code: def __init__(self, key):
      self.key = key
  
imports: from io import BytesIO
  import os
  import requests
  from zipfile import ZipFile
  import numpy
  import scipy.sparse
  from sklearn.base import TransformerMixin
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn.pipeline import Pipeline, FeatureUnion
  from sklearn.preprocessing import LabelBinarizer
  from lightfm import datasets
label_desc: Use image node_id 1 to create a new TupleExtractor object from inherited base classes: TransformerMixin with example: obj = TupleExtractor(key)