/main/finetune2.jpg) |![image](https://github.com/erew123/screenshots/raw/main/sillytavern.jpg)|
 |![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) |
 ## 🟨 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
 If you are on a Windows machine or a Linux machine, you should be able to use the `atsetup.bat` or `./atsetup.sh` utility to create a diagnositcs file. If you are unable to use the `atsetup` utility, please follow the instructions below.
 <details>
 	<summary>Click to expand</summary>
@@ -276,10 +394,11 @@ Depending on which of your Nvidia GPU's is the more powerful one, you can change
 ## ⚫ 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).
+- 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).
 - As a side note, many people seem to think that the Whisper v2 model (used on Step 1) is giving better results at generating training datasets, so you may prefer to try that, as opposed to the Whisper 3 model.
 #### ⚫ 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.
@@ -288,8 +407,8 @@ Everything has been done to make this as simple as possible. At its simplest, yo
 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:
+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. This requirement is for Step1 of Finetuning. 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)
+- 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.
@@ -308,6 +427,8 @@ As mentioned you must have a small portion of the Nvidia CUDA Toolkit **11.8** i
 - 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.
 **Note:** Its also important that your Torch and Torchaudio have cuda installed (of any version). If you run the AllTalk diagnostics you can see your Torch and Torchaudio versions listed there. Cuda 11.8 will be listed as `cu118` and Cuda 12.1 as `cu121`. This Torch and Torchaudio is seperate to the above requirement to have the Nvidia CUDA Toolkit installed, so dont confuse the two different requirements. If you dont have Cuda installed on Torch and Torchaudio, Step 2 of Finetuning will fail.
 #### ⚫ 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. 
@@ -355,6 +476,8 @@ If you've compacted and moved your model, its highly unlikely you would want to
 ➡️DeepSpeed requires an Nvidia Graphics card!⬅️
 - #### DeepSpeed Installation for Text generation webUI
 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>
@@ -366,14 +489,36 @@ If you've compacted and moved your model, its highly unlikely you would want to
 `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>
+8) 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>
+9) 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>
 - #### DeepSpeed Installation for standalone alltalk_tts app
 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` If you are using an RPM based distribution the package will probably be named `libaio-devel`.<br><br> 
 4) Navigate to your alltalk_tts folder e.g. `cd alltext_tts`<br><br>
 5) Start the alltalk_tts Python environment `conda activate alltalkenv`<br><br>
 6) You will need to set the **CUDA_HOME** environment variable. 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) Set the environment path for CUDA_HOME e.g. `export CUDA_HOME=/usr/local/cuda-12.1/bin` or `export CUDA_HOME=/etc/alternative/cuda`.  Verify the path on your Linux distro before setting this variable.<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` or `CUDA_HOME does not exist`<br> <br>
 If you set the `env` variable and you receive an error of `[Errno 2] No such file or directory: '/usr/local/cuda-12.1/bin/bin/nvcc'` with a double `bin/bin` path, you can remove the env variable with `unset CUDA_HOME` and add the path to your linux PATH env variable with: `export PATH=$PATH:/usr/local/cuda-12.1/bin`. (Verify the path on your Linux distro before setting this variable.)  However if you are using other applications that use CUDA, you will want to verify that configuring the path did not break those applications. <br><br> 
 8) Now install deepspeed with `pip install deepspeed`<br><br>
 9) You can now start the alltalk_tts webUI with `python script.py`<br><br>
 <br><br>
 **Removal** - If it became necessary to uninstall DeepSpeed, you can do so by entering your `alltalkenv` enviroment `conda activate alltalkenv` and then running `pip uninstall deepspeed`<br><br>
 </details>
 #### 🟢🟡 Windows Installation
 <details>
 	<summary>Click to Expand: Windows DeepSpeed options</summary><br>
 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).
@@ -498,31 +643,44 @@ def get_shm_size():
 <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>
 </details>
-## 🟦 Running AllTalk as a standalone app
+## ⬜ AllTalk TTS Generator
-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. 
+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. Please see here for a quick [demo](https://www.youtube.com/watch?v=hunvXn0mLzc)<br><br>The link to open the TTS generator can be found on the built-in Settings and Documentation page.<br><br>**DeepSpeed** is **highly** recommended to speed up generation. **Low VRAM** would be best turned off and your LLM model unloaded from your GPU VRAM (unload your model). **No Playback** will reduce memory overhead on very large generations (15,000 words or more). Splitting **Export to Wav** into smaller groups will also reduce memory overhead at the point of exporting your wav files (so good for low memory systems). 
-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.
+#### ⬜ Estimated Throughput
 This will vary by system for a multitude of reasons, however, while generating a 58,000 word document to TTS, with DeepSpeed enabled, LowVram disabled, splitting size 2 and on an Nvidia RTX 4070, throughput was around 1,000 words per minute. Meaning, this took 1 hour to generate the TTS. Exporting to combined wavs took about 2-3 minutes total.
-#### 🟦 (Option 1) I already have AllTalk installed as an extension of Text-generation-webui
+#### ⬜ Quick Start
-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.
+- **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.
-#### 🟦 (Option 2) I wish to do a custom install of AllTalk
+- **Pause/Resume:** Used to pause and resume the playback of the initial generation of wavs or the stream.
-1) In your chosen disk location git clone this repository:<br><br>
+- **Stop Playback:** This will stop the current audio playing back. It does not stop the text from being generated however. 
-`git clone https://github.com/erew123/alltalk_tts`
+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.
-2) Move into the **alltalk_tts** folder:<br><br>
+#### ⬜ TTS Generation Modes
-`cd alltalk_tts`
+- **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.<br><br>
-3) If you have a custom Python environment, now is the time to load it!
+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, or "No Playback". 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”.<br><br>
-
+For generating **large amounts of TTS**, it's recommended to select the **No Playback** option. This setting minimizes the memory usage in your web browser by avoiding the loading and playing of audio files directly within the browser, which is particularly beneficial for handling extensive audio generations. The definition of large will vary depending on your system RAM availability (will update when I have more information as to guidelines). Once the audio is generated, you can export your list to JSON (for safety) and use the **Play List** option to play back your audio.
-4) Install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br>
+#### ⬜ Playback and List Management
-**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
+- **Playback Controls:** Utilize 'Play List' to start from the beginning or 'Stop Playback' to halt at any time.
-**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`
+- **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.
-5) Start AllTalk with `python script.py`
+- **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
-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.
+- **Export to WAV:** Combine all generated TTS from the list, into one single WAV file for easy download and distribution. Its always recommended to export your list to a JSON before exporting, so that you have a backup, should something go wrong. You can simply re-import the list and try exporting again.<br><br>When exporting, there is a file size limit of 1GB and as such you have the option to choose how many files to include in each block of audio exported. 600 is just on the limit of 1GB, depending on the average file size, so 500 or less is a good amount to work with. You can combine the generated files after if you wish, in Audacity or similar.<br><br>Additionally, lower export batches will lower the memory requirements, so if your system is low on memory (maybe 8 or 16GB system), you can use smaller export batches to keep the memory requirement down.
 #### ⬜ 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
@@ -546,6 +704,22 @@ Retrieve a list of available voices for generating speech.
   JSON return: `{"voices": ["voice1.wav", "voice2.wav", "voice3.wav"]}`
 #### 🟠 Current Settings Endpoint<br>
 Retrieve a list of available voices for generating speech.
 - URL: `http://127.0.0.1:7851/api/currentsettings`<br> - Method: `GET`<br>
   `curl -X GET "http://127.0.0.1:7851/api/currentsettings"`
   JSON return: ```{"models_available":[{"name":"Coqui","model_name":"API TTS"},{"name":"Coqui","model_name":"API Local"},{"name":"Coqui","model_name":"XTTSv2 Local"}],"current_model_loaded":"XTTSv2 Local","deepspeed_available":true,"deepspeed_status":true,"low_vram_status":true,"finetuned_model":false}```
  `name & model_name` = listing the currently available models.<br>
  `current_model_loaded` = what model is currently loaded into VRAM.<br>
  `deepspeed_available` = was DeepSpeed detected on startup and available to be activated.<br>
  `deepspeed_status` = If DeepSpeed was detected, is it currently activated.<br>
  `low_vram_status` = Is Low VRAM currently enabled.<br>
  `finetuned_model` = Was a finetuned model detected. (XTTSv2 FT).<br>
 #### 🟠 Preview Voice Endpoint
 Generate a preview of a specified voice with hardcoded settings.
@@ -590,12 +764,12 @@ Generate a preview of a specified voice with hardcoded settings.
   JSON return `{"status": "lowvram-success"}`
-### 🟠 TTS Generation Endpoint
+### 🟠 TTS Generation Endpoint (Standard Generation)
 - 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
+### 🟠 Example command lines (Standard Generation)
-Standard TTS speech Example (standard text) generating a time-stamped file<br>
+Standard TTS generation supports Narration and will generate a wav file/blob. 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>
@@ -691,14 +865,39 @@ 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.<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_1703149973.wav", "output_file_url": "http://127.0.0.1:7851/audio/myoutputfile_1703149973.wav"}`
+`{"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"}`
 ### 🟠 Example command lines (Streaming Generation)
 Streaming TTS generation does NOT support Narration and will generate an audio stream. Streaming TTS speech JavaScript Example:<br>
 - URL: `http://localhost:7851/api/tts-generate-streaming`<br> - Method: `POST`<br> - Content-Type: `application/x-www-form-urlencoded`<br><br>
 ```
 // Example parameters
 const text = "Here is some text";
 const voice = "female_01.wav";
 const language = "en";
 const outputFile = "stream_output.wav";
 // Encode the text for URL
 const encodedText = encodeURIComponent(text);
 // Create the streaming URL
 const streamingUrl = `http://localhost:7851/api/tts-generate-streaming?text=${encodedText}&voice=${voice}&language=${language}&output_file=${outputFile}`;
 // Create and play the audio element
 const audioElement = new Audio(streamingUrl);
 audioElement.play(); // Play the audio stream directly
 ```
 - **Text (text):** This is the actual text you want to convert to speech. It should be a string and must be URL-encoded to ensure that special characters (like spaces and punctuation) are correctly transmitted in the URL. Example: `Hello World` becomes `Hello%20World` when URL-encoded.<br>
 - **Voice (voice):** This parameter specifies the voice type to be used for the TTS. The value should match one of the available voice options in AllTalks voices folder. This is a string representing the file, like `female_01.wav`.<br>
 - **Language (language):** This setting determines the language in which the text should be spoken. A two-letter language code (like `en` for English, `fr` for French, etc.).<br>
 - **Output File (output_file):** This parameter names the output file where the audio will be streamed. It should be a string representing the file name, such as `stream_output.wav`. AllTalk will not save this as a file in its outputs folder.<br>
 <br>
 ### 🔴 Future to-do list
 - Voice output within the command prompt/terminal (TBD).
 - Correct a few spelling mistakes in the documentation.
 - Possibly add some additional TTS engines (TBD).
 - Tagging support within text.
 - Have a break!
@@ -0,0 +1,503 @@
@echo off
 cd /D "%~dp0"
 set PATH=%PATH%;%SystemRoot%\system32
 :: Generate the ESC character
 for /F %%a in ('echo prompt $E ^| cmd') do set "ESC=%%a"
 :: Standard Colors
 set "BLACK=%ESC%[30m"
 set "RED=%ESC%[31m"
 set "GREEN=%ESC%[32m"
 set "YELLOW=%ESC%[33m"
 set "BLUE=%ESC%[34m"
 set "MAGENTA=%ESC%[35m"
 set "CYAN=%ESC%[36m"
 set "WHITE=%ESC%[37m"
 set "L_BLACK=%ESC%[90m"
 set "L_RED=%ESC%[91m"
 set "L_GREEN=%ESC%[92m"
 set "L_YELLOW=%ESC%[93m"
 set "L_BLUE=%ESC%[94m"
 set "L_MAGENTA=%ESC%[95m"
 set "L_CYAN=%ESC%[96m"
 set "L_WHITE=%ESC%[97m"
 set "RESET=%ESC%[0m"
@rem Check if curl is available
 curl --version >nul 2>&1
 if "%ERRORLEVEL%" NEQ "0" (
    echo curl is not available on this system. Please install curl then re-run the script https://curl.se/ 
 	echo or perform a manual installation of a Conda Python environment.
    goto end
 )
 :MainMenu
 cls
 echo.
 echo    %L_BLUE%ALLTALK WINDOWS SETUP UTILITY%RESET%
 echo.
 echo    INSTALLATION TYPE
 echo    1) I am using AllTalk as part of %L_GREEN%Text-generation-webui%RESET%
 echo    2) I am using AllTalk as a %L_GREEN%Standalone Application%RESET%
 echo.
 echo    9) %L_RED%Exit/Quit%RESET%
 echo.
 set /p UserOption="    Enter your choice: "
 if "%UserOption%"=="1" goto WebUIMenu
 if "%UserOption%"=="2" goto StandaloneMenu
 if "%UserOption%"=="9" goto End
 goto MainMenu
 :WebUIMenu
 cls
 echo.
 echo    %L_BLUE%TEXT-GENERATION-WEBUI SETUP%RESET%
 echo.
 echo    Please ensure you have started your Text-generation-webui Python 
 echo    environment. If you have NOT done this, please run %L_GREEN%cmd_windows.bat%RESET% 
 echo    in the %L_GREEN%text-generation-webui%RESET% folder and then re-run this script.
 echo.
 echo    BASE REQUIREMENTS
 echo    1) Install the requirements for a %L_GREEN%Nvidia machine%RESET%.
 echo    2) Install the requirements for a %L_GREEN%AMD or MAC machine%RESET%.
 echo.
 echo    OPTIONAL
 echo    3) Install the Finetuning requirements.
 echo    4) Install DeepSpeed v11.2 for CUDA %L_GREEN%11.8%RESET% and Python-3.11.x.
 echo    5) Install DeepSpeed v11.2 for CUDA %L_GREEN%12.1%RESET% and Python-3.11.x.
 echo    6) Uninstall DeepSpeed.
 echo.
 echo.   OTHER
 echo    7) Generate a diagnostics file.
 echo.
 echo    9) %L_RED%Exit/Quit%RESET%
 echo.
 set /p WebUIOption="Enter your choice: "
 if "%WebUIOption%"=="1" goto InstallNvidiaTextGen
 if "%WebUIOption%"=="2" goto InstallOtherTextGen
 if "%WebUIOption%"=="3" goto InstallFinetuneTextGen
 if "%WebUIOption%"=="4" goto InstallDeepSpeed118TextGen
 if "%WebUIOption%"=="5" goto InstallDeepSpeed121TextGen
 if "%WebUIOption%"=="6" goto UnInstallDeepSpeed
 if "%WebUIOption%"=="7" goto GenerateDiagsTextGen
 if "%WebUIOption%"=="9" goto End
 goto WebUIMenu
 :StandaloneMenu
 cls
 echo.
 echo    %L_BLUE%ALLTALK STANDALONE APPLICATION SETUP%RESET%
 echo.
 echo    BASE REQUIREMENTS
 echo    1) Install AllTalk as a Standalone Application
 echo.
 echo    OPTIONAL
 echo    2) Delete AllTalk's custom Python environment
 echo    3) Install the Finetuning requirements
 echo.
 echo.   OTHER
 echo    4) Generate a diagnostics file
 echo.
 echo    9) %L_RED%Exit/Quit%RESET%
 echo.
 set /p StandaloneOption="Enter your choice: "
 if "%StandaloneOption%"=="1" goto InstallCustomStandalone
 if "%StandaloneOption%"=="2" goto DeleteCustomStandalone
 if "%StandaloneOption%"=="3" goto InstallFinetuneStandalone
 if "%StandaloneOption%"=="4" goto GenerateDiagsStandalone
 if "%StandaloneOption%"=="9" goto End
 goto StandaloneMenu
 :InstallNvidiaTextGen
 pip install -r requirements_nvidia.txt
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    There was an error installing the Nvidia requirements.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 echo.
 Echo    Nvidia machine requirements installed successfully.
 Echo. 
 pause
 goto WebUIMenu
 :InstallOtherTextGen
 pip install -r requirements_other.txt
 if %ERRORLEVEL% neq 0 (
    echo. 
    echo    There was an error installing the Other requirements.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 echo.
 Echo    Other machine requirements installed successfully.
 Echo. 
 pause
 goto WebUIMenu
 :InstallFinetuneTextGen
 pip install -r requirements_finetune.txt
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    There was an error installing the Finetune requirements.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 Echo    Finetune requirements installed successfully. Please ensure you have installed CUDA 11.8.
 Echo    Finetune needs access to %L_GREEN%cublas64_11.dll%RESET% and will error if this is not setup correctly.
 Echo    Please see here for details %L_GREEN%https://github.com/erew123/alltalk_tts#-finetuning-a-model%RESET%
 Echo.
 pause
 goto WebUIMenu
 :InstallDeepSpeed118TextGen
 echo Downloading DeepSpeed...
 curl -LO https://github.com/erew123/alltalk_tts/releases/download/deepspeed/deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    Failed to download DeepSpeed wheel file.
    echo    Please check your internet connection or try again later.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 echo DeepSpeed wheel file downloaded successfully.
 echo Installing DeepSpeed...
 pip install deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
 if %ERRORLEVEL% neq 0 (
    echo. 
    echo    Failed to install DeepSpeed.
    echo    Please check if the wheel file is compatible with your system.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 echo.
 Echo    DeepSpeed installed successfully.
 Echo. 
 del deepspeed-0.11.2+cuda118-cp311-cp311-win_amd64.whl
 pause
 goto WebUIMenu
 :InstallDeepSpeed121TextGen
 echo Downloading DeepSpeed...
 curl -LO https://github.com/erew123/alltalk_tts/releases/download/deepspeed/deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    Failed to download DeepSpeed wheel file.
    echo    Please check your internet connection or try again later.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 echo    DeepSpeed wheel file downloaded successfully.
 echo    Installing DeepSpeed...
 pip install deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
 if %ERRORLEVEL% neq 0 (
    echo. 
    echo    Failed to install DeepSpeed.
    echo    Please check if the wheel file is compatible with your system.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 echo.
 Echo    DeepSpeed installed successfully.
 Echo. 
 del deepspeed-0.11.2+cuda121-cp311-cp311-win_amd64.whl
 pause
 goto WebUIMenu
 :UnInstallDeepSpeed
 pip uninstall deepspeed
 if %ERRORLEVEL% neq 0 (
    echo. 
    echo    There was an error uninstalling DeepSpeed.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto WebUIMenu
 )
 echo.
 Echo    DeepSpeed uninstalled successfully.
 Echo. 
 pause
 goto WebUIMenu
 :GenerateDiagsTextGen
 Python diagnostics.py
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    There was an error running diagnostics. Have you correctly started your 
    echo    Text-generation-webui Python environment with %L_GREEN%cmd_windows.bat%RESET%?
    echo.
    pause
    goto WebUIMenu
 )
 Echo.
 echo.
 Echo    Diagnostics.log generated. Please scroll up to look over the log.
 Echo. 
 pause
 goto WebUIMenu
 :InstallCustomStandalone
 set PATH=%PATH%;%SystemRoot%\system32
@rem Check if curl is available
 curl --version >nul 2>&1
 if "%ERRORLEVEL%" NEQ "0" (
    echo curl is not available on this system. Please install curl then re-run the script https://curl.se/ 
 	echo or perform a manual installation of a Conda Python environment.
    goto end
 )
 echo "%CD%"| findstr /C:" " >nul && echo This script relies on Miniconda which can not be silently installed under a path with spaces. Please correct your folder names and re-try installation. && goto exit
@rem Check for special characters in installation path
 set "SPCHARMESSAGE=WARNING: Special characters were detected in the installation path! This can cause the installation to fail!"
 echo "%CD%"| findstr /R /C:"[!#\$%&()\*+,;<=>?@\[\]\^`{|}~]" >nul && (
    call :PrintBigMessage %SPCHARMESSAGE%
 )
 set SPCHARMESSAGE=
@rem fix failed install when installing to a separate drive
 set TMP=%cd%\alltalk_environment
 set TEMP=%cd%\alltalk_environment
@rem deactivate existing conda envs as needed to avoid conflicts
 (call conda deactivate && call conda deactivate && call conda deactivate) 2>nul
@rem config
 set INSTALL_DIR=%cd%\alltalk_environment
 set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
 set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
 set MINICONDA_DOWNLOAD_URL=https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Windows-x86_64.exe
 set conda_exists=F
@rem figure out whether git and conda need to be installed
 call "%CONDA_ROOT_PREFIX%\_conda.exe" --version >nul 2>&1
 if "%ERRORLEVEL%" EQU "0" (
    set conda_exists=T
    call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
    goto RunScript
 )
@rem download and install conda if not installed
 echo Downloading Miniconda from %MINICONDA_DOWNLOAD_URL% to %INSTALL_DIR%\miniconda_installer.exe
 mkdir "%INSTALL_DIR%"
 call curl -Lk "%MINICONDA_DOWNLOAD_URL%" > "%INSTALL_DIR%\miniconda_installer.exe" || ( echo. && echo Miniconda failed to download. && goto end )
 echo Installing Miniconda to %CONDA_ROOT_PREFIX%
 start /wait "" "%INSTALL_DIR%\miniconda_installer.exe" /InstallationType=JustMe /NoShortcuts=1 /AddToPath=0 /RegisterPython=0 /NoRegistry=1 /S /D=%CONDA_ROOT_PREFIX%
 echo Miniconda version:
 call "%CONDA_ROOT_PREFIX%\_conda.exe" --version || ( echo. && echo Miniconda not found. && goto end )
@rem create the installer env
 echo Packages to install: %PACKAGES_TO_INSTALL%
 call "%CONDA_ROOT_PREFIX%\_conda.exe" create --no-shortcuts -y -k --prefix "%INSTALL_ENV_DIR%" python=3.11 || ( echo. && echo Conda environment creation failed. && goto end )
@rem check if conda environment was actually created
 if not exist "%INSTALL_ENV_DIR%\python.exe" ( echo. && echo Conda environment is empty. && goto end )
@rem activate installer env
 call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" || ( echo. && echo Miniconda hook not found. && goto end )
@rem Ask user for the type of requirements to install
 echo.
 echo    %L_BLUE%Choose the type of requirements to install%RESET%
 echo.
 echo    1. Nvidia graphics card machines
 echo    2. Other machines (mac, amd, etc)
 echo.
 set /p UserChoice="Enter your choice (1 or 2): "
@rem Install requirements based on user choice
 if "%UserChoice%" == "1" (
    echo.
    echo Installing Nvidia requirements...
    echo Downloading Pytorch with CUDA..
    pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --upgrade --force-reinstall --index-url https://download.pytorch.org/whl/cu121
    pip install numpy==1.24.4
    pip install typing-extensions>=4.8.0
    pip install networkx<3.0.0,>=2.5.0
    pip install fsspec>=2023.6.0
    pip install soundfile==0.12.1
    pip install uvicorn==0.24.0.post1
    pip install TTS==0.21.3
    pip install fastapi==0.104.1
    pip install Jinja2==3.1.2
    pip install requests==2.31.0
    pip install tqdm==4.66.1
    pip install importlib-metadata==4.8.1
    pip install packaging==23.2
    pip install pydantic==1.10.13
    pip install sounddevice==0.4.6
    pip install python-multipart==0.0.6
    echo Downloading DeepSpeed...
    curl -LO https://github.com/erew123/alltalk_tts/releases/download/DeepSpeed-12.7/deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
    echo Installing DeepSpeed...
    pip install deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
    del deepspeed-0.12.7+d058d4b-cp311-cp311-win_amd64.whl
 ) else (
    echo Installing requirements for other machines...
    pip install -r requirements_other.txt
 )
@rem Create start_environment.bat to run AllTalk environment
 echo @echo off > start_environment.bat
 echo cd /D "%~dp0" >> start_environment.bat
 echo set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda >> start_environment.bat
 echo set INSTALL_ENV_DIR=%cd%\alltalk_environment\env >> start_environment.bat
 echo call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" >> start_environment.bat
 echo exit >> start_environment.bat
@rem Create start_alltalk.bat to run AllTalk
 echo @echo off > start_alltalk.bat
 echo cd /D "%~dp0" >> start_alltalk.bat
 echo set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda >> start_alltalk.bat
 echo set INSTALL_ENV_DIR=%cd%\alltalk_environment\env >> start_alltalk.bat
 echo call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%" >> start_alltalk.bat
 echo call python script.py >> start_alltalk.bat
 echo exit >> start_alltalk.bat
 Echo.
 Echo    start_alltalk.bat has been created.
 Echo    You can now start AllTalk with %L_YELLOW%start_alltalk.bat%RESET%
 Echo.
 pause
 goto StandaloneMenu
 :DeleteCustomStandalone
@rem Check if the alltalk_environment directory exists
 if not exist "%cd%\alltalk_environment\" (
    echo.
    echo    %L_GREEN%alltalk_environment%RESET% directory does not exist. No need to delete.
    echo.
    pause
    goto StandaloneMenu
 )
@rem Check if a Conda environment is active
 if not defined CONDA_PREFIX goto NoCondaEnvDeleteCustomStandalone
@rem Deactivate Conda environment if it's active
 Echo    Exiting the Conda Environment. Please run %L_GREEN%atsetup.bat%RESET% again and delete the environment.
 conda deactivate
 :NoCondaEnvDeleteCustomStandalone
 echo Deleting "alltalk_environment". Please wait.
 rd /s /q "alltalk_environment"
 del start_alltalk.bat
 del start_environment.bat
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    Failed to delete alltalk_environment folder.
    echo    Please make sure it is not in use and try again.
    echo.
    pause
    goto StandaloneMenu
 )
 echo.
 Echo.
 echo    Environment %L_GREEN%alltalk_environment%RESET% deleted. Please set up the environment again.
 Echo.
 pause
 goto StandaloneMenu
 :InstallFinetuneStandalone
 cd /D "%~dp0"
 set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
 set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
@rem Check if the Conda environment exists
 if not exist "%INSTALL_ENV_DIR%\python.exe" (
    echo.
    echo    The Conda environment at "%INSTALL_ENV_DIR%" does not exist.
    echo    Please install the environment before proceeding.
    echo.
    pause
    goto StandaloneMenu
 )
@rem Attempt to activate the Conda environment
 call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
 if errorlevel 1 (
    echo. 
    echo    Failed to activate the Conda environment.
    echo    Please check your installation and try again.
    echo.
    pause
    goto StandaloneMenu
 )
@rem Proceed with installing requirements
 pip install -r requirements_finetune.txt
 if %ERRORLEVEL% neq 0 (
    echo. 
    echo    There was an error installing the Finetune requirements.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto StandaloneMenu
 )
 Echo.
 Echo    Finetune requirements installed successfully. Please ensure you have installed CUDA 11.8.
 Echo    Finetune needs access to %L_GREEN%cublas64_11.dll%RESET% and will error if this is not setup correctly.
 Echo    Please see here for details %L_GREEN%https://github.com/erew123/alltalk_tts#-finetuning-a-model%RESET%
 Echo.
 pause
 goto StandaloneMenu
 :GenerateDiagsStandalone
 cd /D "%~dp0"
 set CONDA_ROOT_PREFIX=%cd%\alltalk_environment\conda
 set INSTALL_ENV_DIR=%cd%\alltalk_environment\env
@rem Check if the Conda environment exists
 if not exist "%INSTALL_ENV_DIR%\python.exe" (
    echo.
    echo    The Conda environment at "%INSTALL_ENV_DIR%" does not exist.
    echo    Please install the environment before proceeding.
    echo. 
    pause
    goto StandaloneMenu
 )
@rem Attempt to activate the Conda environment
 call "%CONDA_ROOT_PREFIX%\condabin\conda.bat" activate "%INSTALL_ENV_DIR%"
 if errorlevel 1 (
    echo. 
    echo    Failed to activate the Conda environment.
    echo    Please check your installation and try again.
    echo.
    pause
    goto StandaloneMenu
 )
@rem Run diagnostics
 Python diagnostics.py
 if %ERRORLEVEL% neq 0 (
    echo.
    echo    There was an error running diagnostics.
    echo    Press any key to return to the menu.
    echo.
    pause
    goto StandaloneMenu
 )
 Echo.
 Echo.
 Echo    Diagnostics.log generated. Please scroll up to look over the log.
 Echo.
 pause
 goto StandaloneMenu
 :End
 echo Exiting AllTalk Setup Utility...
 exit /b
@@ -0,0 +1,440 @@
 #!/bin/bash
 # ANSI color codes
 RED='\033[1;31m'
 GREEN='\033[1;32m'
 YELLOW='\033[1;33m'
 BLUE='\033[1;34m'
 CYAN='\033[1;36m'
 MAGENTA='\033[1;35m'
 WHITE='\033[1;37m'
 L_RED='\033[1;91m'
 L_GREEN='\033[1;92m'
 L_YELLOW='\033[1;93m'
 L_BLUE='\033[1;94m'
 L_CYAN='\033[1;96m'
 L_MAGENTA='\033[1;95m'
 NC='\033[0m' # No Color
 # Navigate to the script's directory
 cd "$(dirname "$0")"
 # Function to check if curl is installed
 check_curl() {
    if ! command -v curl &> /dev/null; then
        echo "curl is not available on this system. Please install curl then re-run the script https://curl.se/"
        echo "or perform a manual installation of a Conda Python environment."
        exit 1
    fi
 }
 # Main Menu
 main_menu() {
    while true; do
        clear
        echo
        echo -e "    ${L_BLUE}ALLTALK LINUX SETUP UTILITY${NC}"
        echo
        echo "    INSTALLATION TYPE"
        echo -e "    1) I am using AllTalk as part of ${L_GREEN}Text-generation-webui${NC}"
        echo -e "    2) I am using AllTalk as a ${L_GREEN}Standalone Application${NC}"
        echo
        echo -e "    9)${L_RED} Exit/Quit${NC}"
        echo
        read -p "    Enter your choice: " user_option
        case $user_option in
            1) webui_menu ;;
            2) standalone_menu ;;
            9) exit 0 ;;
            *) echo "Invalid option"; sleep 2 ;;
        esac
    done
 }
 # Text-generation-webui Menu
 webui_menu() {
    while true; do
        clear
        echo
        echo -e "    ${L_BLUE}TEXT-GENERATION-WEBUI SETUP${NC}"
        echo
        echo -e "    Please ensure you have started your Text-generation-webui Python"
        echo -e "    environment. If you have NOT done this, please run ${L_GREEN}/cmd_linux.sh${NC}"
        echo -e "    in the ${L_GREEN}text-generation-webui${NC} folder and then re-run this script."
        echo
        echo "    BASE REQUIREMENTS"
        echo -e "    1) Install the AllTalk requirements for an ${L_GREEN}Nvidia GPU machine.${NC}"
        echo -e "    2) Install the AllTalk requirements for an ${L_GREEN}AMD or MAC machine.${NC}"
        echo
        echo "    OPTIONAL"
        echo "    3) Install the Finetuning requirements."
        echo "    4) Install DeepSpeed."
        echo "    5) Uninstall DeepSpeed."
        echo
        echo "    OTHER"
        echo "    6) Generate a diagnostics file."
        echo
        echo -e "    9)${L_RED} Exit/Quit${NC}"
        echo
        read -p "    Enter your choice: " webui_option
        case $webui_option in
            1) install_nvidia_textgen ;;
            2) install_other_textgen ;;
            3) install_finetune_textgen ;;
            4) install_deepspeed ;;
            5) uninstall_deepspeed ;;
            6) generate_diagnostics_textgen ;;
            9) exit 0 ;;
            *) echo "Invalid option"; sleep 2 ;;
        esac
    done
 }
 install_nvidia_textgen() {
    local requirements_file="requirements_nvidia.txt"
    echo "    Installing Finetune requirements from $requirements_file..."
    if ! pip install -r "$requirements_file"; then
        echo "    There was an error installing the Nvidia requirements."
        echo "    Please check the output for details."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo "    Nvidia requirements installed successfully."
    read -p "    Press any key to continue. " -n 1
    echo
 }
 install_other_textgen() {
    local requirements_file="requirements_other.txt"
    echo "    Installing Other machine requirements from $requirements_file..."
    if ! pip install -r "$requirements_file"; then
        echo "    There was an error installing the Other requirements."
        echo "    Please check the output for details."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo "    Other machine requirements installed successfully."
    read -p "    Press any key to continue. " -n 1
    echo
 }
 install_finetune_textgen() {
    local requirements_file="requirements_finetune.txt"
    echo "    Installing Finetune requirements from $requirements_file..."
    if ! pip install -r "$requirements_file"; then
        echo "    There was an error installing the Finetune requirements."
        echo "    Please check the output for details."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo
    echo "    Finetune base requirements installed successfully."
    echo
    echo -e "    Finetuning requires access to ${GREEN}Cublas${NC} from the ${GREEN}Nvidia CUDA Toolkit${NC}, so will need installing."
    echo
    echo -e "    Instructions can be found here:"
    echo -e "    ${GREEN}https://github.com/erew123/alltalk_tts?#-finetuning-a-model${NC}"
    echo
    read -p "    Press any key to continue. " -n 1
    echo
 }
 # Function to install DeepSpeed
 install_deepspeed() {
    clear
    echo
    echo -e "    ${L_BLUE}DEEPSPEED INSTALLATION REQUIREMENTS${NC}"
    echo
    echo -e "    - NVIDIA CUDA Toolkit must be installed from your ${L_GREEN}Linux package manager${NC}"
    echo -e "      or ${L_GREEN}https://developer.nvidia.com/cuda-toolkit-archive${NC}"
    echo -e "    - The environment variable ${L_GREEN}CUDA_HOME${NC} must be set in your Python env"
    echo -e "      e.g. export CUDA_HOME=/usr/local/cuda."
    echo -e "    - ${L_GREEN}libaio-dev${NC} must be installed."
    echo
    echo -e "    See the following link for full instructions:"
    echo -e "    ${L_GREEN}https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options${NC}"
    echo
    echo -e "    ${L_BLUE}Please ${L_RED}confirm${L_BLUE} that you have completed these steps before continuing" 
    echo -e "    with the DeepSpeed installation, or the install ${L_RED}will fail.${NC}"
    echo
    read -p "    Have you completed all the above steps? (y/n): " confirm
    if [ "$confirm" != "y" ]; then
        echo -e "    ${RED}DeepSpeed installation cannot proceed without completing the prerequisites.${NC}"
        return
    fi
    echo -e "\n    ${GREEN}Proceeding with DeepSpeed installation...${NC}"
    pip install deepspeed
    if [ $? -ne 0 ]; then
        echo -e "    ${RED}There was an error installing DeepSpeed.${NC}"
        return
    fi
    echo -e "    ${GREEN}DeepSpeed installed successfully.${NC}"
    read -p "    Press any key to continue. " -n 1
    echo
 }
 uninstall_deepspeed() {
    echo "Uninstalling DeepSpeed..."
    pip uninstall -y deepspeed
    if [ $? -ne 0 ]; then
        echo "    There was an error uninstalling DeepSpeed."
        echo "    Press any key to return to the menu."
        read -n 1
        return
    fi
    echo "    DeepSpeed uninstalled successfully."
    echo "    Press any key to continue."
    read -n 1
 }
 generate_diagnostics_textgen() {
    # Run diagnostics
    if ! python diagnostics.py; then
        echo "    There was an error running diagnostics."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo "    Diagnostics completed successfully."
    read -p "    Press any key to continue. " -n 1
    echo
 }
 # Standalone Menu
 standalone_menu() {
    while true; do
        clear
        echo
        echo -e "    ${L_BLUE}ALLTALK STANDALONE APPLICATION SETUP${NC}"
        echo
        echo "    BASE REQUIREMENTS"
        echo "    1) Install AllTalk as a Standalone Application"
        echo
        echo "    OPTIONAL"
        echo "    2) Delete AllTalk's custom Python environment"
        echo "    3) Install the Finetuning requirements"
        echo "    4) Install DeepSpeed."
        echo
        echo "    OTHER"        
        echo "    5) Generate a diagnostics file"
        echo
        echo -e "    9)${L_RED} Exit/Quit${NC}"
        echo
        read -p "    Enter your choice: " standalone_option
        case $standalone_option in
            1) install_custom_standalone ;;
            2) delete_custom_standalone ;;
            3) install_finetune_standalone ;;
            4) install_deepspeed ;;
            5) generate_diagnostics_standalone ;;
            9) exit 0 ;;
            *) echo "Invalid option"; sleep 2 ;;
        esac
    done
 }
 install_custom_standalone() {
    cd "$(dirname "${BASH_SOURCE[0]}")"
    if [[ "$(pwd)" =~ " " ]]; then
        echo "This script relies on Miniconda which can not be silently installed under a path with spaces."
        exit
    fi
    # Deactivate existing conda envs as needed to avoid conflicts
    { conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
    OS_ARCH=$(uname -m)
    case "${OS_ARCH}" in
        x86_64*)    OS_ARCH="x86_64" ;;
        arm64* | aarch64*) OS_ARCH="aarch64" ;;
        *)          echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit ;;
    esac
    # Config
    INSTALL_DIR="$(pwd)/alltalk_environment"
    CONDA_ROOT_PREFIX="${INSTALL_DIR}/conda"
    INSTALL_ENV_DIR="${INSTALL_DIR}/env"
    MINICONDA_DOWNLOAD_URL="https://repo.anaconda.com/miniconda/Miniconda3-py310_23.3.1-0-Linux-${OS_ARCH}.sh"
    if [ ! -x "${CONDA_ROOT_PREFIX}/bin/conda" ]; then
        echo "Downloading Miniconda from $MINICONDA_DOWNLOAD_URL to ${INSTALL_DIR}/miniconda_installer.sh"
        mkdir -p "${INSTALL_DIR}"
        curl -L "${MINICONDA_DOWNLOAD_URL}" -o "${INSTALL_DIR}/miniconda_installer.sh"
        chmod +x "${INSTALL_DIR}/miniconda_installer.sh"
        bash "${INSTALL_DIR}/miniconda_installer.sh" -b -p "${CONDA_ROOT_PREFIX}"
        echo "Miniconda installed."
    fi
    if [ ! -d "${INSTALL_ENV_DIR}" ]; then
        "${CONDA_ROOT_PREFIX}/bin/conda" create -y --prefix "${INSTALL_ENV_DIR}" python=3.11
        echo "Conda environment created at ${INSTALL_ENV_DIR}."
    fi
    # Activate the environment and install requirements
    source "${CONDA_ROOT_PREFIX}/etc/profile.d/conda.sh"
    conda activate "${INSTALL_ENV_DIR}"
    echo
    echo -e "    ${L_BLUE}Choose the type of requirements to install${NC}"
    echo
    echo "    1. Nvidia graphics card machines"
    echo "    2. Other machines (mac, amd, etc)"
    echo
    read -p "    Enter your choice (1 or 2): " user_choice
    if [ "$user_choice" == "1" ]; then
    	pip install torch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 --upgrade --force-reinstall --index-url https://download.pytorch.org/whl/cu121
    	pip install numpy==1.24.4
 	pip install typing-extensions>=4.8.0
 	pip install networkx<3.0.0,>=2.5.0
    	pip install fsspec>=2023.6.0
 	pip install soundfile==0.12.1
    	pip install uvicorn==0.24.0.post1
    	pip install TTS==0.21.3
    	pip install fastapi==0.104.1
    	pip install Jinja2==3.1.2
    	pip install requests==2.31.0
    	pip install tqdm==4.66.1
    	pip install importlib-metadata==4.8.1
    	pip install packaging==23.2
    	pip install pydantic==1.10.13
    	pip install sounddevice==0.4.6
    	pip install python-multipart==0.0.6
    else
        pip install -r requirements_other.txt
    fi
    # Create start_environment.sh to run AllTalk
    cat << EOF > start_environment.sh
 #!/bin/bash
 cd "$(dirname "${BASH_SOURCE[0]}")"
 if [[ "$(pwd)" =~ " " ]]; then echo This script relies on Miniconda which can not be silently installed under a path with spaces. && exit; fi
 # deactivate existing conda envs as needed to avoid conflicts
 { conda deactivate && conda deactivate && conda deactivate; } 2> /dev/null
 # config
 CONDA_ROOT_PREFIX="$(pwd)/alltalk_environment/conda"
 INSTALL_ENV_DIR="$(pwd)/alltalk_environment/env"
 # environment isolation
 export PYTHONNOUSERSITE=1
 unset PYTHONPATH
 unset PYTHONHOME
 export CUDA_PATH="$INSTALL_ENV_DIR"
 export CUDA_HOME="$CUDA_PATH"
 # activate env
 bash --init-file <(echo "source \"$CONDA_ROOT_PREFIX/etc/profile.d/conda.sh\" && conda activate \"$INSTALL_ENV_DIR\"")
 EOF
    # Create start_alltalk.sh to run AllTalk
    cat << EOF > start_alltalk.sh
 #!/bin/bash
 source "${CONDA_ROOT_PREFIX}/etc/profile.d/conda.sh"
 conda activate "${INSTALL_ENV_DIR}"
 python script.py
 EOF
    chmod +x start_alltalk.sh
    chmod +x start_environment.sh
    echo
    echo
    echo -e "    start_alltalk.sh has been created."
    echo -e "    You can now start AllTalk with ${L_YELLOW}./start_alltalk.sh${NC}"
    echo
    read -p "    Press any key to continue. " -n 1
 }
 delete_custom_standalone() {
    local env_dir="$PWD/alltalk_environment"
    # Check if the alltalk_environment directory exists
    if [ ! -d "$env_dir" ]; then
        echo "    \"$env_dir\" directory does not exist. No need to delete."
        read -p "    Press any key to continue. " -n 1
        echo
        return
    fi
    # Check if a Conda environment is active and deactivate it
    if [ -n "$CONDA_PREFIX" ]; then
        echo "    Exiting the Conda environment. You may need to start ./atstart.sh again"
        conda deactivate
    fi
    echo "Deleting \"$env_dir\". Please wait."
    rm -rf "$env_dir"
    if [ -d "$env_dir" ]; then
        echo "    Failed to delete \"$env_dir\" folder."
        echo "    Please make sure it is not in use and try again."
    else
        echo "    Environment \"$env_dir\" deleted successfully."
    fi
    read -p "    Press any key to continue. " -n 1
    echo
 }
 install_finetune_standalone() {
    local env_dir="$PWD/alltalk_environment"
    local conda_root_prefix="${env_dir}/conda"
    local install_env_dir="${env_dir}/env"
    if [ ! -d "${install_env_dir}" ]; then
        echo "    The Conda environment at '${install_env_dir}' does not exist."
        echo "    Please install the environment before proceeding."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    source "${conda_root_prefix}/etc/profile.d/conda.sh"
    conda activate "${install_env_dir}"
    local requirements_file="requirements_finetune.txt"
    echo "Installing Finetune requirements from $requirements_file..."
    if ! pip install -r "$requirements_file"; then
        echo "    There was an error installing the Finetune requirements."
        echo "    Please check the output for details."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo
    echo "    Finetune base requirements installed successfully."
    echo
    echo -e "    Finetuning requires access to ${GREEN}Cublas${NC} from the ${GREEN}Nvidia CUDA Toolkit${NC}, so will need installing."
    echo
    echo -e "    Instructions can be found here:"
    echo -e "    ${GREEN}https://github.com/erew123/alltalk_tts?#-finetuning-a-model${NC}"
    echo
    read -p "    Press any key to continue. " -n 1
    echo
 }
 generate_diagnostics_standalone() {
    local env_dir="$PWD/alltalk_environment"
    local conda_root_prefix="${env_dir}/conda"
    local install_env_dir="${env_dir}/env"
    if [ ! -d "${install_env_dir}" ]; then
        echo "    The Conda environment at '${install_env_dir}' does not exist."
        echo "    Please install the environment before proceeding."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    source "${conda_root_prefix}/etc/profile.d/conda.sh"
    conda activate "${install_env_dir}"
    if ! python diagnostics.py; then
        echo "    There was an error running diagnostics."
        read -p "    Press any key to return to the menu. " -n 1
        echo
        return
    fi
    echo "    Diagnostics completed successfully."
    read -p "    Press any key to continue. " -n 1
    echo
 }
 # Start the main menu
 main_menu
@@ -215,6 +215,13 @@ def log_system_info():
            # Print colored output
            print(f"{package_name.ljust(max_package_length)}  Required: {color_required}{operator} {required_version.ljust(12)}\033[0m  Installed: {color_installed}{installed_version}\033[0m")
        print("\nOn Nvidia Graphics cards machines, if your \033[92mInstalled\033[0m version of \033[92mTorch\033[0m and \033[92mTorchaudio\033[0m does")    
        print("not have \033[92m+cu118\033[0m (Cuda 11.8) or \033[92m+cu121\033[0m (Cuda 12.1) listed after them, you do not have CUDA")
        print("installed for Torch or Torchaudio in this Python environment. This will cause you problems")
        print("with \033[94mAllTalk\033[0m and \033[94mFinetuning.\033[0m You may have to 'pip install' a new version of torch and")
        print("torchaudio, using '\033[94m--upgrade --force-reinstall\033[0m' with the correct version of PyTorch for\033[0m")
        print("your Python environment.\033[0m")
        print("\033[94m\nRequirements file specifier meanings:\033[0m")
        explanation = textwrap.dedent("""
        == Exact version              != Any version except          < Less than               
@@ -917,7 +917,9 @@ if __name__ == "__main__":
                #### &nbsp;&nbsp;&nbsp;&nbsp; - Place your audio files in <span style="color: #3366ff;">{str(audio_folder)}</span>                
                #### &nbsp;&nbsp;&nbsp;&nbsp; - Your audio samples can be in the format <span style="color: #3366ff;">mp3, wav,</span> or <span style="color: #3366ff;">flac.</span>
                #### &nbsp;&nbsp;&nbsp;&nbsp; - You will need a minimum of <span style="color: #3366ff;">2 minutes</span> of audio in either one or multiple audio files. Very small sample files cause errors, so I would suggest 30 seconds and longer samples. 
-                #### &nbsp;&nbsp;&nbsp;&nbsp; - When you have completed Steps 1, 2, and 3, you are welcome to delete your samples from "put-voice-samples-in-here".<br>
+                #### &nbsp;&nbsp;&nbsp;&nbsp; - When you have completed Steps 1, 2, and 3, you are welcome to delete your samples from "put-voice-samples-in-here".
                #### &nbsp;&nbsp;&nbsp;&nbsp; - FYI Anecdotal evidence suggests that the Whisper 2 model may yield superior results in audio splitting and dataset creation.
                #### &nbsp;&nbsp;&nbsp;&nbsp; - If this step is failing, it will be worth running the diagnostics with atsetup and confirming you have cu118 or cu112 listed against your torch and torchaudio.<br>
                ### 🟨 <u>What this step is doing</u>
                #### &nbsp;&nbsp;&nbsp;&nbsp; - With step one, we are going to be stripping your audio file(s) into smaller files, using Whisper to find spoken words/sentences, compile that into excel sheets of training data, ready for finetuning the model on Step 2.
                #### &nbsp;&nbsp;&nbsp;&nbsp; - Whilst you can choose multiple Whisper models, its best only to use the 1 model as each one is about 3GB in size and will download to your local huggingface cache on first-time use. If and when you have completed training, you wish to delete this 3GB model from your system, you are welcome to do so.
@@ -237,10 +237,12 @@ process = subprocess.Popen(["python", script_path])
 # Check if the subprocess has started successfully
 if process.poll() is None:
    print(f"[{params['branding']}Startup] TTS Subprocess starting")
    print(f"[{params['branding']}Startup]")
    print(
-        f"[{params['branding']}Startup] Readme available here:",
+        f"[{params['branding']}Startup] \033[94mSettings & Documentation:\033[00m",
-        f"http://{params['ip_address']}:{params['port_number']}",
+        f"\033[92mhttp://{params['ip_address']}:{params['port_number']}\033[00m",
    )
    print(f"[{params['branding']}Startup]")
 else:
    print(
        f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess Webserver failing to start process"
@@ -509,8 +511,53 @@ def voice_preview(string):
        return f"[{params['branding']}Server] Audio generation failed. Status: {generate_response.get('status')}"
-def replace_asterisk(match):
+def process_text(text):
-    return match.group(0) + '&quot;<*'
+    # 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 ####
@@ -520,6 +567,7 @@ 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
@@ -530,82 +578,55 @@ def output_modifier(string, state):
    if process_lock.acquire(blocking=False):
        try:
            if params["narrator_enabled"]:
-                # Do Some basic stripping and remove any double CR's
+                processed_parts = process_text(original_string)
-                processed_string = (
+
                    original_string
                    .replace("***", "*")
                    .replace("**", "*")
                    .replace("\n\n", "\n")
                    .replace("\n", "")
                )
                processed_string = re.sub(r'\.\*\n\*', '. ', processed_string)
                processed_string = (processed_string .replace('&quot;\n\n*', '&quot;<*'))
                processed_string = (processed_string .replace('&quot;\n', '< '))
                processed_string = (processed_string .replace("&#x27;", "'"))
                processed_string = (processed_string .replace("\n", " "))
                processed_string = (processed_string .replace('&quot;', '&quot;<'))
                processed_string = (processed_string .replace('"', '&quot;<'))
                #pattern = re.compile(r'(?<=[a-zA-Z!])&quot;<(?=[a-zA-Z])')
                pattern = re.compile(r'(?<=[a-zA-Z!?\.])&quot;<(?=[a-zA-Z])')
                processed_string = pattern.sub('&quot; ', processed_string)
                pattern = re.compile(r'(?<=[a-zA-Z])\*(?=[a-zA-Z])')
                processed_string = pattern.sub('*&quot;', processed_string)
                processed_string = processed_string.replace('&quot;<. *', '&quot;< *"')
                processed_string = processed_string.replace('< *"', '< *')
                processed_string = processed_string.replace('. *', '< *')
                processed_string = processed_string.replace('! *', '&quot;< *')
                processed_string = processed_string.replace('? *', '< *')
                processed_string = processed_string.replace('* ', '* &quot;<')
                processed_string = processed_string.replace('*. ', '* &quot;<')
                processed_string = re.sub(r'\*(?=[a-zA-Z])', replace_asterisk, 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()) <= 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"]
-                    # Generate that TTS and output to a file
+                        voice_description = "\033[36mCharacter (Text-not-inside)\033[0m" if non_quoted_text_is else "\033[92mNarrator (Text-not-inside)\033[0m"
                        print(f"[{params['branding']}TTSGen] {voice_description}")
                    # Replace multiple exclamation marks, question marks, or other punctuation with a single instance
                    cleaned_part = re.sub(r'([!?.])\1+', r'\1', part)
                    # Further clean to remove any other unwanted characters
                    cleaned_part = re.sub(r'[^a-zA-Z0-9\s\.,;:!?\-\'"\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_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')
@@ -713,101 +734,20 @@ 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)"):
        with gr.Row():
-            activate = gr.Checkbox(value=params["activate"], label="Activate TTS")
+            activate = gr.Checkbox(value=params['activate'], label='Enable TTS')
-            autoplay = gr.Checkbox(
+            autoplay = gr.Checkbox(value=params['autoplay'], label='Autoplay TTS')
-                value=params["autoplay"], label="Play TTS automatically"
+            show_text = gr.Checkbox(value=params['show_text'], label='Show Text')
            )
        with gr.Row():
-            show_text = gr.Checkbox(
+            low_vram = gr.Checkbox(value=params['low_vram'], label='Enable Low VRAM Mode')
                value=params["show_text"], label="Show message text under audio player"
            )
            remove_trailing_dots = gr.Checkbox(
                value=params["remove_trailing_dots"],
                label='Remove trailing "." from text segments before generation',
            )
        with gr.Row():
            with gr.Row():
                available_voices = get_available_voices()
                default_voice = params["voice"]
                # Check if the default voice is in the list of available voices
                if default_voice not in available_voices:
                    # Handle the case where the default voice is not in the list (choose a default value or update it)
                    default_voice = available_voices[
                        0
                    ]  # Choose the first available voice as the default
                # Add allow_custom_value=True to the Dropdown
                voice = gr.Dropdown(
                    available_voices,
                    label="Default Voice",
                    value=default_voice,
                    allow_custom_value=True,
                )
                create_refresh_button(
                    voice,
                    lambda: None,
                    lambda: {
                        "choices": get_available_voices(),
                        "value": params["voice"],
                    },
                    "refresh-button",
                )
            language = gr.Dropdown(
                languages.keys(),
                label="Language",
                allow_custom_value=True,
                value=params["language"],
            )
        with gr.Row():
            with gr.Row():
                narrator_voice_gr = gr.Dropdown(
                    get_available_voices(),
                    label="Narrator Voice",
                    allow_custom_value=True,
                    value=params["narrator_voice"],
                )
                create_refresh_button(
                    narrator_voice_gr,
                    lambda: None,
                    lambda: {
                        "choices": get_available_voices(),
                        "value": params["narrator_voice"],
                    },
                    "refresh-button",
                )
                narrator_enabled_gr = gr.Radio(
                    choices={"Enabled": "true", "Disabled": "false"},
                    label="Narrator Activation",
                    value="Enabled" if params.get("narrator_enabled") else "Disabled",
                )
                non_quoted_text_is_gr = gr.Radio(
                    choices={"Char": "true", "Narrator": "false"},
                    label='Text NOT inside of * or " is',
                    value="Char" if non_quoted_text_is else "Narrator",
                )
        with gr.Row():
            low_vram = gr.Checkbox(
                value=params["low_vram"], label="Low VRAM mode (Read NOTE)"
            )
            low_vram_play = gr.HTML(visible=False)
-            deepspeed_checkbox = gr.Checkbox(
+            deepspeed_checkbox = gr.Checkbox(value=params['deepspeed_activate'], label='Enable DeepSpeed', visible=deepspeed_installed)
                value=params["deepspeed_activate"],
                label="Activate DeepSpeed (Read NOTE)",
                visible=deepspeed_installed,
            )
            deepspeed_checkbox_play = gr.HTML(visible=False)
            remove_trailing_dots = gr.Checkbox(value=params['remove_trailing_dots'], label='Remove trailing "."')
        with gr.Row():
            model_loader_choices=["API TTS", "API Local", "XTTSv2 Local"]
@@ -815,13 +755,37 @@ def ui():
                model_loader_choices.append("XTTSv2 FT")
            tts_radio_buttons = gr.Radio(
                choices=model_loader_choices,
-                label="Select TTS Generation Method (Read NOTE)",
+                label="TTS Method (Each method sounds slightly different)",
                value=gr_modelchoice,  # Set the default value
            )
            tts_radio_buttons_play = gr.HTML(visible=False)
            with gr.Row():
                available_voices = get_available_voices()
                default_voice = params["voice"] # Check if the default voice is in the list of available voices
                if default_voice not in available_voices:
                    default_voice = available_voices[ 0 ] # Choose the first available voice as the default
                # Add allow_custom_value=True to the Dropdown
                voice = gr.Dropdown(available_voices, label="Character Voice", value=default_voice, allow_custom_value=True, )
                create_refresh_button(voice, lambda: None, lambda: {"choices": get_available_voices(), "value": params["voice"],}, "refresh-button",)
        with gr.Row():
            language = gr.Dropdown(languages.keys(), label="Language", value=params["language"])
            with gr.Row():
                narrator_voice_gr = gr.Dropdown(get_available_voices(), label="Narrator Voice", allow_custom_value=True, value=params["narrator_voice"])
                create_refresh_button(narrator_voice_gr, lambda: None, lambda: {"choices": get_available_voices(), "value": params["narrator_voice"],}, "refresh-button")
        # Temperature and Repetition Penalty (Not yet parsed to api/implemented)
        # with gr.Row():
        #     local_temperature_gr = gr.Slider(minimum=0, maximum=1, step=0.05, label="Temperature", value=params["local_temperature"])
        #     local_repetition_penalty_gr = gr.Slider(minimum=0, maximum=20, step=0.5, label="Repetition Penalty", value=params["local_repetition_penalty"])
        with gr.Row():
            with gr.Row():
                narrator_enabled_gr = gr.Radio(choices={"Enabled": "true", "Disabled": "false"}, label="Narrator", value="Enabled" if params.get("narrator_enabled") else "Disabled")
                non_quoted_text_is_gr = gr.Radio(choices={"Character": "true", "Narrator": "false"}, label='Unmarked text NOT inside of * or " is', value="Character" if non_quoted_text_is else "Narrator")
                explanation_text = gr.HTML(
-                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."
+                f"<p>⚙️ <a href='http://{params['ip_address']}:{params['port_number']}'>Settings and Documentation Page</a><a href='http://{params['ip_address']}:{params['port_number']}'></a>⚙️<br>- Low VRAM Mode and Deepspeed take 15 seconds to be enabled or disabled.<br>- The DeepSpeed checkbox is only visible if DeepSpeed is present.</p>")
            )
        with gr.Row():
            preview_text = gr.Text(
@@ -900,6 +864,11 @@ def ui():
    voice.change(lambda x: params.update({"voice": x}), voice, None)
    language.change(lambda x: params.update({"language": x}), language, None)
    # TS Settings (Not yet parsed to api/implemented)
    # local_temperature_gr.change(lambda x: params.update({"local_temperature": x}), local_temperature_gr, None)
    # local_repetition_penalty_gr.change(lambda x: params.update({"local_repetition_penalty": x}), local_repetition_penalty_gr, None)
    # Narrator selection actions
    narrator_enabled_gr.change(update_narrator_enabled, narrator_enabled_gr, None)
    non_quoted_text_is_gr.change(update_non_quoted_text_is, non_quoted_text_is_gr, None)
@@ -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 +1,938 @@
 import { doExtrasFetch, getApiUrl, modules } from '../../extensions.js';
 import { saveTtsProviderSettings } from './index.js';
 export { AllTalkTtsProvider };
 const css = `
 .settings-row {
    display: flex;
    justify-content: space-between; /* Distribute space evenly between the children */
    align-items: center;
    width: 100%; /* Full width to spread out the children */
 }
 .settings-option {
    flex: 1; /* Each child will take equal space */
    margin: 0 10px; /* Adjust spacing as needed */
 }
 .endpoint-option {
    flex: 1; /* Each child will take equal space */
    margin: 0 10px; /* Adjust spacing as needed */
    margin-right: 25px;
    width: 38%; /* Full width to spread out the children */
 }
 .website-row {
    display: flex;
    justify-content: start; /* Aligns items to the start of the row */
    align-items: center;
    margin-top: 10px; /* Top margin */
    margin-bottom: 10px; /* Bottom margin */
 }
 .website-option {
    flex: 1; /* Allows each option to take equal space */
    margin-right: 10px; /* Spacing between the two options, adjust as needed */
    margin-left: 10px; /* Adjust this value to align as desired */
    /* Remove the individual margin top and bottom declarations if they are set globally on the .settings-row */
 }
 .settings-separator {
    margin-top: 10px;
    margin-bottom: 10px;
    padding: 18x;
    font-weight: bold;
    border-top: 1px solid #e1e1e1; /* Grey line */
    border-bottom: 1px solid #e1e1e1; /* Grey line */
    text-align: center;
 }
 .status-message {
    flex: 1; /* Adjust as needed */
    margin: 0 10px;
    /* Additional styling */
 }
 .model-endpoint-row {
    display: flex;
    justify-content: space-between;
    align-items: center;
    width: 100%;
 }
 .model-option, .endpoint-option {
    flex: 1;
    margin: 0 10px;
    margin-left: 10px; /* Adjust this value to align as desired */
    /* Adjust width as needed to fit in one line */
 }
 .endpoint-option {
    /* Adjust width to align with model dropdown */
    width: 38%;
 }
 #status_info {
    color: lightgreen; /* Or any specific shade of green you prefer */
 }
 `;
 const style = document.createElement('style');
 style.type = 'text/css';
 style.appendChild(document.createTextNode(css));
 document.head.appendChild(style);
 class AllTalkTtsProvider {
    //########//
    // Config //
    //########//
    settings;
    ready = false;
    voices = [];
    separator = '. ';
    audioElement = document.createElement('audio');
    languageLabels = {
        'Arabic': 'ar',
        'Brazilian Portuguese': 'pt',
        'Chinese': 'zh-cn',
        'Czech': 'cs',
        'Dutch': 'nl',
        'English': 'en',
        'French': 'fr',
        'German': 'de',
        'Italian': 'it',
        'Polish': 'pl',
        'Russian': 'ru',
        'Spanish': 'es',
        'Turkish': 'tr',
        'Japanese': 'ja',
        'Korean': 'ko',
        'Hungarian': 'hu',
        'Hindi': 'hi',
    };
    Settings = {
        provider_endpoint: 'http://localhost:7851',
        language: 'en',
        voiceMap: {},
        at_generation_method: 'standard_generation',
        narrator_enabled: 'false',
        at_narrator_text_not_inside: 'narrator',
        narrator_voice_gen: 'female_01.wav',
        finetuned_model: 'false'
    };
    get settingsHtml() {
        let html = `<div class="settings-separator">AllTalk Settings</div>`;
        html += `<div class="settings-row">
        <div class="settings-option">
            <label for="at_generation_method">AllTalk TTS Generation Method</label>
                <select id="at_generation_method">
                <option value="standard_generation">Standard Audio Generation (AT Narrator - Optional)</option>
                <option value="streaming_enabled">Streaming Audio Generation (AT Narrator - Disabled)</option>
        </select>
        </div>
        </div>`;
        html += `<div class="settings-row">
        <div class="settings-option">
            <label for="at_narrator_enabled">AT Narrator</label>
                <select id="at_narrator_enabled">
                <option value="true">Enabled</option>
                <option value="false">Disabled</option>
        </select>
        </div>
        <div class="settings-option">
            <label for="at_narrator_text_not_inside">Text Not Inside * or " is</label>
                <select id="at_narrator_text_not_inside">
                <option value="narrator">Narrator</option>
                <option value="character">Character</option>
        </select>
        </div>
    </div>`;
        html += `<div class="settings-row">
        <div class="settings-option">
            <label for="narrator_voice">Narrator Voice</label>
            <select id="narrator_voice">`;
        if (this.voices) {
            for (let voice of this.voices) {
                html += `<option value="${voice.voice_id}">${voice.name}</option>`;
            }
        }
        html += `</select>
        </div>
        <div class="settings-option">
            <label for="language_options">Language</label>
            <select id="language_options">`;
        for (let language in this.languageLabels) {
            html += `<option value="${this.languageLabels[language]}" ${this.languageLabels[language] === this.settings?.language ? 'selected="selected"' : ''}>${language}</option>`;
        }
        html += `</select>
        </div>
    </div>`;
        html += `<div class="model-endpoint-row">
    <div class="model-option">
            <label for="switch_model">Switch Model</label>
            <select id="switch_model">
            <option value="api_tts">API TTS</option>
            <option value="api_local">API Local</option>
            <option value="xttsv2_local">XTTSv2 Local</option>
        </select>
        </div>
        <div class="endpoint-option">
            <label for="at_server">AllTalk Endpoint:</label>
            <input id="at_server" type="text" class="text_pole" maxlength="80" value="${this.Settings.provider_endpoint}"/>
        </div>
   </div>`;
        html += `<div class="model-endpoint-row">
    <div class="settings-option">
        <label for="low_vram">Low VRAM</label>
        <input id="low_vram" type="checkbox"/>
    </div>
    <div class="settings-option">
        <label for="deepspeed">DeepSpeed</label>
        <input id="deepspeed" type="checkbox"/>
    </div>
    <div class="settings-option status-option">
        <span>Status: <span id="status_info">Ready</span></span>
    </div>
    <div class="settings-option empty-option">
        <!-- This div remains empty for spacing -->
    </div>
 </div>`;
        html += `<div class="website-row">
        <div class="website-option">
        <span>AllTalk <a target="_blank" href="${this.Settings.provider_endpoint}">Config & Docs</a>.</span>
    </div>
    <div class="website-option">
        <span>AllTalk <a target="_blank" href="https://github.com/erew123/alltalk_tts/">Website</a>.</span>
    </div>
 </div>`;
 html += `<div class="website-row">
 <div class="website-option">
 <span><strong>Text-generation-webui</strong> users - Uncheck <strong>Enable TTS</strong> in Text-generation-webui.</span>
 </div>
 </div>`;
        return html;
    }
    //#################//
    // Startup ST & AT //
    //#################//
    async loadSettings(settings) {
        updateStatus('Offline');
        // Use default settings if no settings are provided
        this.settings = Object.keys(settings).length === 0 ? this.Settings : settings;
        try {
            // Check if TTS provider is ready
            await this.checkReady();
            await this.fetchTtsVoiceObjects(); // Fetch voices only if service is ready
            await this.updateSettingsFromServer();
            this.updateNarratorVoicesDropdown();
            this.updateLanguageDropdown();
            this.setupEventListeners();
            this.applySettingsToHTML();
            updateStatus('Ready');
        } catch (error) {
            console.error("Error loading settings:", error);
            // Set status to Error if there is an issue in loading settings
            updateStatus('Offline');
        }
    }
    applySettingsToHTML() {
        // Load AllTalk specific settings first
        const loadedSettings = loadAllTalkSettings();
        // Apply loaded settings or use defaults
        this.settings = loadedSettings ? { ...this.Settings, ...loadedSettings } : this.Settings;
        const narratorVoiceSelect = document.getElementById('narrator_voice');
        const atNarratorSelect = document.getElementById('at_narrator_enabled');
        const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
        const generationMethodSelect = document.getElementById('at_generation_method');
        // Apply settings to Narrator Voice dropdown
        if (narratorVoiceSelect && this.settings.narrator_voice) {
            narratorVoiceSelect.value = this.settings.narrator_voice.replace('.wav', '');
            this.settings.narrator_voice_gen = this.settings.narrator_voice;
            //console.log(this.settings.narrator_voice_gen)
        }
        // Apply settings to AT Narrator Enabled dropdown
        if (atNarratorSelect) {
            //console.log(this.settings.narrator_enabled)
            // Sync the state with the checkbox in index.js
            const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
            const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
            const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
            // Sync the state with the checkbox in index.js
            if (this.settings.narrator_enabled) {
                ttsPassAsterisksCheckbox.checked = false;
                $('#tts_pass_asterisks').click(); // Simulate a click event
                $('#tts_pass_asterisks').trigger('change');
            }
            if (!this.settings.narrator_enabled) {
                ttsPassAsterisksCheckbox.checked = true;
                $('#tts_pass_asterisks').click(); // Simulate a click event
                $('#tts_pass_asterisks').trigger('change');
            }
            // Uncheck and set tts_narrate_quoted to false if narrator is enabled
            if (this.settings.narrator_enabledd) {
                ttsNarrateQuotedCheckbox.checked = true;
                ttsNarrateDialoguesCheckbox.checked = true;
                // Trigger click events instead of change events
                $('#tts_narrate_quoted').click();
                $('#tts_narrate_quoted').trigger('change');
                $('#tts_narrate_dialogues').click();
                $('#tts_narrate_dialogues').trigger('change');
            }
            atNarratorSelect.value = this.settings.narrator_enabled.toString();
            this.settings.narrator_enabled = this.settings.narrator_enabled.toString();
        }
        // Apply settings to the Language dropdown
        const languageSelect = document.getElementById('language_options');
        if (languageSelect && this.settings.language) {
            languageSelect.value = this.settings.language;
            //console.log(this.settings.language)
        }
        // Apply settings to Text Not Inside dropdown
        if (textNotInsideSelect && this.settings.text_not_inside) {
            textNotInsideSelect.value = this.settings.text_not_inside;
            this.settings.at_narrator_text_not_inside = this.settings.text_not_inside;
            //console.log(this.settings.at_narrator_text_not_inside)
        }
        // Apply settings to Generation Method dropdown
        if (generationMethodSelect && this.settings.at_generation_method) {
            generationMethodSelect.value = this.settings.at_generation_method;
            //console.log(this.settings.at_generation_method)
        }
        // Additional logic to disable/enable dropdowns based on the selected generation method
        const isStreamingEnabled = this.settings.at_generation_method === 'streaming_enabled';
        if (isStreamingEnabled) {
            // Disable certain dropdowns when streaming is enabled
            if (atNarratorSelect) atNarratorSelect.disabled = true;
            if (textNotInsideSelect) textNotInsideSelect.disabled = true;
            if (narratorVoiceSelect) narratorVoiceSelect.disabled = true;
        } else {
            // Enable dropdowns for standard generation
            if (atNarratorSelect) atNarratorSelect.disabled = false;
            if (textNotInsideSelect) textNotInsideSelect.disabled = !this.settings.narrator_enabled;
            if (narratorVoiceSelect) narratorVoiceSelect.disabled = !this.settings.narrator_enabled;
        }
        const modelSelect = document.getElementById('switch_model');
        if (this.settings.finetuned_model === 'true') {
            const ftOption = document.createElement('option');
            ftOption.value = 'XTTSv2 FT';
            ftOption.textContent = 'XTTSv2 FT';
            modelSelect.appendChild(ftOption);
        }
        //console.log("Settings applied to HTML.");
    }
    //##############################//
    // Check AT Server is Available //
    //##############################//
    async checkReady() {
        try {
            const response = await fetch(`${this.settings.provider_endpoint}/api/ready`);
            // Check if the HTTP request was successful
            if (!response.ok) {
                throw new Error(`HTTP Error Response: ${response.status} ${response.statusText}`);
            }
            const statusText = await response.text();
            // Check if the response is 'Ready'
            if (statusText === 'Ready') {
                this.ready = true; // Set the ready flag to true
                console.log('TTS service is ready.');
            } else {
                this.ready = false;
                console.log('TTS service is not ready.');
            }
        } catch (error) {
            console.error('Error checking TTS service readiness:', error);
            this.ready = false; // Ensure ready flag is set to false in case of error
        }
    }
    //######################//
    // Get Available Voices //
    //######################//
    async fetchTtsVoiceObjects() {
        const response = await fetch(`${this.settings.provider_endpoint}/api/voices`);
        if (!response.ok) {
            const errorText = await response.text();
            throw new Error(`HTTP ${response.status}: ${errorText}`);
        }
        const data = await response.json();
        const voices = data.voices.map(filename => {
            const voiceName = filename.replace('.wav', '');
            return {
                name: voiceName,
                voice_id: voiceName,
                preview_url: null, // Preview URL will be dynamically generated
                lang: 'en' // Default language
            };
        });
        this.voices = voices; // Assign to the class property
        return voices; // Also return this list
    }
    //##########################################//
    // Get Current AT Server Config & Update ST //
    //##########################################//
    async updateSettingsFromServer() {
        try {
            // Fetch current settings
            const response = await fetch(`${this.settings.provider_endpoint}/api/currentsettings`);
            if (!response.ok) {
                throw new Error(`Failed to fetch current settings: ${response.statusText}`);
            }
            const currentSettings = await response.json();
            // Update internal settings
            this.settings.modelsAvailable = currentSettings.models_available;
            this.settings.currentModel = currentSettings.current_model_loaded;
            this.settings.deepspeed_available = currentSettings.deepspeed_available;
            this.settings.deepSpeedEnabled = currentSettings.deepspeed_status;
            this.settings.lowVramEnabled = currentSettings.low_vram_status;
            this.settings.finetuned_model = currentSettings.finetuned_model
            // Update HTML elements
            this.updateModelDropdown();
            this.updateCheckboxes();
        } catch (error) {
            console.error(`Error updating settings from server: ${error}`);
        }
    }
    //###################################################//
    // Get Current AT Server Config & Update ST (Models) //
    //###################################################//
    updateModelDropdown() {
        const modelSelect = document.getElementById('switch_model');
        if (modelSelect) {
            modelSelect.innerHTML = ''; // Clear existing options
            this.settings.modelsAvailable.forEach(model => {
                const option = document.createElement('option');
                option.value = model.model_name;
                option.textContent = model.model_name; // Use model_name instead of name
                option.selected = model.model_name === this.settings.currentModel;
                modelSelect.appendChild(option);
            });
        }
    }
    //#######################################################//
    // Get Current AT Server Config & Update ST (DS and LVR) //
    //#######################################################//
    updateCheckboxes() {
        const deepspeedCheckbox = document.getElementById('deepspeed');
        const lowVramCheckbox = document.getElementById('low_vram');
        if (lowVramCheckbox) lowVramCheckbox.checked = this.settings.lowVramEnabled;
        if (deepspeedCheckbox) {
            deepspeedCheckbox.checked = this.settings.deepSpeedEnabled;
            deepspeedCheckbox.disabled = !this.settings.deepspeed_available; // Disable checkbox if deepspeed is not available
        }
    }
    //###############################################################//
    // Get Current AT Server Config & Update ST (AT Narrator Voices) //
    //###############################################################//
    updateNarratorVoicesDropdown() {
        const narratorVoiceSelect = document.getElementById('narrator_voice');
        if (narratorVoiceSelect && this.voices) {
            // Clear existing options
            narratorVoiceSelect.innerHTML = '';
            // Add new options
            for (let voice of this.voices) {
                const option = document.createElement('option');
                option.value = voice.voice_id;
                option.textContent = voice.name;
                narratorVoiceSelect.appendChild(option);
            }
        }
    }
    //######################################################//
    // Get Current AT Server Config & Update ST (Languages) //
    //######################################################//
    updateLanguageDropdown() {
        const languageSelect = document.getElementById('language_options');
        if (languageSelect) {
            // Ensure default language is set
            this.settings.language = this.Settings.language;
            languageSelect.innerHTML = '';
            for (let language in this.languageLabels) {
                const option = document.createElement('option');
                option.value = this.languageLabels[language];
                option.textContent = language;
                if (this.languageLabels[language] === this.settings.language) {
                    option.selected = true;
                }
                languageSelect.appendChild(option);
            }
        }
    }
    //########################################//
    // Start AT TTS extenstion page listeners //
    //########################################//
    setupEventListeners() {
        let debounceTimeout;
        const debounceDelay = 500; // Milliseconds
        // Define the event handler function
        const onModelSelectChange = async (event) => {
            console.log("Model select change event triggered"); // Debugging statement
            const selectedModel = event.target.value;
            console.log(`Selected model: ${selectedModel}`); // Debugging statement 
            // Set status to Processing
            updateStatus('Processing');
            try {
                const response = await fetch(`${this.settings.provider_endpoint}/api/reload?tts_method=${encodeURIComponent(selectedModel)}`, {
                    method: 'POST'
                });
                if (!response.ok) {
                    throw new Error(`HTTP Error: ${response.status}`);
                }
                const data = await response.json();
                console.log("POST response data:", data); // Debugging statement 
                // Set status to Ready if successful
                updateStatus('Ready');
            } catch (error) {
                console.error("POST request error:", error); // Debugging statement
                // Set status to Error in case of failure
                updateStatus('Error');
            }
            // Handle response or error
        };
        const debouncedModelSelectChange = (event) => {
            clearTimeout(debounceTimeout);
            debounceTimeout = setTimeout(() => {
                onModelSelectChange(event);
            }, debounceDelay);
        };
        // Switch Model Listener
        const modelSelect = document.getElementById('switch_model');
        if (modelSelect) {
            // Remove the event listener if it was previously added
            modelSelect.removeEventListener('change', debouncedModelSelectChange);
            // Add the debounced event listener
            modelSelect.addEventListener('change', debouncedModelSelectChange);
        }
        // DeepSpeed Listener
        const deepspeedCheckbox = document.getElementById('deepspeed');
        if (deepspeedCheckbox) {
            deepspeedCheckbox.addEventListener('change', async (event) => {
                const deepSpeedValue = event.target.checked ? 'True' : 'False';
                // Set status to Processing
                updateStatus('Processing');
                try {
                    const response = await fetch(`${this.settings.provider_endpoint}/api/deepspeed?new_deepspeed_value=${deepSpeedValue}`, {
                        method: 'POST'
                    });
                    if (!response.ok) {
                        throw new Error(`HTTP Error: ${response.status}`);
                    }
                    const data = await response.json();
                    console.log("POST response data:", data); // Debugging statement
                    // Set status to Ready if successful
                    updateStatus('Ready');
                } catch (error) {
                    console.error("POST request error:", error); // Debugging statement
                    // Set status to Error in case of failure
                    updateStatus('Error');
                }
            });
        }
        // Low VRAM Listener
        const lowVramCheckbox = document.getElementById('low_vram');
        if (lowVramCheckbox) {
            lowVramCheckbox.addEventListener('change', async (event) => {
                const lowVramValue = event.target.checked ? 'True' : 'False';
                // Set status to Processing
                updateStatus('Processing');
                try {
                    const response = await fetch(`${this.settings.provider_endpoint}/api/lowvramsetting?new_low_vram_value=${lowVramValue}`, {
                        method: 'POST'
                    });
                    if (!response.ok) {
                        throw new Error(`HTTP Error: ${response.status}`);
                    }
                    const data = await response.json();
                    console.log("POST response data:", data); // Debugging statement
                    // Set status to Ready if successful
                    updateStatus('Ready');
                } catch (error) {
                    console.error("POST request error:", error); // Debugging statement
                    // Set status to Error in case of failure
                    updateStatus('Error');
                }
            });
        }
        // Narrator Voice Dropdown Listener
        const narratorVoiceSelect = document.getElementById('narrator_voice');
        if (narratorVoiceSelect) {
            narratorVoiceSelect.addEventListener('change', (event) => {
                this.settings.narrator_voice_gen = `${event.target.value}.wav`;
                this.onSettingsChangeAllTalk(); // Save the settings after change
            });
        }
        const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
        if (textNotInsideSelect) {
            textNotInsideSelect.addEventListener('change', (event) => {
                this.settings.text_not_inside = event.target.value;
                this.onSettingsChangeAllTalk(); // Save the settings after change
            });
        }
        // AT Narrator Dropdown Listener
        const atNarratorSelect = document.getElementById('at_narrator_enabled');
        const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
        const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
        const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
        if (atNarratorSelect && textNotInsideSelect && narratorVoiceSelect) {
            atNarratorSelect.addEventListener('change', (event) => {
                const isNarratorEnabled = event.target.value === 'true';
                this.settings.narrator_enabled = isNarratorEnabled; // Update the setting here
                textNotInsideSelect.disabled = !isNarratorEnabled;
                narratorVoiceSelect.disabled = !isNarratorEnabled;
                // Sync the state with the checkbox in index.js
                if (isNarratorEnabled) {
                    ttsPassAsterisksCheckbox.checked = false;
                    $('#tts_pass_asterisks').click(); // Simulate a click event
                    $('#tts_pass_asterisks').trigger('change');
                }
                if (!isNarratorEnabled) {
                    ttsPassAsterisksCheckbox.checked = true;
                    $('#tts_pass_asterisks').click(); // Simulate a click event
                    $('#tts_pass_asterisks').trigger('change');
                }
                // Uncheck and set tts_narrate_quoted to false if narrator is enabled
                if (isNarratorEnabled) {
                    ttsNarrateQuotedCheckbox.checked = true;
                    ttsNarrateDialoguesCheckbox.checked = true;
                    // Trigger click events instead of change events
                    $('#tts_narrate_quoted').click();
                    $('#tts_narrate_quoted').trigger('change');
                    $('#tts_narrate_dialogues').click();
                    $('#tts_narrate_dialogues').trigger('change');
                }
                this.onSettingsChangeAllTalk(); // Save the settings after change
            });
        }
        // Event Listener for AT Generation Method Dropdown
        const atGenerationMethodSelect = document.getElementById('at_generation_method');
        const atNarratorEnabledSelect = document.getElementById('at_narrator_enabled');
        if (atGenerationMethodSelect) {
            atGenerationMethodSelect.addEventListener('change', (event) => {
                const selectedMethod = event.target.value;
                if (selectedMethod === 'streaming_enabled') {
                    // Disable and unselect AT Narrator
                    atNarratorEnabledSelect.disabled = true;
                    atNarratorEnabledSelect.value = 'false';
                    textNotInsideSelect.disabled = true;
                    narratorVoiceSelect.disabled = true;
                } else if (selectedMethod === 'standard_generation') {
                    // Enable AT Narrator
                    atNarratorEnabledSelect.disabled = false;
                }
                this.settings.at_generation_method = selectedMethod; // Update the setting here
                this.onSettingsChangeAllTalk(); // Save the settings after change
            });
        }
        // Listener for Language Dropdown
        const languageSelect = document.getElementById('language_options');
        if (languageSelect) {
            languageSelect.addEventListener('change', (event) => {
                this.settings.language = event.target.value;
                this.onSettingsChangeAllTalk(); // Save the settings after change
            });
        }
    }
    //#############################//
    // Store ST interface settings //
    //#############################//
    onSettingsChange() {
        // Update settings that SillyTavern will save
        this.settings.provider_endpoint = $('#at_server').val();
        this.settings.language = $('#language_options').val();
        saveTtsProviderSettings(); // This function should save settings handled by SillyTavern
        // Call the function to handle AllTalk specific settings
        this.onSettingsChangeAllTalk(); // Save the settings after change
    }
    onSettingsChangeAllTalk() {
        // Update AllTalk specific settings and save to localStorage
        this.settings.narrator_enabled = $('#at_narrator_enabled').val() === 'true';
        this.settings.narrator_voice = $('#narrator_voice').val() + '.wav'; // assuming you need to append .wav
        this.settings.text_not_inside = $('#at_narrator_text_not_inside').val(); // "character" or "narrator"
        this.settings.at_generation_method = $('#at_generation_method').val(); // Streaming or standard
        this.settings.language = $('#language_options').val(); // Streaming or standard
        // Call the save function with the current settings
        saveAllTalkSettings({
            narrator_voice: this.settings.narrator_voice,
            narrator_enabled: this.settings.narrator_enabled,
            text_not_inside: this.settings.text_not_inside,
            at_generation_method: this.settings.at_generation_method,
            language: this.settings.language
        });
    }
    //#########################//
    // ST Handle Reload button //
    //#########################//
    async onRefreshClick() {
        await this.checkReady(); // Check if the TTS provider is ready
        await this.loadSettings(this.settings); // Reload the settings
        // Additional actions as needed
    }
    //##################//
    // Preview AT Voice //
    //##################//
    async previewTtsVoice(voiceName) {
        try {
            // Prepare data for POST request
            const postData = new URLSearchParams();
            postData.append("voice", `${voiceName}.wav`);
            // Making the POST request
            const response = await fetch(`${this.settings.provider_endpoint}/api/previewvoice/`, {
                method: "POST",
                headers: {
                    'Content-Type': 'application/x-www-form-urlencoded'
                },
                body: postData,
            });
            if (!response.ok) {
                const errorText = await response.text();
                console.error(`[previewTtsVoice] Error Response Text:`, errorText);
                throw new Error(`HTTP ${response.status}: ${errorText}`);
            }
            // Assuming the server returns a URL to the .wav file
            const data = await response.json();
            if (data.output_file_url) {
                // Use an audio element to play the .wav file
                const audioElement = new Audio(data.output_file_url);
                audioElement.play().catch(e => console.error("Error playing audio:", e));
            } else {
                console.warn("[previewTtsVoice] No output file URL received in the response");
                throw new Error("No output file URL received in the response");
            }
        } catch (error) {
            console.error("[previewTtsVoice] Exception caught during preview generation:", error);
            throw error;
        }
    }
    //#####################//
    //  Populate ST voices //
    //#####################//
    async getVoice(voiceName, generatePreview = false) {
        // Ensure this.voices is populated
        if (this.voices.length === 0) {
            // Fetch voice objects logic
        }
        // Find the object where the name matches voiceName
        const match = this.voices.find(voice => voice.name === voiceName);
        if (!match) {
            // Error handling
        }
        // Generate preview URL only if requested
        if (!match.preview_url && generatePreview) {
            // Generate preview logic
        }
        return match; // Return the found voice object
    }
    //##########################################//
    //  Generate TTS Streaming or call Standard //
    //##########################################//
    async generateTts(inputText, voiceId) {
        try {
            if (this.settings.at_generation_method === 'streaming_enabled') {
                // For streaming method
                const streamingUrl = `${this.settings.provider_endpoint}/api/tts-generate-streaming?text=${encodeURIComponent(inputText)}&voice=${encodeURIComponent(voiceId)}.wav&language=${encodeURIComponent(this.settings.language)}&output_file=stream_output.wav`;
                const audioElement = new Audio(streamingUrl);
                audioElement.play(); // Play the audio stream directly
                console.log("Streaming URL:", streamingUrl);
                return new Response(null, {
                    status: 200,
                    statusText: "OK",
                    headers: {
                        "Content-Type": "audio/wav",
                        "Content-Location": streamingUrl
                    }
                });
            } else {
                // For standard method
                const outputUrl = await this.fetchTtsGeneration(inputText, voiceId);
                // Fetch the audio data as a blob from the URL
                const audioResponse = await fetch(outputUrl);
                if (!audioResponse.ok) {
                    throw new Error(`HTTP ${audioResponse.status}: Failed to fetch audio data`);
                }
                const audioBlob = await audioResponse.blob();
                if (!audioBlob.type.startsWith('audio/')) {
                    throw new Error(`Invalid audio data format. Expecting audio/*, got ${audioBlob.type}`);
                }
                return new Response(audioBlob, {
                    status: 200,
                    statusText: "OK",
                    headers: {
                        "Content-Type": audioBlob.type
                    }
                });
            }
        } catch (error) {
            console.error("Error in generateTts:", error);
            throw error;
        }
    }
    //####################//
    //  Generate Standard //
    //####################//
    async fetchTtsGeneration(inputText, voiceId) {
        // Prepare the request payload
        const requestBody = new URLSearchParams({
            'text_input': inputText,
            'text_filtering': "standard",
            'character_voice_gen': voiceId + ".wav",
            'narrator_enabled': this.settings.narrator_enabled,
            'narrator_voice_gen': this.settings.narrator_voice_gen,
            'text_not_inside': this.settings.text_not_inside,
            'language': this.settings.language,
            'output_file_name': "st_output",
            'output_file_timestamp': "true",
            'autoplay': "false",
            'autoplay_volume': "0.8"
        }).toString();
        try {
            const response = await doExtrasFetch(
                `${this.settings.provider_endpoint}/api/tts-generate`,
                {
                    method: 'POST',
                    headers: {
                        'Content-Type': 'application/x-www-form-urlencoded',
                        'Cache-Control': 'no-cache',
                    },
                    body: requestBody
                }
            );
            if (!response.ok) {
                const errorText = await response.text();
                console.error(`[fetchTtsGeneration] Error Response Text:`, errorText);
                // Uncomment the following line if you have a UI element for displaying errors
                // toastr.error(response.statusText, 'TTS Generation Failed');
                throw new Error(`HTTP ${response.status}: ${errorText}`);
            }
            const data = await response.json();
            const outputUrl = data.output_file_url;
            return outputUrl; // Return only the output_file_url
        } catch (error) {
            console.error("[fetchTtsGeneration] Exception caught:", error);
            throw error; // Rethrow the error for further handling
        }
    }
 }
 //#########################//
 //  Update Status Messages //
 //#########################//
 function updateStatus(message) {
    const statusElement = document.getElementById('status_info');
    if (statusElement) {
        statusElement.textContent = message;
        switch (message) {
            case 'Offline':
                statusElement.style.color = 'red';
                break;
            case 'Ready':
                statusElement.style.color = 'lightgreen';
                break;
            case 'Processing':
                statusElement.style.color = 'blue';
                break;
            case 'Error':
                statusElement.style.color = 'red';
                break;
            // Add more cases as needed
        }
    }
 }
 //########################//
 //  Save/load AT Settings //
 //########################//
 function saveAllTalkSettings(settingsToSave) {
    // Save the specific settings to localStorage
    console.log("settings", settingsToSave)
    localStorage.setItem('AllTalkSettings', JSON.stringify(settingsToSave));
 }
 function loadAllTalkSettings() {
    // Retrieve the settings from localStorage
    const settings = localStorage.getItem('AllTalkSettings');
    // If settings exist, parse them back into an object
    if (settings) {
        return JSON.parse(settings);
    }
    return null;
 }
@@ -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 @@
 var e={d:(t,n)=>{for(var r in n)e.o(n,r)&&!e.o(t,r)&&Object.defineProperty(t,r,{enumerable:!0,get:n[r]})},o:(e,t)=>Object.prototype.hasOwnProperty.call(e,t)},t={};function n(e){return n="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},n(e)}function r(e){return function(e){if(Array.isArray(e))return a(e)}(e)||function(e){if("undefined"!=typeof Symbol&&null!=e[Symbol.iterator]||null!=e["@@iterator"])return Array.from(e)}(e)||function(e,t){if(!e)return;if("string"==typeof e)return a(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);"Object"===n&&e.constructor&&(n=e.constructor.name);if("Map"===n||"Set"===n)return Array.from(e);if("Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n))return a(e,t)}(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function a(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n<t;n++)r[n]=e[n];return r}function o(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function i(e,t){for(var r=0;r<t.length;r++){var a=t[r];a.enumerable=a.enumerable||!1,a.configurable=!0,"value"in a&&(a.writable=!0),Object.defineProperty(e,(o=a.key,i=void 0,i=function(e,t){if("object"!==n(e)||null===e)return e;var r=e[Symbol.toPrimitive];if(void 0!==r){var a=r.call(e,t||"default");if("object"!==n(a))return a;throw new TypeError("@@toPrimitive must return a primitive value.")}return("string"===t?String:Number)(e)}(o,"string"),"symbol"===n(i)?i:String(i)),a)}var o,i}e.d(t,{Z:()=>u});var u=function(){function e(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{},n=t.sampleRate;o(this,e),this._context=this._createContext(n),n||(n=this._context.sampleRate),this._sampleRate=n}var t,n,a;return t=e,n=[{key:"_createContext",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:44100;return window.AudioContext=window.AudioContext||window.webkitAudioContext||window.mozAudioContext,new AudioContext({sampleRate:e})}},{key:"context",get:function(){return this._context}},{key:"fetchAudio",value:async function(){for(var e=this,t=arguments.length,n=new Array(t),r=0;r<t;r++)n[r]=arguments[r];return await Promise.all(n.map((async function(t){var n;return n=t instanceof File||t instanceof Blob?await t.arrayBuffer():await fetch(t).then((function(e){return e.headers.has("Content-Type")&&!e.headers.get("Content-Type").includes("audio/")&&console.warn("Crunker: Attempted to fetch an audio file, but its MIME type is `".concat(e.headers.get("Content-Type").split(";")[0],"`. We'll try and continue anyway. (file: \"").concat(t,'")')),e.arrayBuffer()})),await e._context.decodeAudioData(n)})))}},{key:"mergeAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._sampleRate*this._maxDuration(e),this._sampleRate);return e.forEach((function(e){for(var n=0;n<e.numberOfChannels;n++){for(var r=t.getChannelData(n),a=e.getChannelData(n),o=e.getChannelData(n).length-1;o>=0;o--)r[o]+=a[o];t.getChannelData(n).set(r)}})),t}},{key:"concatAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._totalLength(e),this._sampleRate),n=0;return e.forEach((function(e){for(var r=0;r<e.numberOfChannels;r++)t.getChannelData(r).set(e.getChannelData(r),n);n+=e.length})),t}},{key:"padAudio",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;if(0===n)return e;if(t<0)throw new Error('Crunker: Parameter "padStart" in padAudio must be positive');if(n<0)throw new Error('Crunker: Parameter "seconds" in padAudio must be positive');for(var r=this._context.createBuffer(e.numberOfChannels,Math.ceil(e.length+n*e.sampleRate),e.sampleRate),a=0;a<e.numberOfChannels;a++){var o=e.getChannelData(a);r.getChannelData(a).set(o.subarray(0,Math.ceil(t*e.sampleRate)+1),0),r.getChannelData(a).set(o.subarray(Math.ceil(t*e.sampleRate)+2,r.length+1),Math.ceil((t+n)*e.sampleRate))}return r}},{key:"sliceAudio",value:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;if(t>=n)throw new Error('Crunker: "start" time should be less than "end" time in sliceAudio method');for(var o=Math.round((n-t)*this._sampleRate),i=Math.round(t*this._sampleRate),u=this._context.createBuffer(e.numberOfChannels,o,this._sampleRate),l=0;l<e.numberOfChannels;l++)for(var s=e.getChannelData(l),c=u.getChannelData(l),f=0;f<o;f++)c[f]=s[i+f],f<r*this._sampleRate&&(c[f]*=f/(r*this._sampleRate)),f>o-a*this._sampleRate&&(c[f]*=(o-f)/(a*this._sampleRate));return u}},{key:"play",value:function(e){var t=this._context.createBufferSource();return t.buffer=e,t.connect(this._context.destination),t.start(),Line truncated
 //# sourceMappingURL=crunker.esm.js.map
@@ -0,0 +1 @@
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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 t?p[2]:t,r="number"!=typeof r?p[3]:r,o="number"!=typeof o?p[4]:o,i="number"!=typeof i?p[5]:i,"number"!=typeof e?p:(a._orientation=[e,n,t,r,o,i],void 0!==a.ctx.listener.forwardX?(a.ctx.listener.forwardX.setTargetAtTime(e,Howler.ctx.currentTime,.1),a.ctx.listener.forwardY.setTargetAtTime(n,Howler.ctx.currentTime,.1),a.ctx.listener.forwardZ.setTargetAtTime(t,Howler.ctx.currentTime,.1),a.ctx.listener.upX.setTargetAtTime(r,Howler.ctx.currentTime,.1),a.ctx.listener.upY.setTargetAtTime(o,Howler.ctx.currentTime,.1),a.ctx.listener.upZ.setTargetAtTime(i,Howler.ctx.currentTime,.1)):a.ctx.listener.setOrientation(e,n,t,r,o,i),a)},Howl.prototype.init=function(e){return function(n){var t=this;return t._orientation=n.orientation||[1,0,0],t._stereo=n.stereo||null,t._pos=n.pos||null,t._pannerAttr={coneInnerAngle:void 0!==n.coneInnerAngle?n.coneInnerAngle:360,coneOuterAngle:void 0!==n.coneOuterAngle?n.coneOuterAngle:360,coneOuterGain:void 0!==n.coneOuterGain?n.coneOuterGain:0,distanceModel:void 0!==n.distanceModel?n.distanceModel:"inverse",maxDistance:void 0!==n.maxDistance?n.maxDistance:1e4,panningModel:void 0!==n.panningModel?n.panningModel:"HRTF",refDistance:void 0!==n.refDistance?n.refDistance:1,rolloffFactor:void 0!==n.rolloffFactor?n.rolloffFactor:1},t._onstereo=n.onstereo?[{fn:n.onstereo}]:[],t._onpos=n.onpos?[{fn:n.onpos}]:[],t._onorientation=n.onorientation?[{fn:n.onorientation}]:[],e.call(this,n)}}(Howl.prototype.init),Howl.prototype.stereo=function(n,t){var r=this;if(!r._webAudio)return r;if("loaded"!==r._state)return r._queue.push({event:"stereo",action:function(){r.stereo(n,t)}}),r;var o=void 0===Howler.ctx.createStereoPanner?"spatial":"stereo";if(void 0===t){if("number"!=typeof n)return r._stereo;r._stereo=n,r._pos=[n,0,0]}for(var i=r._getSoundIds(t),a=0;a<i.length;a++){var p=r._soundById(i[a]);if(p){if("number"!=typeof n)return p._stereo;p._stereo=n,p._pos=[n,0,0],p._node&&(p._pannerAttr.panningModel="equalpower",p._panner&&p._panner.pan||e(p,o),"spatial"===o?void 0!==p._panner.positionX?(p._panner.positionX.setValueAtTime(n,Howler.ctx.currentTime),p._panner.positionY.setValueAtTime(0,Howler.ctx.currentTime),p._panner.positionZ.setValueAtTime(0,Howler.ctx.currentTime)):p._panner.setPosition(n,0,0):p._panner.pan.setValueAtTime(n,Howler.ctx.currentTime)),r._emit("stereo",p._id)}}return r},Howl.prototype.pos=function(n,t,r,o){var i=this;if(!i._webAudio)return i;if("loaded"!==i._state)return i._queue.push({event:"pos",action:function(){i.pos(n,t,r,o)}}),i;if(t="number"!=typeof t?0:t,r="number"!=typeof r?-.5:r,void 0===o){if("number"!=typeof n)return i._pos;i._pos=[n,t,r]}for(var a=i._getSoundIds(o),p=0;p<a.length;p++){var s=i._soundById(a[p]);if(s){if("number"!=typeof n)return s._pos;s._pos=[n,t,r],s._node&&(s._panner&&!s._panner.pan||e(s,"spatial"),void 0!==s._panner.positionX?(s._panner.positionX.setValueAtTime(n,Howler.ctx.currentTime),s._panner.positionY.setValueAtTime(t,Howler.ctx.currentTime),s._panner.positionZ.setValueAtTime(r,Howler.ctx.currentTime)):s._panner.setPosition(n,t,r)),i._emit("pos",s._id)}}return i},Howl.prototype.orientation=function(n,t,r,o){var i=this;if(!i._webAudio)return i;if("loaded"!==i._state)return i._queue.push({event:"orientation",action:function(){i.orientation(n,t,r,o)}}),i;if(t="number"!=typeof t?i._orientation[1]:t,r="number"!=typeof r?i._orientation[2]:r,void 0===o){if("number"!=typeof n)return i._orientation;i._orientation=[n,t,r]}for(var a=i._getSoundIds(o),p=0;p<a.length;p++){var s=i._soundById(a[p]);if(s){if("number"!=typeof n)return s._orientation;s._orientation=[n,t,r],s._node&&(s._panner||(s._pos||(s._pos=i._pos||[0,0,-.5]),e(s,"spatial")),void 0!==s._panner.orientationX?(s._panner.orientationX.setValueAtTime(n,Howler.ctx.currentTime),s._panner.orientationY.setValueAtTime(t,Howler.ctx.currentTime),s._panner.orientationZ.setValueAtTime(r,Howler.ctx.currentTime)):s._panner.setOrientation(n,t,r)),i._emit("orientation",s._id)}}return i},Howl.prototype.pannerAttr=function(){var n,t,r,o=this,i=arguments;if(!o._webAudioLine truncated
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 /*! For license information please see 1995fcd6d39cade7d871.js.LICENSE.txt */
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 <html>
 <head>
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    <title>AllTalk TTS Add-in</title>
    <script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
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            <option value="ru">Russian</option>
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            <div class="input-container"><label for="portNumber">Port Number:</label> <input type="number"
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        </div>
    </main>
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truncated
Author	SHA1	Message	Date
erew123	180adb45dd	Merge pull request #68 from erew123/dev Update to Main	2024-01-13 21:28:59 +00:00
erew123	5c0f08d49e	Update README.md	2024-01-13 21:23:47 +00:00
erew123	571872dbe2	Update README.md	2024-01-13 21:16:01 +00:00
erew123	467bfbea55	Applied UUID to API generated TTS To avoid over-writing if 2x generations happen quickly enough.	2024-01-13 21:07:18 +00:00
erew123	5a3cbb6366	Update README.md	2024-01-13 20:22:10 +00:00
erew123	2351e418fd	Changed demo endpoint	2024-01-13 20:13:38 +00:00
erew123	b987ff38a7	Update README.md	2024-01-13 20:07:22 +00:00
erew123	43899028e3	Update README.md	2024-01-13 19:59:10 +00:00
erew123	2c1ca8b2a3	Update README.md	2024-01-13 19:56:31 +00:00
erew123	139162c4e6	Update README.md	2024-01-13 19:55:24 +00:00
erew123	7da78ec045	Add files via upload	2024-01-13 19:39:58 +00:00
erew123	11c70c7432	Tidied console messages	2024-01-13 19:03:26 +00:00
erew123	c2822edb1b	Add files via upload	2024-01-13 18:53:12 +00:00
erew123	cba7ed7b88	Update README.md	2024-01-13 18:38:21 +00:00
erew123	471a26f2a4	Update README.md	2024-01-13 18:23:48 +00:00
erew123	34d1b81ae4	Update README.md	2024-01-13 18:20:35 +00:00
erew123	f1b4d4b8b6	Update README.md	2024-01-13 16:41:30 +00:00
erew123	c05237143b	Update README.md	2024-01-13 15:28:45 +00:00
erew123	c5846b832a	Update README.md	2024-01-13 14:59:38 +00:00
erew123	7a38730c56	Update README.md	2024-01-13 14:48:06 +00:00
erew123	0b1e6f8711	Update README.md	2024-01-13 14:47:05 +00:00
erew123	8c38e925dd	Update README.md	2024-01-13 14:46:04 +00:00
erew123	df70481934	Update README.md	2024-01-13 14:43:19 +00:00
erew123	e43c58a56e	Delete atstart.sh	2024-01-13 13:09:20 +00:00
erew123	8dc9304a4c	Update tts_server.py - _combined path corrected _combined on narrated without timestamp	2024-01-13 11:37:23 +00:00
erew123	102424669b	Update tts_server.py - URL file path no timestamp	2024-01-13 11:31:22 +00:00
erew123	5210d075c1	added an additional note to finetune.	2024-01-13 00:31:14 +00:00
erew123	30db974439	Update README.md	2024-01-12 16:17:55 +00:00
erew123	c2a558110b	Update README.md	2024-01-12 16:13:11 +00:00
erew123	83ac18b83f	Update README.md	2024-01-12 16:12:54 +00:00
erew123	6e36415746	Update README.md	2024-01-12 16:09:41 +00:00
erew123	fe7ffb535c	Delete atstart.sh	2024-01-12 15:31:45 +00:00
erew123	80b7fccb50	alltalk.sh adds env file.	2024-01-12 15:30:26 +00:00
erew123	2790ee9860	added environment routine to atsetup.bat	2024-01-12 14:42:31 +00:00
erew123	74ce2584cc	Update README.md	2024-01-12 14:27:53 +00:00
erew123	8dd11541b4	Update README.md	2024-01-12 14:05:44 +00:00
erew123	d1317b49f0	Merge pull request #64 from q5sys/patch-1 Update README.md	2024-01-12 13:51:24 +00:00
erew123	a50d5a5028	Merge branch 'dev' into patch-1	2024-01-12 13:51:17 +00:00
erew123	33264554cd	Update README.md	2024-01-12 13:46:02 +00:00
erew123	4a116e359a	updated atsetup.bat	2024-01-12 12:21:07 +00:00
erew123	36bfb17eda	Updated atsetup.sh	2024-01-12 11:30:12 +00:00
erew123	697fb098c3	Rename atstart.sh to atsetup.sh	2024-01-12 09:56:05 +00:00
q5sys (JT)	51a8e93df7	Update README.md Add specific section for deepspeed installation on linux for standalone app. Related to https://github.com/erew123/alltalk_tts/issues/62	2024-01-11 21:21:30 -05:00
erew123	257fa59e70	Linux atstart script	2024-01-11 23:26:59 +00:00
erew123	7dbad85fc3	Linux atstart script	2024-01-11 23:26:14 +00:00
erew123	510894c793	Delete start_standalone.bat	2024-01-11 22:21:06 +00:00
erew123	a85058a3ac	updated diagnostics	2024-01-11 20:47:13 +00:00
erew123	e54c7e4362	atsetup.bat first version of a simple setup file.	2024-01-11 20:13:28 +00:00
erew123	1f2ad303a0	Corrected ST setting TTS options	2024-01-11 20:05:16 +00:00
erew123	d4a04096c8	Made Server address more visible on startup	2024-01-10 18:28:55 +00:00
erew123	dd45008e88	Merge pull request #60 from S95Sedan/main Gui Overhaul	2024-01-10 18:13:06 +00:00
erew123	e9d9f54de6	Update script.py	2024-01-10 18:10:42 +00:00
erew123	3230397a82	Standalone installer script	2024-01-10 18:07:01 +00:00
S95Sedan	840889ac9a	Update script.py - Changed non_quoted_text_is_gr from "Char" to "Character"	2024-01-10 16:08:51 +01:00
S95Sedan	d3e061b127	Update script.py - GUI overhaul/cleanup. - Temperature and Repetition penalty in GUI (disabled) but not yet parsed to API	2024-01-10 15:35:13 +01:00
erew123	a428f67a2e	SillyTavern Support files. Just kept here for safe keeping.	2024-01-10 14:09:31 +00:00
erew123	b223e7b247	ST Documentation added	2024-01-10 14:04:25 +00:00
erew123	9296843508	Update README.md	2024-01-10 12:48:56 +00:00
erew123	f0c9e3e6bb	Update README.md	2024-01-10 12:40:20 +00:00
erew123	22de1bf0c6	Update README.md	2024-01-10 12:39:39 +00:00
erew123	621f5434a7	Update README.md	2024-01-10 12:38:59 +00:00
erew123	81c8354cf8	Update README.md	2024-01-10 11:53:49 +00:00
erew123	3bc55a91e5	Added streaming API & Current settings endpoint	2024-01-10 11:50:35 +00:00
erew123	fc857f464c	Merge pull request #59 from erew123/main merge main to dev	2024-01-10 11:49:34 +00:00
erew123	50aa6de96c	Uploading the correct version!!	2024-01-08 18:57:00 +00:00
erew123	10299194f8	Update README.md	2024-01-08 14:33:16 +00:00
erew123	d80d1ace3c	Update README.md	2024-01-08 13:31:40 +00:00
erew123	f19f4e9a29	Update README.md	2024-01-08 13:19:16 +00:00
erew123	7e4ceef0e8	Update README.md	2024-01-08 13:00:48 +00:00
erew123	c1bc1f26cd	Export split setting Avoids the 1GB file limit imposed by browsers and also lowers memory requirements per exported block.	2024-01-08 12:54:14 +00:00
erew123	70d385133d	JSON import pagination	2024-01-08 01:13:36 +00:00
erew123	13b2eb5fe3	Update README.md	2024-01-08 01:03:06 +00:00
erew123	ff4b9d9e99	Updates to reduce browser load Pagination of files list. No Playback option Better clearing of played back audio from memory	2024-01-08 00:56:36 +00:00
erew123	a22830f700	Update tts_chunk_player.html bumped sentence splitting	2024-01-07 21:33:33 +00:00
erew123	374c794fa9	Merge pull request #51 from nicobubulle/fix Fix greedy option for regex in HTML files	2024-01-07 20:59:13 +00:00
nicobubulle	d2adbd9c1e	Fix greedy option for regex in HTML files	2024-01-07 18:06:32 +01:00
erew123	1dc4b8bf50	Add $ to demo page regex	2024-01-07 08:38:39 +00:00
erew123	0eba72fc47	Merge pull request #50 from nicobubulle/fix Fix greedy option for regex	2024-01-07 08:32:24 +00:00
nicobubulle	f2c87dcdab	Fix greedy option for regex	2024-01-07 09:25:52 +01:00
erew123	4a727ce14a	Update README.md	2024-01-06 22:32:19 +00:00
erew123	6e15d43e63	Update README.md	2024-01-06 22:21:22 +00:00
erew123	dedc13b3b6	Update README.md	2024-01-06 22:05:10 +00:00
erew123	7cb206e531	Update README.md	2024-01-06 21:19:25 +00:00
erew123	4f80b39cd0	Update README.md	2024-01-06 20:49:58 +00:00
erew123	d5fa6bb46d	Merge pull request #49 from erew123/main merge main	2024-01-06 20:28:20 +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	e5acc8bdbd	Merge pull request #48 from erew123/main main to dev pull	2024-01-05 13:31:31 +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	56a7ea1d8f	Update README.md	2024-01-05 13:17:38 +00:00
erew123	863a7cd841	Update README.md	2024-01-05 13:08:45 +00:00
erew123	2e1709ab58	Update README.md	2024-01-05 13:06:10 +00:00
erew123	9c4efdc135	Update README.md	2024-01-05 13:03:49 +00:00
erew123	28675c976c	Update README.md	2024-01-05 13:02:28 +00:00
erew123	afe3b9fe0b	Update README.md	2024-01-05 12:58:16 +00:00
erew123	2e4d52170d	Update README.md	2024-01-05 12:53:13 +00:00
erew123	0e2cc25571	Merge pull request #47 from erew123/main pull from main	2024-01-05 11:44:52 +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	8a2b669da9	Merge pull request #42 from erew123/main main to dev	2024-01-03 02:31:58 +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	b65291d44d	Merge pull request #40 from erew123/main merge main to dev	2024-01-02 00:59:37 +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
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