Python script to analyze emotion of image

# Python script to analyze
# emotion of image
import http.client, urllib.request
import urllib.parse, urllib.error
import base64, sys
import simplejson as json

# replace with subscription_key
# you obtained after registration
subscription_key = '12f29133caf4406493e81b6a31c47c1a'

headers = {

	# Request headers. Replace
	# the placeholder key
	# below with your
	# subscription key.
	'Content-Type': 'application/json',
	'Ocp-Apim-Subscription-Key': subscription_key,
}

params = urllib.parse.urlencode({
})

# Replace the URL
# below with the
# URL of the image
# you want to analyze.
url1 = 'IMAGE URL TO BE ADDED HERE'
body = { 'url': url1 }
newbody =str(body)

try:
	# NOTE: You must use the same region in your REST call as you used to obtain your subscription keys.
	# For example, if you obtained your subscription keys from westcentralus, replace "westus" in the
	# URL below with "westcentralus".
	conn = http.client.HTTPSConnection('westus.api.cognitive.microsoft.com')
	conn.request("POST", "/emotion/v1.0/recognize?%s" % params, newbody, headers)
	response = conn.getresponse()
	data = response.read()

	parsed = json.loads(data)
	print ("Response:")
	print (json.dumps(parsed, sort_keys=True, indent=2))

	# the emotion of image
	# will the max value of
	# any emotion obtained
	# from the different
	# scores of each emotion
	val = parsed[0]["scores"]
	res = max(val, key = val.get)
	print ("\nEmotion :: ",res)

	conn.close()
except Exception as e:
	print(e.args)