code: def run(self, best_model_path: str):
      # Load the model from the model path
      model = ImageClassifier.load_from_checkpoint(best_model_path)
      model.serve(output="labels")
  
file_path: pytorch-lightning/docs/source-app/code_samples/quickstart/app/app_1.py
imports: import flash
  from flash.core.data.utils import download_data
  from flash.image import ImageClassificationData, ImageClassifier
  from lightning.app import LightningWork, LightningFlow, LightningApp, CloudCompute
  from lightning.pytorch.callbacks import ModelCheckpoint
label_desc: Use image node_id 1 for calling the ImageClassifierServeWork obj's underlying member method code with example usage: obj.run(best_model_path) without return types