class_docstr: Interact with a model and get TO/AS/ABOUT predictions for each utterance.
docstr: Agent 0 goes first.
  
  Alternate between the two agents.
docstr_tok: ["Agent","0","goes","first",".","Alternate","between","the","two","agents","."]
code: def parley(self):
      """
      Agent 0 goes first.
  
      Alternate between the two agents.
      """
      acts = self.acts
      human_agent, model_agent = self.agents
  
      # human act
      act = deepcopy(human_agent.act())
  
      self_pred, partner_pred, about_pred = get_axis_predictions(
          act,
          model_agent,
          self_threshold=self.opt["self_threshold"],
          partner_threshold=self.opt["partner_threshold"],
      )
  
      pred_text = f"SELF: {self_pred}\nPARTNER: {partner_pred}\nABOUT: {about_pred}"
      acts[1] = {
          "id": "MDGender Classifier",
          "text": pred_text,
          "episode_done": True,
      }
  
      human_agent.observe(validate(acts[1]))
      self.update_counters()
  
file_path: ParlAI/parlai/tasks/md_gender/worlds.py
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from copy import deepcopy
  import torch.nn.functional
  from parlai.core.worlds import DialogPartnerWorld, validate
  import parlai.tasks.md_gender.utils
label_desc: Use image node_id 3 for calling the InteractiveWorld obj's underlying member method code with example usage: obj.parley() without return types