Fix FastAPI integration for Gradio 6.5.1

- Create FastAPI app first and mount Gradio on it
- Use gr.mount_gradio_app() for proper integration
- Add uvicorn and fastapi to requirements
- Use

@app
decorators instead of

@demo
.fastapi_app

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from fastapi import Request, HTTPException
+from fastapi import FastAPI, Request, HTTPException
 from fastapi.responses import JSONResponse
 import os
 import json
@@ -9,6 +9,9 @@ from datasets import Dataset
 from huggingface_hub import HfApi
 import pandas as pd
 
+# Create FastAPI app
+app = FastAPI()
+
 # Configuration
 DATASET_REPO = "assafvayner/webhook-messages"
 BATCH_SIZE = 10000
@@ -207,7 +210,7 @@ with gr.Blocks(title="HuggingFace Webhook Processor") as demo:
 
 
 # Add webhook endpoint to FastAPI
-@demo.fastapi_app.post("/webhooks/hub")
+@app.post("/webhooks/hub")
 async def webhook_endpoint(request: Request):
     """
     Webhook endpoint for HuggingFace Hub events.
@@ -249,7 +252,7 @@ async def webhook_endpoint(request: Request):
         raise HTTPException(status_code=500, detail=str(e))
 
 
-@demo.fastapi_app.get("/webhooks/health")
+@app.get("/webhooks/health")
 async def health_check():
     """Health check endpoint."""
     with message_lock:
@@ -261,7 +264,13 @@ async def health_check():
         }
 
 
+# Mount Gradio app on FastAPI
+app = gr.mount_gradio_app(app, demo, path="/")
+
+
 if __name__ == "__main__":
+    import uvicorn
+
     # Ensure dataset repo exists
     try:
         hf_api.create_repo(
@@ -273,4 +282,5 @@ if __name__ == "__main__":
     except Exception as e:
         print(f"⚠️  Warning: Could not create/verify dataset repo: {str(e)}")
 
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    # Launch FastAPI app with uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

@@ -3,3 +3,5 @@ huggingface-hub
 datasets
 pandas
 pyarrow
+uvicorn
+fastapi