Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import pickle
 import json
 import numpy as np
+import pandas as pd
 
 # Load model and columns
 with open("kigali_model.pickle", "rb") as f:
@@ -58,11 +59,11 @@ def predict(size_sqm, number_of_bedrooms, number_of_bathrooms, number_of_floors,
 
 # Define Gradio interface components
 inputs = [
-    gr.Number(label="Size (sqm)",  minimum=0),
-    gr.Number(label="Number of Bedrooms", minimum=0),
-    gr.Number(label="Number of Bathrooms", minimum=0),
-    gr.Number(label="Number of Floors", minimum=0),
-    gr.Number(label="Parking Space", minimum=0),
+    gr.Number(label="Size (sqm)", value=0),
+    gr.Number(label="Number of Bedrooms", value=0),
+    gr.Number(label="Number of Bathrooms", value=0),
+    gr.Number(label="Number of Floors", value=0),
+    gr.Number(label="Parking Space", value=0),
     gr.Dropdown(choices=list(location_mapping.keys()), label="Location"),
     gr.Dropdown(choices=list(property_type_mapping.keys()), label="Property Type")
 ]