Using Coqui Local
Navigate to Coqui and click on the Get Started button.
Coqui.ai has been discontinued, but enthusiasts can still set up Coqui locally by following the instructions below.
Coqui Local Branch has not yet been merged.
Setting Up Coqui Locally
Method 1: Manual Setup
Create a directory for Coqui and navigate to it:
mkdir ~/coqui && cd ~/coqui
Download and install Miniconda:
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o miniconda3.sh chmod +x ./miniconda3.sh ./miniconda3.sh
Create a Conda environment and install Python 3.10:
conda create --name coqui python=3.10 conda activate coqui
Clone the Coqui TTS repository:
git clone https://github.com/coqui-ai/TTS.git
Install dependencies:
brew install mecab espeak pip install numpy==1.21.6 flask_cors conda install scipy scikit-learn Cython
Navigate to the cloned
TTS
directory and install Coqui TTS:cd TTS && make install
Run the local Coqui TTS server:
python3 TTS/server/server.py --model_name tts_models/en/vctk/vits
Method 2: Setup via Docker
Pull the Coqui TTS Docker image:
docker pull ghcr.io/coqui-ai/tts --platform linux/amd64
Run the Coqui TTS container:
docker run --rm -it -p 5002:5002 --entrypoint /bin/bash ghcr.io/coqui-ai/tts
Inside the container, install Flask CORS and run the server:
pip install flask_cors python3 TTS/server/server.py --model_name tts_models/en/vctk/vits
Adding CORS Support
To ensure that the Coqui server allows cross-origin resource sharing (CORS), add the following lines to Flask app in /TTS/server/server.py
:
from flask_cors import CORS
CORS(app)
Make sure Coqui is enabled for TTS:
Settings -> Text-to-Speech -> TTS Backend -> Coqui
Proceed to make a new voice. When you are satisfied, copy the Voice ID.
Settings -> Text-to-Speech -> Coqui -> Voice ID
Notes
Coqui TTS can be used as a local text-to-speech backend in your application.
If you want to explore more models or functionalities, refer to the official Coqui TTS GitHub repository.
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