Update app.py

app.py

@@ -131,7 +131,7 @@ if st.button("Predict"):
 
                 # Make predictions using the pre-trained model
                 prediction = rf_clf.predict(X_new_scaled)
-
+                y_pred_proba = rf_clf.predict_proba(X_new_scaled)
                 # loaded_model = pickle.load(open('Random_Forest.sav', 'rb'))
                 # prediction = loaded_model.predict(np.array(single_sample))