Update app.py

app.py

@@ -1,9 +1,11 @@
+pip install gradio fastapi uvicorn
+
 import gradio as gr
 import pandas as pd
 from huggingface_hub import hf_hub_download
 import joblib
 from fastapi import FastAPI
-from gradio import fastapi as gr_fastapi
+from gradio.routes import Route
 
 # Load the model
 repo_id = "rmaitest/mlmodel2"
@@ -42,11 +44,15 @@ iface = gr.Interface(
 # Create FastAPI app
 app = FastAPI()
 
-# Mount Gradio as an API on the /predict endpoint
-app = gr_fastapi.mount_gradio_app(app, iface, path="/predict")
+# Create a route for the /predict API endpoint
+@app.post("/predict")
+async def predict(size: float, bedrooms: int, age: int):
+    # Call the Gradio function manually for the API route
+    return iface.fn(size, bedrooms, age)
 
-# Launch Gradio app (optionally with API)
+# Launch Gradio interface (only for UI purposes, if needed)
 if __name__ == "__main__":
     iface.launch(share=True)
 
 
+