code: def run(self):
      ckpts = os.listdir(self.ckpt_path)
      checkpoint_1 = torch.load(os.path.join(self.ckpt_path, ckpts[0]))
      checkpoint_2 = torch.load(os.path.join(self.ckpt_path, ckpts[1]))
      print(f"Loaded checkpoint_1: {checkpoint_1}")
      print(f"Loaded checkpoint_2: {checkpoint_2}")
  
file_path: pytorch-lightning/docs/source-app/workflows/share_files_between_components/app.py
imports: import os
  import torch
  from lightning.app import LightningWork, LightningFlow, LightningApp
  from lightning.app.storage.path import Path
label_desc: Use image node_id 2 for calling the ModelDeploy obj's underlying member method code with example usage: obj.run() without return types