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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
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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
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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
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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
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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
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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 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
erew123 a428f67a2e SillyTavern Support files.
Just kept here for safe keeping.
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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
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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
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erew123 d5fa6bb46d Merge pull request #49 from erew123/main
merge main
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main to dev pull
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erew123 56a7ea1d8f Update README.md 2024-01-05 13:17:38 +00:00
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erew123 0e2cc25571 Merge pull request #47 from erew123/main
pull from main
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# AllTalk TTS
AllTalk is an updated version of the Coqui_tts extension for Text Generation web UI. Features include:
- **Can be run as a** [standalone](https://github.com/erew123/alltalk_tts?#-running-alltalk-as-a-standalone-app) **or part of** [Text-generation-webui](https://github.com/erew123/alltalk_tts?#-installation-on-text-generation-web-ui)
- **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**
- **Model Finetuning:** Train the model specifically on a voice of your choosing for better reproduction.
- **Local/Custom models:** Use any of the XTTSv2 models (API Local and XTTSv2 Local).
- **Bulk TTS Generator/Editor:** Generate hours of TTS into one big file or have something read back to you [demo](https://www.youtube.com/watch?v=hunvXn0mLzc).
- **DeepSpeed:** A 3-4x performance boost generating TTS. [DeepSpeed Windows/Linux Instructions](https://github.com/erew123/alltalk_tts?tab=readme-ov-file#deepspeed-installation-options) [Screenshot](https://github.com/erew123/alltalk_tts/assets/35898566/548619c8-5f1b-47d0-a73d-54d2fee3f3db)
- **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **DeepSpeed:** A 2-3x performance boost generating TTS. [Screenshot](https://github.com/erew123/screenshots/raw/main/deepspeed.jpg)
- **Low VRAM mode:** Great for people with small GPU memory or if your VRAM is filled by your LLM.
- **Custom Start-up Settings:** Adjust your default start-up settings. [Screenshot](https://github.com/erew123/screenshots/raw/main/settingsanddocs.jpg)
- **Narrarator:** Use different voices for main character and narration. [Example Narration](https://vocaroo.com/18nrv7FR6wuA)
- **Optional wav file maintenance:** Configurable deletion of old output wav files. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Documentation:** Fully documented with a built in webpage. [Screenshot](https://github.com/erew123/alltalk_tts#screenshots)
- **Console output:** Clear command line output for any warnings or issues.
- **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.
####     🔄 **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`
@@ -58,10 +100,64 @@ If you want to watch a video of how to do the below [link here](https://youtu.be
7) **(Optional DeepSpeed)** If you have an Nvidia Graphics card on a system running Linux or Windows and wish to use **DeepSpeed** please follow these instructions [here](https://github.com/erew123/alltalk_tts?#-deepspeed-installation-options). **However**, I would highly reccommend before you install DeepSpeed, you start text-generation-webui up, confirm AllTalk starts correctly and everything is working, as DeepSpeed can add another layer of complications troubleshooting any potential start-up issues. If necessary you can `pip uninstall deepspeed`.
8) You can now start move back to the main Text generation webUI folder `cd ..` (a few times), start Text generation webUI 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)
11) Some extra voices downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
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>
#### 🟩 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.
@@ -70,7 +166,11 @@ 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)
Some extra voices for AllTalk are downloadable [here](https://drive.google.com/file/d/1bYdZdr3L69kmzUN3vSiqZmLRD7-A3M47/view?usp=drive_link)
#### 🟩 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`*`
@@ -80,21 +180,33 @@ Most narrator/character systems switch voices upon encountering an asterisk or q
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` and start the Python environment for your OS with whichever **one** of the below is correct for your OS:<br><br>
`cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`<br>
2) Move into your extensions and alltalk_tts folder:<br><br>
`cd extensions` then `cd alltalk_tts`
2) Move into your extensions and alltalk_tts folder e.g. `cd extensions` then `cd alltalk_tts`
3) At the command prompt/terminal, type:<br><br>
`git pull`
3) At the command prompt/terminal, type `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
@@ -147,16 +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/alltalk_tts/assets/35898566/b0e13dba-c6b1-4ab7-845d-244ac1158330) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/e35e987c-543a-486b-b4fb-ee6ebe6f59c6) |
|![image](https://github.com/erew123/alltalk_tts/assets/35898566/68edc968-bdd2-4f98-9d56-b9ca40decf26) | ![image](https://github.com/erew123/alltalk_tts/assets/35898566/eb5e617b-2345-418d-8267-a9d30f705a10) |
|![image](https://github.com/erew123/alltalk_tts/assets/35898566/4bd0f02e-298d-4e46-95ea-afc003c1cb70) |
|![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/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)|
## 🟨 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>
@@ -286,6 +398,7 @@ If you have a voice that the model doesnt quite reproduce correctly, or indeed y
- 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.
@@ -294,8 +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:
- Download the **xxx (network)** install of the Nvidia Cuda Toolkit 11.8 from [here](https://developer.nvidia.com/cuda-11-8-0-download-archive)
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)
- 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.
@@ -314,6 +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.
@@ -361,6 +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>
@@ -372,14 +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>
10) You can now start Text generation webUI `python server.py` ensuring to activate your extensions.<br><br>
8) Now install deepspeed with pip install deepspeed<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).
@@ -504,42 +643,7 @@ 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>
## 🟦 Running AllTalk as a standalone app
AllTalk will run as a standalone app, as long as you install its requirements files into whatever Python environment you are using. You can follow the steps to install the AllTalk's requirements into whatever Python environment you wish. Because I dont know what Python environment you are wanting to use, I can only give you a loose set of installation instructions.
Please note, at time of writing, the TTS engine requires Python **3.9.x** to **3.11.x** [TTS Engine details here](https://pypi.org/project/TTS/). AllTalk and its requirements are tested on Python **3.11.x**.
#### 🟦 (Option 1) I already have AllTalk installed as an extension of Text-generation-webui
If you already have AllTalk as a extension of Text-generation-webui, and wish to run it as standalone, load Text-generation-webui's Python environment `cmd_windows.bat`, `./cmd_linux.sh`, `cmd_macos.sh` or `cmd_wsl.bat`, move into the AllTalk folder `cd extensions` > `cd alltalk_tts` and start AllTalk with `python script.py`. There is nothing beyond this you would need to do.
#### 🟦 (Option 2) I wish to do a custom install of AllTalk
#### 🔹 A very quick understanding of Python Environments.
Different Python applications have different requirements, some of those requirement’s conflict with other Python applications requirements. To work around this problem, you can create different Python environments that remain separated from one another. A simple way of looking at Python environments, is just like how your house has different rooms for specific purposes (Kitchen, Bathroom, Bedroom etc). You can create a Python environment that is built/customised specifically for your current applications needs/purposes and will **not** interfere with any other Python applications environments/installations. <br><br>If you are adept at managing Python environments, have an existing Python environment and know that you won’t cause any conflicts by installing AllTalk's requirements within that Python environment, then load up your Python environment and install the requirements. For everyone else, here is a basic guide on installing AllTalk in its own custom Python environment (there will be small variations between OS's, but the principle is the same).
**Note:** A standard VENV can cause module path issues, hence Conda is the correct method to create a Python environment for AllTalk.
#### 🔹 Building a custom Python Environment with Miniconda
1) Open a terminal/command prompt, and confirm that both `python --version` and `pip` both work. Neither of them should give an error message. If they do you may need to install Python (and maybe Pip).<br><br>[Python Website](https://www.python.org/downloads/)<br>[Pip Website](https://pip.pypa.io/en/stable/installation/)<br><br>Once you have those working you can now continue on.<br><br>
2) Assuming you don't already have Miniconda installed, we will need to download and install Minoconda as this is what we will use to build our custom Python environment.<br><br>[Miniconda Website](https://docs.conda.io/projects/miniconda/en/latest/)<br><br>Download the Miniconda version that is correct for your OS and then install it. Miniconda will create some items in your Start Menu or Application Launcher called something like `Anaconda Prompt`<br><br> You will start the `Anaconda Prompt` and your prompt in your terminal/command prompt will say something like: <br><br>`(base) C:\users\myaccount\>`<br><br> The important bit is that it has the `(base)`, the location after that doesn't matter. `(base)` signifies we are in the base conda Python environment and can now create custom Python environments with Conda.<br><br>
3) In your Anaconda Prompt command prompt/terminal, move into the folder where you want to download AllTalk to and then git clone this repository. For simplicity I am going to assume that location is `c:\myfiles\`. So you will:<br><br>`cd myfiles`<br><br>`git clone https://github.com/erew123/alltalk_tts`<br><br>
4) Now we will create our custom Conda Python 3.11.5 environment and give it the name alltalkenv by typing the following at the prompt:<br><br>`conda create --name alltalkenv python=3.11.5`<br><br>You will be prompted if you want to continue and you say yes.<br><br>Once that process has completed, we now need to change from the `(base)` Conda Python environment, to our newly created `(alltalkenv)` environment. So type the following:<br><br>`conda activate alltalkenv`<br><br>Your prompt should now change from `(base) C:\myfiles\>` to `(alltalkenv) C:\myfiles\>`<br><br>
5) **If you are NOT using an Nvidia card and CUDA, skip to step 6**. To force PyTorch to install with CUDA, perform the following:<br><br>`pip cache purge` (Clear the current Pip cache)<br><br>`pip uninstall torch torchaudio` (Uninstall Torch and Torchaudio from the `alltalkenv` environment)<br><br>
You can now either install the CUDA 11.8 or 12.1 version of Torch and Torchaudio with **one** of the following<br><br>**CUDA 11.8** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118`<br><br>**CUDA 12.1** > `pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121`<br><br>
6) Move into the alltalk_tts folder and install one of the two requirements files. Whichever one of the two is correct for your machine type:<br><br>`cd alltalk_tts`<br><br>
**Nvidia graphics card machines** - `pip install -r requirements_nvidia.txt`<br><br>
**Other machines (mac, amd etc)** - `pip install -r requirements_other.txt`<br><br>
7) Start AllTalk with `python script.py`<br><br>
🔹Anytime you wish to use AllTalk, update its requirements, install some other requirements such as DeepSpeed, you will need to start its Conda Python Environment in the terminal/prompt, which you will do with `conda activate alltalkenv` as long as the Conda executable is accessible at the command prompt/terminal you are in.<br><br>It is fully possible to create a batch file or script file that you can use as a launcher from your Start Menu/Application Launcher that will start the environment and AllTalk for you.
Deepspeed and other such things can be installed. Please read the relevant instructions for those items, however, make the relevant changes to load your correct Python environment when installing any requirements files and starting AllTalk.<br><br>
</details>
## ⬜ AllTalk TTS Generator
AllTalk TTS Generator is the solution for converting large volumes of text into speech using the voice of your choice. Whether you're creating audio content or just want to hear text read aloud, the TTS Generator is equipped to handle it all efficiently. 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).
@@ -600,6 +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.
@@ -644,12 +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
Standard TTS speech Example (standard text) generating a time-stamped file<br>
### 🟠 Example command lines (Standard Generation)
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>
@@ -752,7 +872,32 @@ Example JSON TTS Generation Response:
`{"status":"generate-success","output_file_path":"C:\\text-generation-webui\\extensions\\alltalk_tts\\outputs\\myoutputfile_1704141936.wav","output_file_url":"http://127.0.0.1:7851/audio/myoutputfile_1704141936.wav","output_cache_url":"http://127.0.0.1:7851/audiocache/myoutputfile_1704141936.wav"}`
### 🟠 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
- SillyTavern Support
- Possibly add some additional TTS engines (TBD).
- Tagging support within text.
- Have a break!
+503
View File
@@ -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
+440
View File
@@ -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
+7
View File
@@ -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
+3 -1
View File
@@ -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.
+7 -4
View File
@@ -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"http://{params['ip_address']}:{params['port_number']}",
f"[{params['branding']}Startup] \033[94mSettings & Documentation:\033[00m",
f"\033[92mhttp://{params['ip_address']}:{params['port_number']}\033[00m",
)
print(f"[{params['branding']}Startup]")
else:
print(
f"[{params['branding']}Startup] \033[91mWarning\033[0m TTS Subprocess Webserver failing to start process"
@@ -862,7 +864,8 @@ def ui():
voice.change(lambda x: params.update({"voice": x}), voice, None)
language.change(lambda x: params.update({"language": x}), language, None)
# TTS Settings (Not yet parsed to api/implemented)
# 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)
@@ -885,4 +888,4 @@ if running_in_standalone:
try:
time.sleep(1) # Add a small delay to avoid high CPU usage
except KeyboardInterrupt:
break # Allow graceful exit on Ctrl+C
break # Allow graceful exit on Ctrl+C
+938
View File
@@ -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;
}
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+116 -5
View File
@@ -222,6 +222,7 @@
<li><a href="#using-voice-samples">Using Voice Samples</a></li>
<li><a href="#text-not-inside">Text Not inside</a></li>
<li><a href="#low-vram">Low VRAM</a></li>
<li><a href="#sillytavern-support">Silly Tavern Support</a></li>
<li><a href="#finetune">Finetuning (Training the model)</a></li>
<li><a href="#deepspeed">DeepSpeed</a>
<ul>
@@ -272,8 +273,8 @@
here</a><br />Update instructions <a href="https://github.com/erew123/alltalk_tts?#-updating"
target="_blank" rel="noopener">link here</a><br />Help and issues <a
href="https://github.com/erew123/alltalk_tts?#-help-with-problems" target="_blank" rel="noopener">link
here</a><br />TTS Generator <a
href="http://127.0.0.1:7851/static/tts_chunk_player/tts_chunk_player.html" target="_blank" rel="noopener">link
here</a><br />TTS Generator <a href="http://127.0.0.1:7851/static/tts_chunk_player/tts_chunk_player.html"
target="_blank" rel="noopener">link
here<br /><br /></a><span style="text-decoration: underline;"><strong>Text generation webUI</strong></span>
<br />Web interface&nbsp;<a href="http://{{ params.ip_address }}:7860" target="_blank" rel="noopener">link
here</a> <br />Documentation <a href="https://github.com/oobabooga/text-generation-webui/wiki"
@@ -291,7 +292,8 @@
<p style="padding-left: 30px;"><a href="#toc">Back to top of page</a></p>
<h2 id="demotesttts">Demo/Test TTS</h2>
<p style="padding-left: 30px;">If you are wanting to generate bulk quantites of TTS and have control over them, please see the <a href="#tts-generator">AllTalk TTS Generator</a> below.</p>
<p style="padding-left: 30px;">If you are wanting to generate bulk quantities of TTS and have control over them,
please see the <a href="#tts-generator">AllTalk TTS Generator</a> below.</p>
<div id="container">
<form method="post" action="/tts-demo-request" id="ttsForm">
<label for="text">Text:</label>
@@ -434,11 +436,11 @@
if (formData.get('streaming') === 'true') {
// For streaming, update the audio player src
const searchParams = new URLSearchParams(formData).toString();
audioPlayer.src = baseurl + "/tts-demo-request?" + searchParams;
audioPlayer.src = baseurl + "/api/tts-generate-streaming?" + searchParams;
audioPlayer.load(); // Reload the audio player
} else {
// For non-streaming, send a POST request
const response = await fetch('/tts-demo-request', {
const response = await fetch('/api/tts-generate-streaming', {
method: 'POST',
body: formData,
cache: "no-store"
@@ -658,6 +660,113 @@
<p style="padding-left: 30px;"><a href="#toc">Back to top of page</a></p>
<h2 id="sillytavern-support"><strong>SillyTavern Support</strong></h2>
<h4>Important note for Text-generation-webui users</h4>
<p style="padding-left: 30px;">You <strong><span style="color: #3366ff;">HAVE</span></strong> to disable
<strong>Enable TTS</strong> within the Text-generation-webui AllTalk interface,
otherwise&nbsp;Text-generation-webui will also generate TTS due to the way it sends out text. You can do this
each time you start up&nbsp;Text-generation-webui or set it in the start-up settings at the top of this page.
</p>
<h4>Quick Tips</h4>
<ul>
<li>Only change DeepSpeed, Low VRAM or Model one at a time. Wait for it to say Ready before changing something
else.</li>
<li>You can permanently change the AllTalk startup settings or DeepSpeed, Low VRAM and Model at the top of this
page.</li>
<li>Different AI models use quotes and asterisks differently, so you may need to change "Text not inside"
depending on model.</li>
<li>Add new voice samples to the voices folder. You can Finetune a model to make it sound even closer to the
original sample.</li>
<li>DeepSpeed will improve processing time to TTS to be 2-3x faster.</li>
<li>Low VRAM can be very beneficial if you don't have much memory left after loading your LLM.</li>
</ul>
<h4>TTS Generation Methods in SilllyTavern</h4>
<p style="padding-left: 30px;">You have 2 types of audio generation options, Streaming and Standard.</p>
<p style="padding-left: 30px; text-align: justify;">The Streaming Audio Generation method is designed for speed and
is best suited for situations where you just want quick audio playback. This method, however, is limited to
using just one voice per TTS generation request. This means a limitation of the Streaming method is the
inability to utilize the AllTalk narrator function, making it a straightforward but less nuanced option.</p>
<p style="padding-left: 30px; text-align: justify;">On the other hand, the Standard Audio Generation method provides
a richer auditory experience. It's slightly slower than the Streaming method but compensates for this with its
ability to split text into multiple voices. This functionality is particularly useful in scenarios where
differentiating between character dialogues and narration can enhance the storytelling and delivery. The
inclusion of the AllTalk narrator functionality in the Standard method allows for a more layered and immersive
experience, making it ideal for content where depth and variety in voice narration add significant value.</p>
<p style="padding-left: 30px; text-align: justify;">In summary, the choice between Streaming and Standard methods in
AllTalk TTS depends on what you want. Streaming is great for quick and simple audio generation, while Standard
is preferable for a more dynamic and engaging audio experience.</p>
<ul>
<li><strong>AllTalk TTS Generation Method:</strong>
<ul>
<li>Select between Standard and Streaming Audio Generation methods.</li>
<li>This setting impacts the AllTalk narrator functionality.</li>
</ul>
</li>
<li><strong>Language Selection:</strong><br />
<ul>
<li>Select your preferred TTS generation language from the "Language" dropdown.</li>
</ul>
</li>
<li><strong>Model Switching:</strong>
<ul>
<li>Switch between different TTS models like API TTS, API Local, XTTSv2 Local, and optionally XTTSv2 FT
if you have a finetuned model available.</li>
<li>Fine-tuned model availability (XTTSv2 FT) will only show when a finetuned model is detected by
AllTalk.</li>
<li>See TTS Models/Methods for more information (though most people will want to stick with XTTSv2
Local).</li>
</ul>
</li>
<li><strong>DeepSpeed and Low VRAM Options:</strong>
<ul>
<li>Optimize performance with DeepSpeed and Low VRAM settings.</li>
<li>DeepSpeed can offer a 2-3x performance boost on TTS generation. (Requires installation)</li>
<li>See the relevant sections in this documentation for details.</li>
</ul>
</li>
</ul>
<p style="padding-left: 30px;">Changing model or DeepSpeed or Low VRAM <span
style="color: #0000ff;"><strong>each</strong></span> take about 15 seconds so you should only change one at
a time and wait for <span style="color: #99cc00;">Ready</span> before changing the next setting. To set these
options long term you can apply the settings at the top of this page.</p>
<h4>AllTalk Narrator</h4>
<p style="padding-left: 30px;">Only available on the Standard Audo Generation method.</p>
<ul>
<li><strong>Narrator Voice Selection:</strong>
<ul>
<li>Allows users to choose different narrator voices.</li>
<li>Access via the "Narrator Voice" dropdown.</li>
</ul>
</li>
<li><strong>AllTalk Narrator:</strong>
<ul>
<li>Toggle the AllTalk narrator feature.</li>
<li>Access via "AT Narrator" dropdown with Enabled/Disabled options.</li>
</ul>
</li>
<li><strong>Text Outside Asterisks Handling:</strong>
<ul>
<li>Choose how text outside asterisks is interpreted (as Narrator or Character voice).</li>
<li>Managed via the "Text Not Inside * or "" dropdown.</li>
<li>Note, only available when the AllTalk Narrator is enabled.</li>
</ul>
</li>
</ul>
<h4>Usage Notes:</h4>
<ul>
<li>On startup of SillyTavern, it will pull your current settings from AllTalk (Current model, DeepSpeed status,
Low VRAM status and Finetuned model availability).</li>
<li>Enabling the narrator automatically unchecks certain checkboxes related to text handling.</li>
<li>Changes in model or settings might trigger multiple requests to the server; patience is advised.</li>
</ul>
<h4>Troubleshooting:</h4>
<ul>
<li>If experiencing issues, use the Reload button in SillyTavern's TTS extension to reinitialize the connection
to AllTalk and check if AllTalk is started correctly.</li>
</ul>
<p style="padding-left: 30px;"><a href="#toc">Back to top of page</a></p>
<h2 id="finetune"><strong>Finetuning (Training the model)</strong></h2>
<p style="margin-left:40px; text-align:justify">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 &quot;XTTSv2
@@ -837,6 +946,8 @@
<h3 id="deepspeed-windows">DeepSpeed Setup - Windows</h3>
<p style="padding-left: 30px;">➡️DeepSpeed requires an Nvidia Graphics card!⬅️</p>
<p style="padding-left: 30px;">The atsetup utility for Windows can install DeepSpeed for you (Stanalone users whom
installed via the atsetup utility will already have DeepSpeed installed).</p>
<p style="padding-left: 30px;">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 <span
style="color: #339966;"><strong>Option 1</strong></span>&nbsp;and a long way <span
+98 -16
View File
@@ -81,6 +81,17 @@ else:
f"[{params['branding']}Startup] \033[91mWarning\033[0m modeldownload.config is missing so please re-download it and save it in the alltalk_tts main folder."
)
##################################################
#### Check to see if a finetuned model exists ####
##################################################
# Set the path to the directory
trained_model_directory = this_dir / "models" / "trainedmodel"
# Check if the directory "trainedmodel" exists
finetuned_model = trained_model_directory.exists()
# If the directory exists, check for the existence of the required files
if finetuned_model:
required_files = ["model.pth", "config.json", "vocab.json"]
finetuned_model = all((trained_model_directory / file).exists() for file in required_files)
########################
#### STARTUP CHECKS ####
@@ -98,19 +109,17 @@ except ModuleNotFoundError:
raise
# DEEPSPEED Import - Check for DeepSpeed and import it if it exists
deepspeed_available = False
try:
import deepspeed
deepspeed_installed = True
print(f"[{params['branding']}Startup] DeepSpeed \033[93mDetected\033[0m")
print(
f"[{params['branding']}Startup] Activate DeepSpeed in {params['branding']} settings"
)
deepspeed_available = True
except ImportError:
deepspeed_installed = False
print(
f"[{params['branding']}Startup] DeepSpeed \033[93mNot Detected\033[0m. See https://github.com/microsoft/DeepSpeed"
)
pass
if deepspeed_available:
print(f"[{params['branding']}Startup] DeepSpeed \033[93mDetected\033[0m")
print(f"[{params['branding']}Startup] Activate DeepSpeed in {params['branding']}settings")
else:
print(f"[{params['branding']}Startup] DeepSpeed \033[93mNot Detected\033[0m. See https://github.com/microsoft/DeepSpeed")
@asynccontextmanager
@@ -729,6 +738,11 @@ async def tts_demo_request(request: Request, text: str = Form(...), voice: str =
print(f"An error occurred: {e}")
return JSONResponse(content={"error": "An error occurred"}, status_code=500)
#####################
#### Audio feeds ####
#####################
# Gives web access to the output files
@app.get("/audio/{filename}")
async def get_audio(filename: str):
@@ -807,6 +821,35 @@ import uuid
import numpy as np
import soundfile as sf
import sys
import hashlib
##############################
#### Streaming Generation ####
##############################
@app.get("/api/tts-generate-streaming", response_class=StreamingResponse)
async def tts_generate_streaming(text: str, voice: str, language: str, output_file: str):
try:
output_file_path = this_dir / "outputs" / output_file
stream = await generate_audio(text, voice, language, output_file_path, streaming=True)
return StreamingResponse(stream, media_type="audio/wav")
except Exception as e:
print(f"An error occurred: {e}")
return JSONResponse(content={"error": "An error occurred"}, status_code=500)
@app.post("/api/tts-generate-streaming", response_class=JSONResponse)
async def tts_generate_streaming(request: Request, text: str = Form(...), voice: str = Form(...), language: str = Form(...), output_file: str = Form(...)):
try:
output_file_path = this_dir / "outputs" / output_file
await generate_audio(text, voice, language, output_file_path, streaming=False)
return JSONResponse(content={"output_file_path": str(output_file)}, status_code=200)
except Exception as e:
print(f"An error occurred: {e}")
return JSONResponse(content={"error": "An error occurred"}, status_code=500)
##############################
#### Standard Generation ####
##############################
# Check for PortAudio library on Linux
try:
@@ -936,8 +979,8 @@ def combine(output_file_timestamp, output_file_name, audio_files):
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}_{timestamp}_combined.wav'
else:
output_file_path = os.path.join(this_dir / "outputs" / f'{output_file_name}_combined.wav')
output_file_url = f'http://{params["ip_address"]}:{params["port_number"]}/audio/{output_file_name}.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}.wav'
output_file_url = f'http://{params["ip_address"]}:{params["port_number"]}/audio/{output_file_name}_combined.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}_combined.wav'
try:
sf.write(output_file_path, audio, samplerate=sample_rate)
# Clean up unnecessary files
@@ -1019,13 +1062,20 @@ async def tts_generate(
else:
if output_file_timestamp:
timestamp = int(time.time())
output_file_path = this_dir / "outputs" / f"{output_file_name}_{timestamp}.wav"
output_file_url = f'http://{params["ip_address"]}:{params["port_number"]}/audio/{output_file_name}_{timestamp}.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}_{timestamp}.wav'
# Generate a standard UUID
original_uuid = uuid.uuid4()
# Hash the UUID using SHA-256
hash_object = hashlib.sha256(str(original_uuid).encode())
hashed_uuid = hash_object.hexdigest()
# Truncate to the desired length, for example, 16 characters
short_uuid = hashed_uuid[:5]
output_file_path = this_dir / "outputs" / f"{output_file_name}_{timestamp}{short_uuid}.wav"
output_file_url = f'http://{params["ip_address"]}:{params["port_number"]}/audio/{output_file_name}_{timestamp}{short_uuid}.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}_{timestamp}{short_uuid}.wav'
else:
output_file_path = this_dir / "outputs" / f"{output_file_name}.wav"
output_file_url = f'http://{params["ip_address"]}:{params["port_number"]}/audio/{output_file_name}.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}_{timestamp}.wav'
output_cache_url = f'http://{params["ip_address"]}:{params["port_number"]}/audiocache/{output_file_name}.wav'
if text_filtering == "html":
cleaned_string = html.unescape(standard_filtering(text_input))
cleaned_string = re.sub(r'([!?.])\1+', r'\1', text_input)
@@ -1053,6 +1103,38 @@ async def tts_generate(
return JSONResponse(content={"status": "generate-failure", "error": "An error occurred"}, status_code=500)
##########################
#### Current Settings ####
##########################
# Define the available models
models_available = [
{"name": "Coqui", "model_name": "API TTS"},
{"name": "Coqui", "model_name": "API Local"},
{"name": "Coqui", "model_name": "XTTSv2 Local"}
]
@app.get('/api/currentsettings')
def get_current_settings():
# Determine the current model loaded
if params["tts_method_api_tts"]:
current_model_loaded = "API TTS"
elif params["tts_method_api_local"]:
current_model_loaded = "API Local"
elif params["tts_method_xtts_local"]:
current_model_loaded = "XTTSv2 Local"
else:
current_model_loaded = None # or a default value if no method is active
settings = {
"models_available": models_available,
"current_model_loaded": current_model_loaded,
"deepspeed_available": deepspeed_available,
"deepspeed_status": params["deepspeed_activate"],
"low_vram_status": params["low_vram"],
"finetuned_model": finetuned_model
}
return settings # Automatically converted to JSON by Fas
#############################
#### Word Add-in Sharing ####
#############################