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 clear(self):
      print("Clearing conversations log")
      self.conversation = []
      # remove the file in path exists
      if os.path.exists(self.path):
          os.remove(self.path)
  
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 5 for calling the ConversationLog obj's underlying member method code with example usage: obj.clear() without return types