code: def generate_stream_gate(self, params):
      try:
          for x in self.generate_stream(params):
              yield x
      except ValueError as e:
          print("Caught ValueError:", e)
          ret = {
              "text": server_error_msg,
              "error_code": 1,
          }
          yield json.dumps(ret).encode() + b"\0"
      except torch.cuda.CudaError as e:
          print("Caught torch.cuda.CudaError:", e)
          ret = {
              "text": server_error_msg,
              "error_code": 1,
          }
          yield json.dumps(ret).encode() + b"\0"
      except Exception as e:
          print("Caught Unknown Error", e)
          ret = {
              "text": server_error_msg,
              "error_code": 1,
          }
          yield json.dumps(ret).encode() + b"\0"
  
imports: import argparse
  import asyncio
  import json
  import time
  import threading
  import uuid
  import pickle
  import os
  import numpy
  from fastapi import FastAPI, Request, BackgroundTasks
  from fastapi.responses import StreamingResponse
  import requests
  import torch
  import uvicorn
  from functools import partial
  from llamavid.constants import WORKER_HEART_BEAT_INTERVAL
  from llamavid.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
  from llamavid.model.builder import load_pretrained_model
  from llava.mm_utils import process_images, load_image_from_base64, tokenizer_image_token, KeywordsStoppingCriteria
  from llava.utils import build_logger, server_error_msg, pretty_print_semaphore
  from transformers import TextIteratorStreamer
  from threading import Thread
  from llamavid.train.llama_flash_attn_monkey_patch import replace_llama_attn_with_flash_attn
  from decord import VideoReader, cpu
label_desc: Use image node_id 9 for calling the ModelWorker obj's underlying member method code with example usage: obj.generate_stream_gate(params) without return types