input: 
  def generate_natural_language_response(utterance: str) -> str:
      """ Generates a natural language response based on the given utterance using a pre-trained model.
      >>> generate_natural_language_response("What time is it?")
      'The current time is 10:30 AM.'
      """
  
output:     
      from transformers import pipeline
  
      # Load a pre-trained model for text generation
      generator = pipeline('text-generation', model='gpt-2')
  
      # Generate a response based on the utterance
      response = generator(utterance, max_length=50, num_return_sequences=1)
  
      # Extract the generated text from the response
      return response[0]['generated_text']
  