code: def main(argv: Sequence[str]) -> Optional[dev_server.LitServerType]:
      if len(argv) > 1:
          raise app.UsageError("Too many command-line arguments.")
  
      model_path = _MODEL_PATH.value or tempfile.mkdtemp()
      logging.info("Working directory: %s", model_path)
      run_finetuning(model_path)
  
      # Load our trained model.
      models = {"sst": glue_models.SST2Model(model_path)}
      datasets = {"sst_dev": glue.SST2Data("validation")}
  
      # Start the LIT server. See server_flags.py for server options.
      lit_demo = dev_server.Server(
          models, datasets, **server_flags.get_flags()
      )
      return lit_demo.serve()
  
file_path: lit/lit_nlp/examples/quickstart_sst_demo.py
imports: from collections.abc import Sequence
  import sys
  import tempfile
  from typing import Optional
  from absl import app
  from absl import flags
  from absl import logging
  from lit_nlp import dev_server
  from lit_nlp import server_flags
  from lit_nlp.examples.datasets import glue
  from lit_nlp.examples.models import glue_models
label_desc: Use image node_id 3 for calling a global function with example usage: main(argv) and returns: lit_demo