old_contents: 
  import argparse
  
  from rasa_nlu import training_data
  from rasa_nlu.utils import write_to_file
  
  
  def create_argument_parser():
      parser = argparse.ArgumentParser(
              description='Convert training data formats into one another')
  
      parser.add_argument('-d', '--data_file',
                          required=True,
                          help='file or dir containing training data')
  
      parser.add_argument('-o', '--out_file',
                          required=True,
                          help='file where to save training data in rasa format')
  
      parser.add_argument('-l', '--language',
                          default='en',
                          help='language of the data')
  
      parser.add_argument('-f', '--format',
                          required=True,
                          choices=['json', 'md'],
                          help="Output format the training data should be "
                               "converted into.")
      return parser
  
  
  def convert_training_data(data_file, out_file, output_format, language):
      td = training_data.load_data(data_file, language)
  
      if output_format == 'md':
          output = td.as_markdown()
      else:
          output = td.as_json(indent=2)
  
      write_to_file(out_file, output)
  
  
  if __name__ == "__main__":
      parser = create_argument_parser()
      args = parser.parse_args()
  
      convert_training_data(args.data_file,
                            args.out_file,
                            args.format,
                            args.language)
  
new_contents: import argparse
  
  from rasa_nlu import training_data
  from rasa_nlu.utils import write_to_file
  
  
  def create_argument_parser():
      parser = argparse.ArgumentParser(
              description='Convert training data formats into one another')
  
      parser.add_argument('-d', '--data_file',
                          required=True,
                          help='file or dir containing training data')
  
      parser.add_argument('-o', '--out_file',
                          required=True,
                          help='file where to save training data in rasa format')
  
      parser.add_argument('-l', '--language',
                          default='en',
                          help='language of the data')
  
      parser.add_argument('-f', '--format',
                          required=True,
                          choices=['json', 'md'],
                          help="Output format the training data should be "
                               "converted into.")
      return parser
  
  
  def convert_training_data(data_file, out_file, output_format, language):
      td = training_data.load_data(data_file, language)
  
      if output_format == 'md':
          output = td.as_markdown()
      else:
          output = td.as_json(indent=2)
  
      write_to_file(out_file, output)
  
  
  if __name__ == "__main__":
      parser = create_argument_parser()
      args = parser.parse_args()
  
      convert_training_data(args.data_file,
                            args.out_file,
                            args.format,
                            args.language)
  
subject: Update rasa_nlu/convert.py