Update app.py

app.py

@@ -40,7 +40,7 @@ model = Pipeline(steps=[
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
 model.fit(X_train, y_train)
 
-# Make predictions and evaluate the model
+# Evaluate the model (optional, you can remove this if not needed)
 y_pred = model.predict(X_test)
 mse = mean_squared_error(y_test, y_pred)
 
@@ -63,7 +63,7 @@ transmission_type = st.sidebar.selectbox('Transmission Type', ['Manual', 'Automa
 fuel_type = st.sidebar.selectbox('Fuel Type', ['Petrol', 'Diesel', 'CNG', 'LPG'])
 car_name = st.sidebar.text_input('Car Name')
 brand = st.sidebar.text_input('Brand')
-model = st.sidebar.text_input('Model')
+model_name = st.sidebar.text_input('Model')
 
 # Button to trigger the prediction
 if st.sidebar.button('Predict Price'):
@@ -77,7 +77,7 @@ if st.sidebar.button('Predict Price'):
         'seats': [seats],
         'car_name': [car_name],
         'brand': [brand],
-        'model': [model],
+        'model': [model_name],
         'seller_type': [seller_type],
         'fuel_type': [fuel_type],
         'transmission_type': [transmission_type]