first_upload

docker-compose.yml

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+version: '3.8'
+
+services:
+  redis:
+    image: "redis:alpine"
+    ports:
+      - "6379:6379"
+    volumes:
+      - redis_data:/data
+
+  web:
+    build: .
+    ports:
+      - "12000:12000"
+    volumes:
+      - .:/app
+      - ./uploads:/app/uploads
+    env_file:
+      - .env
+    depends_on:
+      - redis
+    # The following 'deploy' key enables GPU access for the service.
+    # This requires nvidia-container-toolkit to be installed on the host.
+    # Docker Compose will automatically use this if available.
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    command: gunicorn --bind 0.0.0.0:12000 --workers 4 app:app
+
+  worker:
+    build: .
+    volumes:
+      - .:/app
+      - ./uploads:/app/uploads
+      - ./demucs_separated:/app/demucs_separated
+    env_file:
+      - .env
+    depends_on:
+      - redis
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    # For Windows, you might need to use -P gevent
+    command: celery -A tasks.celery worker --loglevel=info --pool=solo
+
+volumes:
+  redis_data: