code: def request_code_sample(url: str) -> str:
      return f"""
  import base64
  from pathlib import Path
  import requests
  
  imgurl = "https://raw.githubusercontent.com/Lightning-AI/LAI-Triton-Server-Component/main/catimage.png"
  img = requests.get(imgurl).content
  img = base64.b64encode(img).decode("UTF-8")
  response = requests.post('{url}', json={{"image": img}})
  # If you are using basic authentication for your app, you should add your credentials to the request:
  # auth = requests.auth.HTTPBasicAuth('your_username', 'your_password')
  # response = requests.post('{url}', json={{"image": img}}, auth=auth)
  """
  
imports: import abc
  import asyncio
  import base64
  import os
  import platform
  from typing import TYPE_CHECKING, Any, Dict, Optional
  import requests
  import uvicorn
  from fastapi import FastAPI
  from lightning_utilities.core.imports import compare_version, module_available
  from pydantic import BaseModel
  from lightning.app.core.work import LightningWork
  from lightning.app.utilities.app_helpers import Logger
  from lightning.app.utilities.imports import _is_torch_available, requires
label_desc: Use image node_id 2 for calling the Image obj's underlying member method code with example usage: obj.request_code_sample(url) and returns: str, url, str, url, str