code: def read_input_args():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--model_path",
          type=validate_existing_filepath,
          required=True,
          help="Path of model weights",
      )
      parser.add_argument(
          "--model_info_path",
          type=validate_existing_filepath,
          required=True,
          help="Path of model topology",
      )
      input_args = parser.parse_args()
      return input_args
  
file_path: nlp-architect/examples/intent_extraction/interactive.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import argparse
  import pickle
  import numpy
  from nlp_architect.models.intent_extraction import MultiTaskIntentModel, Seq2SeqIntentModel
  from nlp_architect.utils.generic import pad_sentences
  from nlp_architect.utils.io import validate_existing_filepath
  from nlp_architect.utils.text import SpacyInstance
label_desc: Use image node_id 1 for calling a global function with example usage: read_input_args() and returns: input_args