input: def generate_natural_language_response(utterance: str) -> str:
      """Generate a natural language response based on a given utterance using a pre-trained model.
      >>> generate_natural_language_response("What time is it?")
      '[Prediction from the model]'
      """
output:     from transformers import pipeline
      generator = pipeline('text-generation', model='gpt-2')
      response = generator(utterance, max_length=50, num_return_sequences=1)
      return response[0]['generated_text']