Update

Author: wenbinf

notebooklm_detector.py

@@ -100,12 +100,3 @@ def predict(file_path, model_path='model.pkl'):
  else:
  result = predict(args.file_path, model_path=args.model_path)
  print(f'The audio is: {result}')
-
- # Train the model on a dataset of AI vs human audio samples
- # dataset_path = './datasets' # Replace with the actual path to the dataset
- # train_model(dataset_path)
-
- # Example prediction on a new audio file
- # file_path = './test/a.mp3' # Replace with the actual path to the audio file
- # result = predict(file_path)
- # print(f'The audio is: {result}')