Update app.py

app.py

@@ -37,7 +37,7 @@ def predict_house_price(longitude, latitude, housing_median_age, total_rooms,
     input_data = scaler.transform([[longitude, latitude, housing_median_age, total_rooms,
                                     total_bedrooms, population, households, median_income]])
     prediction = model.predict(input_data)[0]
-    return prediction
+    return f"${prediction:,.2f}"
 
 # Create dashboard function
 def create_dashboard():
@@ -57,14 +57,14 @@ def create_dashboard():
 iface_predict = gr.Interface(
     fn=predict_house_price,
     inputs=[
-        gr.Number(label="Longitude"),  # Use gr.Number directly
-        gr.Number(label="Latitude"),
-        gr.Number(label="Housing Median Age"),
-        gr.Number(label="Total Rooms"),
-        gr.Number(label="Total Bedrooms"),
-        gr.Number(label="Population"),
-        gr.Number(label="Households"),
-        gr.Number(label="Median Income"),
+        gr.Number(label="Longitude", info="Enter the longitude of the house."),
+        gr.Number(label="Latitude", info="Enter the latitude of the house."),
+        gr.Number(label="Housing Median Age", info="Enter the median age of the house."),
+        gr.Number(label="Total Rooms", info="Enter the total number of rooms."),
+        gr.Number(label="Total Bedrooms", info="Enter the total number of bedrooms."),
+        gr.Number(label="Population", info="Enter the population in the area."),
+        gr.Number(label="Households", info="Enter the number of households in the area."),
+        gr.Number(label="Median Income", info="Enter the median income of the households.")
     ],
     outputs="text",
     title="House Price Prediction",