Update app.py

app.py

@@ -80,6 +80,8 @@ if (should_train_model=='1'): #train model
     #file_train_df = fetch_and_update_training_data(file_path_train)
     #file_test_df = pd.read_csv(file_path_test)
 
+    file_train_df = pd.read_csv(file_path_train)
+    file_test_df = pd.read_csv(file_path_test)
     
     #combine dataframes to get all possible labels/classifications for both training and evaluating - to get all possible labels (intents)
     df = pd.concat([file_train_df, file_test_df], ignore_index=True)