code: def make_world(opt, agents):
      # Extract important components from opt
      statistics_condition = opt["statistics_condition"]
      context_generator = opt["context_generator"]
  
      # Get context: personas, previous utterances, etc.
      if context_generator is not None:
          context_info = context_generator.get_context()
      else:
          context_info = None
  
      # Decide on a bot to use
      run_statistics = opt["run_statistics"]
      with statistics_condition:
          remaining_counts_needed = [
              (m, c - run_statistics[m])
              for (m, c) in opt["conversations_needed"].items()
          ]
          remaining_counts_needed.sort(reverse=True, key=lambda x: x[1])
          model_name = remaining_counts_needed[0][0]
          print(
              f"Remaining conversation counts needed: {remaining_counts_needed}"
          )
          print(f'Choosing the "{model_name}" model for the bot.')
      bot_worker = get_bot_worker(opt=opt, model_name=model_name)
  
      return ModelChatWorld(
          opt,
          agent=agents[0],
          bot=bot_worker,
          context_info=context_info,
      )
  
imports: import time
  import os
  import json
  from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple
  import numpy
  from parlai.core.agents import create_agent_from_shared
  from parlai.core.message import Message
  from parlai.core.worlds import validate
  from parlai.crowdsourcing.utils.acceptability import AcceptabilityChecker
  from parlai.crowdsourcing.utils.worlds import CrowdOnboardWorld, CrowdTaskWorld
  from parlai.crowdsourcing.tasks.model_chat.bot_agent import TurkLikeAgent
  from parlai.crowdsourcing.tasks.model_chat.constants import ONBOARD_FAIL, ONBOARD_SUCCESS
  from parlai.crowdsourcing.tasks.model_chat.utils import Compatibility
  from parlai.crowdsourcing.utils.mturk import get_mturk_id_from_mephisto_wrapper
  from typing import TYPE_CHECKING
label_desc: Use image node_id 4 for calling a global function with example usage: make_world(opt, agents) and returns: ModelChatWorld