Setting Up Coqui Text-to-Speech
Learn how to set up and configure Coqui as your local text-to-speech backend for the Arcania platform, with both manual and Docker installation methods.
Introduction to Coqui
[serious] While Coqui.ai's hosted service has been discontinued, you can still set up Coqui locally as a powerful text-to-speech backend for Arcania using the methods detailed below.
Installation Methods
Method 1: Manual Setup
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Create and navigate to Coqui directory:
mkdir ~/coqui && cd ~/coqui -
Install Miniconda:
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o miniconda3.sh chmod +x ./miniconda3.sh ./miniconda3.sh -
Set up Python environment:
conda create --name coqui python=3.10 conda activate coqui -
Clone and prepare 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 -
Complete installation:
cd TTS && make install -
Launch the server:
python3 TTS/server/server.py --model_name tts_models/en/vctk/vits
Method 2: Docker Setup
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Pull the Docker image:
docker pull ghcr.io/coqui-ai/tts --platform linux/amd64 -
Launch container:
docker run --rm -it -p 5002:5002 --entrypoint /bin/bash ghcr.io/coqui-ai/tts -
Configure and start server:
pip install flask_cors python3 TTS/server/server.py --model_name tts_models/en/vctk/vits
Configuration
[neutral] After installation, configure your system with these essential steps:
CORS Configuration
Add these lines to Flask app in /TTS/server/server.py:
from flask_cors import CORS
CORS(app)Enable in Arcania
- Navigate to Settings
- Select Text-to-Speech
- Choose TTS Backend
- Select Coqui
- Configure Voice ID when satisfied
Technical Resources
Additional Information
- Official Coqui Repository
- Local TTS backend capabilities
- Extensive model selection
- Advanced configuration options
[serious] Coqui provides a robust local text-to-speech solution with multiple voice models and customization options. [happy] Follow the installation steps carefully to ensure optimal performance.