input: def generate_natural_language_response(utterance: str) -> str:
      """Given a sample utterance, the system generates natural language responses using a pre-trained model.
      >>> generate_natural_language_response("What time is it?")
      'It is currently [predicted time].'
      """
output:     from transformers import pipeline
      generator = pipeline('text-generation')
      response = generator(utterance, max_length=50)
      return response[0]['generated_text']