Python word cloud example that takes an image, a source string, and builds a word cloud to match the image.

im2wordcloud.py

from wordcloud import WordCloud, ImageColorGenerator
from PIL import Image
import numpy as np

s = input("Source text:")
p = input("Image file:")
outfile = input("Out file?")

s = open(s, 'r').read()
coloring = np.array(Image.open(p))
image_colors=ImageColorGenerator(coloring)

# These settings need to be messed with or it won't really work :^)
# see the colored.py example in the word_cloud repo
# As in, needing to set color, max words, etc.
# It may be worth tweaking for better results
# See: https://github.com/amueller/word_cloud/blob/master/examples/colored.py
wc = WordCloud(background_color='white', max_words=2000, max_font_size=40,
mask=coloring)

wc.generate(s)
wc.recolor(color_func=image_colors)

wc.to_file(outfile)