code: def get_avatars(base_model, model_path_llama, inference_server=""):
      if base_model == "llama":
          base_model = model_path_llama
      if inference_server is None:
          inference_server = ""
  
      model_base = os.getenv("H2OGPT_MODEL_BASE", "models/")
      human_avatar = "human.jpg"
      if "h2ogpt-gm".lower() in base_model.lower():
          bot_avatar = "h2oai.png"
      elif (
          "mistralai".lower() in base_model.lower()
          or "mistral".lower() in base_model.lower()
          or "mixtral".lower() in base_model.lower()
      ):
          bot_avatar = "mistralai.png"
      elif "01-ai/Yi-".lower() in base_model.lower():
          bot_avatar = "yi.svg"
      elif "wizard" in base_model.lower():
          bot_avatar = "wizard.jpg"
      elif "openchat" in base_model.lower():
          bot_avatar = "openchat.png"
      elif "vicuna" in base_model.lower():
          bot_avatar = "vicuna.jpeg"
      elif "longalpaca" in base_model.lower():
          bot_avatar = "longalpaca.png"
      elif "llama2-70b-chat" in base_model.lower():
          bot_avatar = "meta.png"
      elif "llama2-13b-chat" in base_model.lower():
          bot_avatar = "meta.png"
      elif "llama2-7b-chat" in base_model.lower():
          bot_avatar = "meta.png"
      elif "llama2" in base_model.lower():
          bot_avatar = "lama2.jpeg"
      elif "llama-2" in base_model.lower():
          bot_avatar = "lama2.jpeg"
      elif "llama" in base_model.lower():
          bot_avatar = "lama.jpeg"
      elif (
          "openai" in base_model.lower()
          or "openai" in inference_server.lower()
      ):
          bot_avatar = "openai.png"
      elif "hugging" in base_model.lower():
          bot_avatar = "hf-logo.png"
      elif "claude" in base_model.lower():
          bot_avatar = "anthropic.jpeg"
      elif "gemini" in base_model.lower():
          bot_avatar = "google.png"
      else:
          bot_avatar = "h2oai.png"
  
      bot_avatar = os.path.join(model_base, bot_avatar)
      human_avatar = os.path.join(model_base, human_avatar)
  
      human_avatar = (
          human_avatar if os.path.isfile(human_avatar) else None
      )
      bot_avatar = bot_avatar if os.path.isfile(bot_avatar) else None
      return human_avatar, bot_avatar
  
imports: import os
  import math
  import gradio
label_desc: Use image node_id 2 for calling a global function with example usage: get_avatars(base_model, model_path_llama, inference_server) and returns: human_avatar,  bot_avatar