code: def inference(self, data):
      result = self.model.create_completion(
          data["prompt"],
          max_tokens=data["max_tokens"],
          top_p=data["top_p"],
          temperature=data["temperature"],
          stop=["Q:", "\n"],
          echo=True,
      )
      tokens = self.model.tokenize(bytes(data["prompt"], "utf-8"))
      return result
  
file_path: serve/examples/LLM/llama2/chat_app/llama_cpp_handler.py
imports: import logging
  import os
  from abc import ABC
  import torch
  from llama_cpp import Llama
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 4 for calling the LlamaCppHandler obj's underlying member method code with example usage: obj.inference(data) and returns: result