code: def get_response(self, input_text: str) -> str:
      # For GPT-2, we add punctuation and an extra newline if one does
      # not exist, and then take the first line generated
  
      if input_text.strip()[-1] not in [".", "?", "!"]:
          input_text += "."
  
      self.model.observe(
          {"text": input_text + "\n", "episode_done": True}
      )
      response = self.model.act()
      # split on newline
      response_texts = response.get("text").split("\n")
      for response_text in response_texts:
          if response_text:
              # return first non-empty string
              return response_text
  
      # produced only newlines or empty strings
      return ""
  
imports: from abc import ABC, abstractproperty
  from typing import Dict
  from parlai.core.agents import create_agent
  from projects.safety_bench.utils.wrapper_loading import register_model_wrapper
label_desc: Use image node_id 4 for calling the GPT2LargeWrapper obj's underlying member method code with example usage: obj.get_response(input_text) and returns: str, response_text