code: def launch_gradio_demo(tool_class: Tool):
      """
      Launches a gradio demo for a tool. The corresponding tool class needs to properly implement the class attributes
      `inputs` and `outputs`.
  
      Args:
          tool_class (`type`): The class of the tool for which to launch the demo.
      """
      try:
          import gradio as gr
      except ImportError:
          raise ImportError(
              "Gradio should be installed in order to launch a gradio demo."
          )
  
      tool = tool_class()
  
      def fn(*args, **kwargs):
          return tool(*args, **kwargs)
  
      gr.Interface(
          fn=fn,
          inputs=tool_class.inputs,
          outputs=tool_class.outputs,
          title=tool_class.__name__,
          article=tool.description,
      ).launch()
  
imports: import base64
  import importlib
  import inspect
  import io
  import json
  import os
  import tempfile
  from typing import Any, Dict, List, Optional, Union
  from huggingface_hub import create_repo, hf_hub_download, metadata_update, upload_folder
  from huggingface_hub.utils import RepositoryNotFoundError, build_hf_headers, get_session
  from ..dynamic_module_utils import custom_object_save, get_class_from_dynamic_module, get_imports
  from ..image_utils import is_pil_image
  from ..models.auto import AutoProcessor
  from ..utils import CONFIG_NAME, cached_file, is_accelerate_available, is_torch_available, is_vision_available, logging
  from .agent_types import handle_agent_inputs, handle_agent_outputs
label_desc: Use image node_id 2 for calling a global function with example usage: launch_gradio_demo(tool_class) and returns: tool