code: def main(argv: Sequence[str]) -> Optional[dev_server.LitServerType]:
      if len(argv) > 1:
          raise app.UsageError("Too many command-line arguments.")
  
      # Load models, according to the --models flag.
      models = {}
      for model_name_or_path in _MODELS.value:
          model_name = os.path.basename(model_name_or_path)
          # set number of images to generate default is 6
          models[model_name] = model.DalleModel(
              model_name=model_name_or_path, predictions=6
          )
  
      datasets = {"Dalle_prompt": dataset.DallePrompts()}
  
      for name in datasets:
          datasets[name] = datasets[name].slice[: _MAX_EXAMPLES.value]
          logging.info(
              "Dataset: '%s' with %d examples",
              name,
              len(datasets[name]),
          )
  
      lit_demo = dev_server.Server(
          models,
          datasets,
          layouts=_CUSTOM_LAYOUTS,
          **server_flags.get_flags(),
      )
      return lit_demo.serve()
  
file_path: lit/lit_nlp/examples/dalle/demo.py
imports: from collections.abc import Sequence
  import os
  import sys
  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.api import layout
  from lit_nlp.examples.dalle import dataset
  from lit_nlp.examples.dalle import model
label_desc: Use image node_id 2 for calling a global function with example usage: main(argv) and returns: lit_demo