Update app.py

app.py

@@ -6,6 +6,12 @@ import faiss
 from huggingface_hub import hf_hub_download
 import time
 import json
+import fastapi
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
+from fastapi.middleware.cors import CORSMiddleware
+import uvicorn
+import threading
 
 # 创建安全缓存目录
 CACHE_DIR = "/home/user/cache"
@@ -131,12 +137,7 @@ def predict(vector):
             "message": "处理错误，请重试或联系管理员"
         }
 
-# 创建FastAPI应用 (替代Gradio Blocks)
-import fastapi
-from fastapi import FastAPI, Request
-from fastapi.responses import JSONResponse
-from fastapi.middleware.cors import CORSMiddleware
-
+# 创建FastAPI应用
 app = FastAPI()
 
 # 添加CORS支持
@@ -173,44 +174,8 @@ async def api_predict(request: Request):
             }
         )
 
-# 保留Gradio界面
-with gr.Blocks() as demo:
-    gr.Markdown("## 🛍 电商智能客服系统 (768维专用)")
-    gr.Markdown("**使用CLIP-vit-large-patch14模型 | 向量维度: 768**")
-    
-    with gr.Row():
-        vector_input = gr.Dataframe(
-            headers=["向量值"], 
-            type="array",
-            label="输入向量 (768维)",
-            value=[[0.1]*768]
-        )
-        output = gr.JSON(label="智能回答")
-    
-    submit_btn = gr.Button("生成回答")
-    submit_btn.click(
-        fn=predict, 
-        inputs=vector_input, 
-        outputs=output
-    )
-
 # 启动应用
 if __name__ == "__main__":
-    import uvicorn
-    import threading
-    
-    # 启动FastAPI服务
-    def run_fastapi():
-        uvicorn.run(app, host="0.0.0.0", port=7860)
-    
-    # 启动Gradio界面
-    def run_gradio():
-        demo.launch(
-            server_name="0.0.0.0",
-            server_port=7861,
-            share=False
-        )
-    
     # 验证资源
     print("="*50)
     print("Space启动完成 | 准备接收请求")
@@ -218,6 +183,5 @@ if __name__ == "__main__":
     print(f"元数据记录数: {len(metadata)}")
     print("="*50)
     
-    # 启动两个服务
-    threading.Thread(target=run_fastapi, daemon=True).start()
-    run_gradio()
+    # 只启动FastAPI服务
+    uvicorn.run(app, host="0.0.0.0", port=7860)