input: def generate_natural_language_response(utterance: str) -> str:
      """Generates a natural language response based on the given utterance using a 
      pre-trained model. The model is trained to predict responses based on input 
      utterances.
      
      Example:
      >>> generate_natural_language_response("What time is it?")
      'The time is [predicted time].'
      """
output:     from transformers import pipeline
      generator = pipeline('text-generation', model='gpt2')
      response = generator(utterance, max_length=50, num_return_sequences=1)
      return response[0]['generated_text']