code: def process_text(doc):
      input_text = " ".join(doc.strip().split())
      return nlp.tokenize(input_text)
  
file_path: nlp-architect/examples/ner/interactive.py
imports: from __future__ import division, print_function, unicode_literals, absolute_import
  import argparse
  import pickle
  import numpy
  from nlp_architect.models.ner_crf import NERCRF
  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 3 for calling a global function with example usage: process_text(doc) and returns: nlp