Obtenga emociones de imágenes usando la API de emociones de Microsoft en Python

# 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)