Update app.py

app.py

@@ -7,7 +7,7 @@ import pickle
 with open("apartment_price_model.pkl", mode="rb") as f:
     model = pickle.load(f)
 
-def predict_price(neighborhood, rooms, area, has_balcony, is_renovated):
+def predict_price(rooms, area, has_balcony, is_renovated):
     # Default values for other features
     pop = 420217
     pop_dens = 4778
@@ -70,7 +70,7 @@ with gr.Blocks() as demo:
 
     submit_button.click(
         fn=predict_price,
-        inputs=[None, rooms, area, has_balcony, is_renovated],
+        inputs=[rooms, area, has_balcony, is_renovated],
         outputs=output
     )