class_docstr: Save the conversation:
  (user input, model output, rewards and learn_counter)
  during the RL training loop.
class_docstr_tok: ["Save","the","conversation",":","(","user","input",",","model","output",",","rewards","and","learn_counter",")","during","the","RL","training","loop","."]
code: def load(self):
      with open(self.path, "r") as f:
          self.conversation = json.load(f)
  
file_path: nebuly/optimization/chatllama/chatllama/rlhf/utils.py
imports: import json
  import os
  from beartype import beartype
  from plotly import graph_objects
label_desc: Use image node_id 4 for calling the ConversationLog obj's underlying member method code with example usage: obj.load() without return types