code: def run(self):
          
          for fn in glob_all(self.args.random_data_folder, '*.wav'):
              if fn in self.trained_fns:
                  print('Skipping ' + fn + '...')
                  continue
  
              print('Starting file ' + fn + '...')
              self.train_on_audio(fn)
              print('\r100%                 ')
  
              self.trained_fns.append(fn)
              save_trained_fns(self.trained_fns, self.args.model)
docs: Begin reading through audio files, saving false
          activations and retraining when necessary