new_contents: import argparse
  
  from uncertainty.classifier import Classifier
  
  
  def train(args):
      classifier = Classifier(
              granularity=args.granularity, binary=not args.multiclass
          )
      classifier.train(args.filepath)
  
  
  def predict(args):
      classifier = Classifier(
              granularity=args.granularity, binary=not args.multiclass
          )
      print('{}: {}'.format(args.sentence, classifier.predict(args.sentence)))
  
  
  if __name__ == '__main__':
      parser = argparse.ArgumentParser(
              description='Command line access to the Linguistic Uncertainty '
                          'Classifier Interface (LUCI).'
          )
      subparsers = parser.add_subparsers(title='Commands')
  
      parser_train = subparsers.add_parser(
              'train', help='Train uncertainty classifier.'
          )
      parser_train.add_argument(
              '-g', '--granularity', choices=['word', 'sentence'],
              default='word',
              help='The granularity at which the classifier must be trained. '
                   'Default is word.'
          )
      parser_train.add_argument(
              '-m', '--multiclass', action='store_true',
              help='When set, the response variable is considered multi-class. '
                   'Consequently, a multi-class classifier is trained.'
          )
      parser_train.add_argument(
              'filepath',
              help='The absolute path to a file containining the training data.'
          )
      parser_train.set_defaults(handler=train)
  
      parser_predict = subparsers.add_parser(
              'predict', help='Predict uncertainty of a sentence.'
          )
      parser_predict.add_argument(
              '-g', '--granularity', choices=['word', 'sentence'],
              default='word',
              help='The granularity at which the prediction must be made. '
                   'Default is word.'
          )
      parser_predict.add_argument(
              '-m', '--multiclass', action='store_true',
              help='When set, the response variable is considered multi-class. '
                   'Consequently, a multi-class classifier is used for '
                   'prediction.'
          )
      parser_predict.add_argument(
              'sentence',
              help='A sentence for which the uncertainty is to be predicted.'
          )
      parser_predict.set_defaults(handler=predict)
      args = parser.parse_args()
      args.handler(args)
  
subject: Add command line access to uncertainty classifier