TTS_Listener

by ClarkTribeGames, LLC

Description

git remote add origin https://github.com/AznIronMan/vits_tts_listener.git

Installation

Clone the repository:

git clone https://github.com/AznIronMan/vits_tts_listener

We recommend using a virtual environment using venv or conda for this project. Python 3.8-3.10 works best.

To create a virtual environment using venv:

python3 -m venv /path/to/new/virtual/environment

Activate it:

source /path/to/new/virtual/environment/bin/activate

To create a virtual environment using conda:

conda create --name myenv

Activate it:

conda activate myenv

For GPU Users

Before proceeding, check if your GPU is supported: Nvidia CUDA GPUs.

Install PyTorch by following the instructions based on your OS and model video card from PyTorch's official website.

Post Installation Steps

From within the TTS_Listener folder, clone the repository:

git clone https://github.com/coqui-ai/TTS

Install the necessary dependencies:

pip install -r requirements.txt

Copy .env.example to .env Modify the .env file as appropriate: the API_KEY and the LISTENING_PORT are required.

Note: You may need to update your firewall settings or disable it entirely (not recommended). Additionally, you may have to adjust your antivirus or antimalware program settings. See the software vendor for details.

Port Forwarding

If your computer is behind a NAT, port forwarding will be required. Here is a good tutorial on how to setup port forwarding.

Note: Without port forwarding, the API request will only work either from the localhost or the LAN, if the firewall port is opened properly on the server.

Usage

You can interact with the TTS_Listener through API calls, POSTMAN, CURL etc. Here's an example of how to do so using CURL:

curl -X POST -H "Content-Type: application/json" -H "Authorization: API_KEY" -d '{"voice": "samantha", "text": "THIS_IS_WHERE_THE_TEXT_TO_BE_CONVERTED_GOES"}' http://your_ip_or_dns_name_here:LISTENING_PORT/tts --output NAME_OF_OUTPUT_FILE.wav

Note: The voice "samantha" is currently the only voice with this package. More will be added soon.

Trainer Jupyter Notebook

The tts_vits_trainer.ipynb is included. It is not 100% perfect. I am still trying to improve it, but it was the flow I used to train the samantha model. Feel free to use it, copy it, etc.

Note: It can be used on Google Colabs with some minor tweaks like editing the "home" location to the /content/drive/MyDrive as well as adding the mount of the Google Drive to your notebook.

Disclaimer

This is meant for private use as Flask is not for production. Feel free to fork and modify. Enjoy!

Support

Reach us at: https://www.clarktribegames.com or info@clarktribegames.com

Product Usage

This product is used by: https://narrative.nexus | https://sam.antha.dev

Thanks,

• AznIronMan