Update app.py

app.py

@@ -138,10 +138,10 @@ if st.button("Predict"):
                         with open('xgboost_model.pkl', 'rb') as f:
                             model = pickle.load(f)
                     elif selected_model == 'Random Forest':
-                        with open('rf_clf.pkl', 'rb') as f:
+                        with open('best_rf_model.pkl', 'rb') as f:
                             model = pickle.load(f)
                     elif selected_model == 'SVM':
-                        with open('svm_model.pkl', 'rb') as f:
+                        with open('best_svm_model.pkl', 'rb') as f:
                             model = pickle.load(f)
     
                     # Make predictions