code: def doc(text):
      spacy_lang = load_spacy_lang("en_core_web_sm")
      return make_spacy_doc(text, lang=spacy_lang)
  
imports: import numpy
  import pytest
  import scipy.sparse
  from spacy.tokens import Doc, Span
  import textacy.datasets
  from textacy import Corpus
  from textacy import extract, preprocessing
  from textacy import load_spacy_lang, make_spacy_doc
  from textacy.extract import keyterms
  from textacy.text_stats import TextStats
  from textacy.tm import TopicModel
  from textacy.representations import Vectorizer
label_desc: Use image node_id 2 for calling a global function with example usage: doc(text) and returns: make_spacy_doc