Update app.py

app.py

@@ -1,17 +1,22 @@
+import uvicorn
 import gradio as gr
 import spaces
+
+# Import your FastAPI app and logic
 from app.main import app as fastapi_app, moderate_text, TextRequest
 
 @spaces.GPU
 def _satisfy_zerogpu_startup_check():
     return "GPU available"
 
+# The UI function
 async def moderate_ui(text):
     if not text.strip():
         return "Please enter some text."
     try:
         request = TextRequest(text=text)
         response = await moderate_text(request)
+        
         result = f"🚨 Flagged: {response.is_flagged}\n\n"
         result += f"📝 Original: {response.original_text}\n\n"
         if response.is_flagged and response.rewritten_text:
@@ -19,22 +24,24 @@ async def moderate_ui(text):
             for i, suggestion in enumerate(response.rewritten_text, 1):
                 result += f"{i}. {suggestion}\n"
         elif response.is_flagged:
-            result += "✅ Suggested Proper Sentence: (Model could not generate a rewrite)"
+            result += "✅ (Model could not generate a rewrite)"
         else:
             result += "✅ This text is clean. No proper sentence needed."
         return result
     except Exception as e:
         return f"Error: {str(e)}"
 
+# Create Gradio UI
 demo = gr.Interface(
     fn=moderate_ui,
     inputs=gr.Textbox(lines=3, placeholder="Type a toxic sentence here..."),
     outputs=gr.Textbox(lines=12, label="Moderation Result"),
     title="Multilingual Moderation API",
-    description="Enter text to detect abuse/threats and get suggested proper sentences."
 )
 
-demo.app.mount("/api", fastapi_app)
+# 🔥 THE MAGIC FIX: Mount Gradio INSIDE FastAPI, at the "/ui" path
+app = gr.mount_gradio_app(fastapi_app, demo, path="/ui")
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+    # Run FastAPI (which now contains Gradio)
+    uvicorn.run(app, host="0.0.0.0", port=7860)