code: def get_words():
      """
      Returns list of words from nltk treebank
      """
      import nltk
  
      nltk.download("treebank")
      from nltk.corpus import treebank
  
      word_ls = []
      for item in treebank.fileids():
          for word, tag in treebank.tagged_words(item):
              # assuming the words are already lowered
              word = word.lower()
              word_ls.append(word)
  
      word_ls = list(set(word_ls))
      return word_ls
  
imports: from nltk import stem
  from cuml.preprocessing.text import stem
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 1 for calling a global function with example usage: get_words() and returns: word_ls