masked_wc.py

image_file = read_file("1kHhmo4fj5PqhpH2x_hVY6uUDgf2_G0Tn")

# create mask
alice_mask = np.array(Image.open(image_file))

# remove stopwords
stopwords = set(STOPWORDS)
stopwords.add("said")

# generate word cloud
wc = WordCloud(background_color="white", max_words=2000, mask=alice_mask,
               stopwords=stopwords)
wc.generate(document)

# plot the word cloud
plt.figure(figsize=(8,6), dpi=120)
plt.imshow(wc, interpolation='bilinear')
plt.axis("off")
plt.show()