Update app.py

app.py

@@ -1,14 +1,22 @@
 from fastapi import FastAPI, Request
 from fastapi.responses import HTMLResponse
+from fastapi.middleware.cors import CORSMiddleware
 from huggingface_hub import InferenceClient
 import gradio as gr
-import json
 import uvicorn
-import threading
 
 # Inisialisasi FastAPI
 app = FastAPI()
 
+# Izinkan CORS (jika perlu)
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
 # Inisialisasi Gradio
 client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct")
 
@@ -72,13 +80,9 @@ def gradio_interface():
     
     return demo
 
-def run_gradio():
-    interface = gradio_interface()
-    interface.launch(server_port=7861, share=False, server_name="0.0.0.0")
-
 @app.get("/", response_class=HTMLResponse)
 async def read_root():
-    return "FastAPI is running. Gradio is accessible on port 7861."
+    return gr.Interface(fn=process_json, inputs="text", outputs="text").launch(inline=True, share=False)
 
 @app.post("/chat_llama")
 async def chat_llama_endpoint(request: Request):
@@ -104,6 +108,4 @@ async def process_json_endpoint(request: Request):
 
 # Jalankan server FastAPI
 if __name__ == "__main__":
-    gradio_thread = threading.Thread(target=run_gradio)
-    gradio_thread.start()
     uvicorn.run(app, host="0.0.0.0", port=7860)