Update app.py

app.py

@@ -7,7 +7,7 @@ from sklearn.compose import ColumnTransformer
 from sklearn.pipeline import Pipeline
 
 # Load the trained model (assuming it's saved as a .pkl file)
-model = joblib.load('trained_model.pkl')
+model = joblib.load('RandomForestRegressor_model.pkl')
 
 # Example: sample transformers for preprocessing
 num_features = ['year', 'km_driven']  # Example numerical features