Update app.py

app.py

@@ -20,7 +20,7 @@ def pred(Area, Room, Parking, Warehose, Elevator, Address):
       x_new_df = pd.DataFrame(x_new, columns=columns)
       return f'the price is {mlpipe.predict(x_new_df)}T'
 
-inputs = [gr.Number(100, label='What area do you want it to be in?'),
+inputs = [gr.Number(1000, label='What area do you want it to be in?'),
           gr.Slider(minimum=0, maximum=10, step=1, label='How many rooms do you want it to have ?'),
           gr.Dropdown({'yes': 1, 'No': 0}, label='Does it have a parking ?'),
           gr.Dropdown({'yes': 1, 'No': 0}, label='Does it have a warehouse ?'),