code: def test_exported_model(scripted_model_file: str, inputs: List[str]):
      with PathManager.open(scripted_model_file, "rb") as f:
          scripted_module = torch.jit.load(f)
  
      print("\nGenerating given the scripted module:")
      context = []
      for input_ in inputs:
          print(" TEXT: " + input_)
          context.append(input_)
          label = scripted_module("\n".join(context))
          print("LABEL: " + label)
          context.append(label)
  
imports: import argparse
  from typing import List
  import torch.jit
  from parlai.utils.io import PathManager
label_desc: Use image node_id 1 for calling a global function with example usage: test_exported_model(scripted_model_file, inputs) without return types