Update app.py

app.py

@@ -1,9 +1,9 @@
-from fastapi import FastAPI, Request, Response
+from fastapi import FastAPI, Request
 from fastapi.responses import HTMLResponse
-from fastapi.staticfiles import StaticFiles
-from huggingface_hub import InferenceClient
 import gradio as gr
+from huggingface_hub import InferenceClient
 import json
+import uvicorn
 
 # Inisialisasi FastAPI
 app = FastAPI()
@@ -51,27 +51,30 @@ def process_json(json_input):
     return json.dumps(chat_history, indent=2), ""
 
 # Definisikan antarmuka Gradio
-gr_interface = gr.Blocks()
-with gr_interface:
-    with gr.Row():
-        with gr.Column():
-            chatbot = gr.Chatbot()
-            msg = gr.Textbox(interactive=True)
-            with gr.Row():
-                clear = gr.ClearButton([msg, chatbot])
-                send_btn = gr.Button("Send", variant='primary')
-            msg.submit(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
-            send_btn.click(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
-        
-        with gr.Column():
-            json_input = gr.Textbox(placeholder='Input JSON here...', interactive=True, lines=10)
-            json_output = gr.Textbox(label='Output JSON', interactive=False, lines=10)
-            process_btn = gr.Button("Process JSON", variant='primary')
-            process_btn.click(fn=process_json, inputs=json_input, outputs=[json_output])
+def gradio_interface():
+    with gr.Blocks() as demo:
+        with gr.Row():
+            with gr.Column():
+                chatbot = gr.Chatbot()
+                msg = gr.Textbox(interactive=True)
+                with gr.Row():
+                    clear = gr.ClearButton([msg, chatbot])
+                    send_btn = gr.Button("Send", variant='primary')
+                msg.submit(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
+                send_btn.click(fn=chat_mem, inputs=[msg, chatbot], outputs=[msg, chatbot])
+            
+            with gr.Column():
+                json_input = gr.Textbox(placeholder='Input JSON here...', interactive=True, lines=10)
+                json_output = gr.Textbox(label='Output JSON', interactive=False, lines=10)
+                process_btn = gr.Button("Process JSON", variant='primary')
+                process_btn.click(fn=process_json, inputs=json_input, outputs=[json_output])
+    
+    return demo
 
 @app.get("/", response_class=HTMLResponse)
 async def read_root():
-    return gr_interface.launch(inline=True, share=False)
+    interface = gradio_interface()
+    return interface.launch(inline=True, share=False)
 
 @app.post("/chat_llama")
 async def chat_llama_endpoint(request: Request):
@@ -97,5 +100,4 @@ async def process_json_endpoint(request: Request):
 
 # Jalankan server FastAPI
 if __name__ == "__main__":
-    import uvicorn
     uvicorn.run(app, host="0.0.0.0", port=7860)