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Update app.py
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app.py
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@@ -77,8 +77,8 @@ if (should_train_model=='1'): #train model
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# Read the CSV files into pandas DataFrames they will later by converted to DataTables and used to train and evaluate the model
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file_train_df = fetch_and_update_training_data(file_path_train)
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file_test_df = pd.read_csv(file_path_test)
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#combine dataframes to get all possible labels/classifications for both training and evaluating - to get all possible labels (intents)
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# Read the CSV files into pandas DataFrames they will later by converted to DataTables and used to train and evaluate the model
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#file_train_df = fetch_and_update_training_data(file_path_train)
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#file_test_df = pd.read_csv(file_path_test)
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#combine dataframes to get all possible labels/classifications for both training and evaluating - to get all possible labels (intents)
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