#LebaranBabes

lebaranbabes.py

#!/usr/bin/env python

import urllib
import urllib2
import json
import oauth2 as oauth

class Lebaran:
	def __init__(self):
		# twitter access key
		self.consumer_key = ''
		self.consumer_secret = ''
		self.access_key = ''
		self.access_secret = ''

		# alchemi api key
		self.alchemi_key = ''

	def twitter_search(self):
		consumer = oauth.Consumer(key=self.consumer_key, secret=self.consumer_secret)
		token = oauth.Token(key=self.access_key, secret=self.access_secret)
		client = oauth.Client(consumer, token)

		header, response = client.request('https://api.twitter.com/1.1/search/tweets.json?q=lebaranbabes&include_entities=true&count=50',method="GET")

		return response

	def face_detect(self, media_url):
		encoded_url = urllib.quote_plus(media_url)
		face_url = 'http://access.alchemyapi.com/calls/url/URLGetRankedImageFaceTags?apikey={0}&outputMode=json&url={1}'.format(self.alchemi_key, encoded_url)
		img_data = urllib2.urlopen(face_url).read()
		img_json = json.loads(img_data)
		if img_json['status'] == 'OK':
			if len(img_json['imageFaces']) > 0:
				age_range = img_json['imageFaces'][0]['age']['ageRange']
				gender = img_json['imageFaces'][0]['gender']['gender']
				return_resp = {
					'age' : age_range,
					'gender' : gender,
				}
			else:
				return_resp = False
		else:
			return_resp = False

		return return_resp

if __name__ == '__main__':
	babes = Lebaran()
	data = babes.twitter_search()
	convert = json.loads(data)
	for i in convert['statuses']:
		if 'media' in i['entities']:
			img_url = i['entities']['media'][0]['media_url']
			face = babes.face_detect(img_url)
			if face:
				print 'gender: {0}| age range: {1}'.format(face['gender'], face['age'])