code: def load_demo_refresh_model_list(request: gr.Request):
      state = default_conversation.copy()
      dropdown_update = gr.Dropdown.update(
          choices=models, value=models[0] if len(models) > 0 else ""
      )
      return state, dropdown_update
  
imports: import argparse
  import datetime
  import json
  import os
  import time
  import gradio
  import requests
  from llmga.llava.conversation import default_conversation, conv_templates, SeparatorStyle
  from llmga.llava.constants import LOGDIR
  from llmga.llava.utils import build_logger, server_error_msg, violates_moderation, moderation_msg
  from llmga.llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
  from llmga.llava.conversation import conv_templates, SeparatorStyle
  from llmga.llava.model.builder import load_pretrained_model
  from llmga.llava.utils import disable_torch_init
  from llmga.llava.mm_utils import tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria
  import hashlib
  import torch
  from llmga.diffusers.pipeline_stable_diffusion_xl_lpw import StableDiffusionXLPipeline
  import copy
label_desc: Use image node_id 2 for calling a global function with example usage: load_demo_refresh_model_list(request) and returns: state,  dropdown_update