Warning: This script will make you cry

tear.py

from PIL import Image
import urllib
import urllib2
import json
import os
import sys

API_ENDPOINT = 'http://rekognition.com/func/api/?'
TEAR_IMG_URL = 'http://i.imgur.com/7VAlEVf.png'
API_KEY = ''
API_SECRET = ''

def encode_request_url(img_url):
	''' Get the request URL '''
	req_params = {
		'api_key' : API_KEY,
		'api_secret' : API_SECRET,
		'jobs' : 'face_part',
		'urls' : img_url
	}
	return API_ENDPOINT + urllib.urlencode(req_params)

def get_face_data(url):
	''' Get the face recognition data from the API '''
	response = urllib2.urlopen(url)
	data = json.load(response)
	try:
		return data['face_detection'][0]
	except IndexError:
		print 'No Faces found.'
		sys.exit(0)

def get_image(url, name=None):
	''' Download the image to the CWD '''
	if name is None:
		name = url.split('/')[-1]
	with open(name,'wb') as f:
		f.write(urllib.urlopen(url).read())
	return name

def add_tear(picname, data, tear_file, eye_side):
	''' Add the tear '''
	path = os.path.dirname(os.path.abspath(__file__))
	picname = os.path.join(path, picname)
	tear_file = os.path.join(path, tear_file)

	background = Image.open(picname)
	foreground = Image.open(tear_file)

	factor = 2.0
	try:
		ratio_h = int(data['eye_left']['y']) / 4
	except KeyError:
		print 'No faces found.'
		return
	ratio_w = int((float(foreground.size[0]) * float(ratio_h) / 100.0)) / 4
	foreground = foreground.resize((ratio_w, ratio_h))

	if eye_side == 'l':
		eye = (max(int(data['eye_left']['x']) - int(foreground.size[0] / factor * 2), 0), int(data['eye_left']['y']) + int(foreground.size[1] / (factor * 2)))
	else:
		eye = (max(int(data['eye_right']['x']) - int(foreground.size[0] / factor * 2), 0), int(data['eye_right']['y']) + int(foreground.size[1] / (factor * 2)))
	background.paste(foreground, eye, foreground)
	background.show()
	background.save(picname)

def main(image_url, side='l'):
	print 'Downloading image...'
	picname = get_image(image_url)
	print 'Saved as %s' % picname

	tear_file_name = get_image(TEAR_IMG_URL, 'tear.png')
	url = encode_request_url(image_url)
	print 'Getting face data...'
	face_data = get_face_data(url)

	print 'Meshing...'
	add_tear(picname, face_data, tear_file_name, side)

if __name__ == '__main__':
	if len(sys.argv) < 2 or len(sys.argv) > 3:
		print 'Usage: python cry.py IMAGE_URL [LR]'
		sys.exit(1)
	print 'URL: %s' % sys.argv[1]
	if len(sys.argv) == 2:
		main(sys.argv[1])
	elif len(sys.argv) == 3:
		main(sys.argv[1], sys.argv[2])