code: def download_input():
      import requests
  
      url = "http://download.tensorflow.org/example_images/flower_photos.tgz"
      print(
          "downloading '{}' into '{}'".format(
              url, os.path.abspath("flower_photos.tgz")
          )
      )
      r = requests.get(url)
      with open("flower_photos.tgz", "wb") as f:
          f.write(r.content)
  
      print(
          "decompressing flower_photos.tgz to '{}'".format(
              os.path.abspath("flower_photos")
          )
      )
      with tarfile.open("flower_photos.tgz") as tar:
          tar.extractall(path="./")
  
imports: import math
  import os
  import tarfile
  import click
  import keras
  import numpy
  import tensorflow
  from image_pyfunc import decode_and_resize_image, log_model
  from keras.applications import vgg16
  from keras.callbacks import Callback
  from keras.layers import Dense, Flatten, Input, Lambda
  from keras.models import Model
  from keras.utils import np_utils
  from sklearn.model_selection import train_test_split
  import mlflow
  from mlflow.models import infer_signature
label_desc: Use image node_id 1 for calling a global function with example usage: download_input() without return types