GraphDone-TTS/docker-compose.yml at main · GraphDone/GraphDone-TTS · GitHub

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# GraphDone-TTS Docker Compose Configuration
# For development and testing

version: '3.8'

services:
  # Option 1: Use pre-built minimal image (API only)
  tts-api:
    image: ghcr.io/matatonic/openedai-speech-min
    container_name: graphdone-tts-api
    ports:
      - "8000:8000"
    volumes:
      - ./voices:/app/voices
      - ./config:/app/config
    environment:
      - TTS_HOME=/app/voices
      - HF_HOME=/app/voices
    command: ["python", "-m", "speech", "--host", "0.0.0.0", "--port", "8000", "--xtts_device", "none"]
    restart: unless-stopped
    profiles: ["minimal"]

  # Option 2: Build complete solution (API + Web UI)
  tts-complete:
    build:
      context: .
      dockerfile: docker/Dockerfile.single
    container_name: graphdone-tts-complete
    ports:
      - "8000:8000"  # TTS API
      - "3000:3000"  # Web UI
    volumes:
      - ./voices:/app/voices
      - ./config:/app/config
      - tts-cache:/app/output
    environment:
      - PYTHONUNBUFFERED=1
    restart: unless-stopped
    profiles: ["complete"]

volumes:
  tts-cache:
    driver: local

# Usage:
# Minimal API only:  docker-compose --profile minimal up
# Complete with UI:  docker-compose --profile complete up