Update app.py

app.py

@@ -63,6 +63,11 @@ def load_model_and_encodings():
         with st.spinner('Loading model...'):
             model_content = hf_hub_download(repo_id="EdBoy2202/car_prediction_model", filename="car_price_modelv3.pkl")
             model = joblib.load(model_content)
+
+            # Debug: Print the expected feature names
+            st.write("Model loaded successfully.")
+            st.write("Expected feature names:")
+            st.write(model.feature_names_in_)  # Display the feature names
         return model
     except Exception as e:
         st.error(f"Error loading model: {str(e)}")
@@ -78,14 +83,14 @@ def predict_price(model, brand, model_name, year):
         'Mileage_per_year': 12000,
         'Make': brand,  # Use the separated make
         'Model': model_name,  # Use the separated model
-        'Condition': 'Used',
-        'Fuel': 'Gasoline',
-        'Title_status': 'Clean',
-        'Transmission': 'Automatic',
-        'Drive': 'Fwd',
-        'Size': 'Mid-Size',
-        'Type': 'Sedan',
-        'Paint_color': 'White'
+        'Condition': 'Used',  # Default condition
+        'Fuel': 'Gasoline',  # Default fuel type
+        'Title_status': 'Clean',  # Default title status
+        'Transmission': 'Automatic',  # Default transmission
+        'Drive': 'Fwd',  # Default drive
+        'Size': 'Mid-Size',  # Default size
+        'Type': 'Sedan',  # Default type
+        'Paint_color': 'White'  # Default color
     }
     
     # Prepare the input for the model