code: def _get_predictor(args: argparse.Namespace) -> Predictor:
      check_for_gpu(args.cuda_device)
      archive = load_archive(
          args.archive_file,
          weights_file=args.weights_file,
          cuda_device=args.cuda_device,
          overrides=args.overrides,
      )
  
      predictor_args = args.predictor_args.strip()
      if len(predictor_args) <= 0:
          predictor_args = {}
      else:
          import json
  
          predictor_args = json.loads(predictor_args)
  
      return Predictor.from_archive(
          archive,
          args.predictor,
          dataset_reader_to_load=args.dataset_reader_choice,
          extra_args=predictor_args,
      )
  
imports: from typing import List, Iterator, Optional
  import argparse
  import sys
  import json
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common import logging
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.file_utils import cached_path, open_compressed
  from allennlp.common.util import lazy_groups_of
  from allennlp.data.dataset_readers import MultiTaskDatasetReader
  from allennlp.models.archival import load_archive
  from allennlp.predictors.predictor import Predictor, JsonDict
  from allennlp.data import Instance
label_desc: Use image node_id 1 for calling a global function with example usage: _get_predictor(args) and returns: Predictor