code: def main():
      args = parse_args()
      max_batch_size = 4
      max_seq_len = 1024
      max_gen_len = 64
      prompts = [
          "Who are you?",
          "1 + 1 -> 3\n" "2 + 2 -> 5\n" "3 + 3 -> 7\n" "4 + 4 -> ",
          "请问你是什么模型？",
      ]
  
      temperature = 1.0  # for greedy decoding
      top_p = 0.9
  
      generator = Mixtral.build(
          ckpt_dir=args.model_weights,
          tokenizer_path=args.tokenizer,
          max_seq_len=max_seq_len,
          max_batch_size=max_batch_size,
          num_gpus=args.num_gpus,
      )
      results = generator.text_completion(
          prompts,
          max_gen_len=max_gen_len,
          temperature=temperature,
          top_p=top_p,
      )
      for prompt, result in zip(prompts, results):
          print("=" * 30 + "Example START" + "=" * 30 + "\n")
          print("[Prompt]:\n{}\n".format(prompt))
          print("[Response]:\n{}\n".format(result["generation"]))
          print("=" * 30 + "Example END" + "=" * 30 + "\n")
  
imports: import argparse
  from mixtralkit.mixtral import Mixtral
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types