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version: '3.8'
services:
# Redis - Message broker and cache
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 3s
retries: 5
# Backend API
api:
build:
context: ./backend
dockerfile: Dockerfile
ports:
- "8000:8000"
environment:
- REDIS_URL=redis://redis:6379/0
- STORAGE_PATH=/app/storage
- API_HOST=0.0.0.0
- API_PORT=8000
- CORS_ORIGINS=http://localhost:5173,http://localhost:3000
- YOURMT3_DEVICE=cpu
volumes:
- ./backend:/app
- ./storage:/app/storage
depends_on:
redis:
condition: service_healthy
command: uvicorn main:app --host 0.0.0.0 --port 8000 --reload
# Celery Worker (GPU-enabled for ML processing)
worker:
build:
context: ./backend
dockerfile: Dockerfile.worker
environment:
- REDIS_URL=redis://redis:6379/0
- STORAGE_PATH=/app/storage
- GPU_ENABLED=true
volumes:
- ./backend:/app
- ./storage:/app/storage
depends_on:
redis:
condition: service_healthy
command: celery -A tasks worker --loglevel=info --concurrency=1
# Uncomment for GPU support (requires NVIDIA Docker runtime)
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: 1
# capabilities: [gpu]
# Frontend (React + Vite)
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
ports:
- "5173:5173"
environment:
- VITE_API_URL=http://localhost:8000
volumes:
- ./frontend:/app
- /app/node_modules
command: npm run dev -- --host 0.0.0.0
volumes:
redis_data:
storage:
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