Tensorflow 2.0 predict from image URL

url_predict.py

import numpy as np
from tensorflow.keras.preprocessing import image
from tensorflow.keras.utils import get_file

img_url = 'paste-url-here'
random_string_for_file_name = 'test_image'
img = image.load_img(get_file(random_string_for_file_name,img_url),target_size=(150,150))

img_arr = image.img_to_array(img)
img_arr = np.expand_dims(img_arr, axis=0)
images = np.vstack([img_arr])

classes = model.predict(images, batch_size=10)