input: 
  def generate_natural_language_response(utterance: str) -> str:
      """ Given a sample utterance, this function generates a natural language response
      using a pre-trained neural network model. The input to the model is the query, and
      the output is a predicted response.
      >>> generate_natural_language_response("What time is it?")
      "[<some prediction>]"
      """
  
output:     from transformers import pipeline
      generator = pipeline('text-generation')
      response = generator(utterance, max_length=50)
      return response[0]['generated_text']