code: def get_chatbot_name(
      base_model, model_path_llama, inference_server="", debug=False
  ):
      if not debug:
          inference_server = ""
      else:
          inference_server = " : " + inference_server
      if base_model == "llama":
          model_path_llama = os.path.basename(model_path_llama)
          if model_path_llama.endswith("?download=true"):
              model_path_llama = model_path_llama.replace(
                  "?download=true", ""
              )
          return f"h2oGPT [Model: {model_path_llama}{inference_server}]"
      else:
          return f"h2oGPT [Model: {base_model}{inference_server}]"
  
imports: import os
  import math
  import gradio
label_desc: Use image node_id 1 for calling a global function with example usage: get_chatbot_name(base_model, model_path_llama, inference_server, debug) and returns: str, model_path_llama, inference_server, str, str, base_model, inference_server, str