code: def add_subparser(self, name, parser):
      # pylint: disable=protected-access
      description = (
          """Run the specified model against a JSON-lines input file."""
      )
      subparser = parser.add_parser(
          name,
          description=description,
          help="Use a trained model to make predictions.",
      )
  
      subparser.add_argument(
          "archive_file",
          type=unicode,
          help="the archived model to make predictions with",
      )
      subparser.add_argument(
          "input_file", type=unicode, help="path to input file"
      )
  
      subparser.add_argument(
          "--output-file", type=unicode, help="path to output file"
      )
      subparser.add_argument(
          "--weights-file",
          type=unicode,
          help="a path that overrides which weights file to use",
      )
  
      batch_size = subparser.add_mutually_exclusive_group(
          required=False
      )
      batch_size.add_argument(
          "--batch-size",
          type=int,
          default=1,
          help="The batch size to use for processing",
      )
  
      subparser.add_argument(
          "--silent",
          action="store_true",
          help="do not print output to stdout",
      )
  
      cuda_device = subparser.add_mutually_exclusive_group(
          required=False
      )
      cuda_device.add_argument(
          "--cuda-device",
          type=int,
          default=-1,
          help="id of GPU to use (if any)",
      )
  
      subparser.add_argument(
          "--use-dataset-reader",
          action="store_true",
          help="Whether to use the dataset reader of the original model to load Instances",
      )
  
      subparser.add_argument(
          "-o",
          "--overrides",
          type=unicode,
          default="",
          help="a JSON structure used to override the experiment configuration",
      )
  
      subparser.add_argument(
          "--predictor",
          type=unicode,
          help="optionally specify a specific predictor to use",
      )
  
      subparser.set_defaults(func=_predict)
  
      return subparser
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  import argparse
  import sys
  import json
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.util import lazy_groups_of
  from allennlp.models.archival import load_archive
  from allennlp.predictors.predictor import Predictor, JsonDict
  from allennlp.data import Instance
  from io import open
label_desc: Use image node_id 1 for calling the Predict obj's underlying member method code with example usage: obj.add_subparser(name, parser) and returns: subparser