Dedicated docker-compose.yml for gpu deployment

docker-compose-gpu.yml

@@ -0,0 +1,54 @@
+services:
+  # FastAPI 后端服务
+  api:
+    build:
+      context: .
+      dockerfile: Dockerfile
+      target: api
+    container_name: lnp-api
+    environment:
+      - MODEL_PATH=/app/models/final/model.pt
+    volumes:
+      # 挂载模型目录以便更新模型
+      - ./models/final:/app/models/final:ro
+      - ./models/mpnn:/app/models/mpnn:ro
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+
+  # Streamlit 前端服务
+  streamlit:
+    build:
+      context: .
+      dockerfile: Dockerfile
+      target: streamlit
+    container_name: lnp-streamlit
+    ports:
+      - "8501:8501"
+    environment:
+      - API_URL=http://api:8000
+    depends_on:
+      api:
+        condition: service_started
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8501/_stcore/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 30s
+
+networks:
+  default:
+    name: lnp-network

docker-compose.yml

@@ -6,8 +6,6 @@ services:
       dockerfile: Dockerfile
       target: api
     container_name: lnp-api
-    # ports:
-    #   - "8000:8000"
     environment:
       - MODEL_PATH=/app/models/final/model.pt
       - DEVICE=cpu
@@ -22,14 +20,6 @@ services:
       timeout: 10s
       retries: 3
       start_period: 60s
-    # 如果有 NVIDIA GPU，取消下面的注释
-    # deploy:
-    #   resources:
-    #     reservations:
-    #       devices:
-    #         - driver: nvidia
-    #           count: 1
-    #           capabilities: [gpu]
 
   # Streamlit 前端服务
   streamlit:
@@ -41,7 +31,6 @@ services:
     ports:
       - "8501:8501"
     environment:
-      # 连接到 API 服务（使用 Docker 内部网络）
       - API_URL=http://api:8000
     depends_on:
       api: