import requests
import json

KEY = "7ccfba2675a34b65891ac6ffba1b5d9c"
ENDPOINT = "https://aiproject3education.cognitiveservices.azure.com/face/v1.0/detect"
image_url = "https://images.wisegeek.com/business-people-in-agreement.jpg"
headers = {'Ocp-Apim-Subscription-Key': KEY}

params = {
    'returnFaceId':'true',
    'returnFaceLandmarks':'false',
    'returnFaceAttributes':'emotion'
}

response = requests.post(ENDPOINT, params=params, headers=headers,json={'url':image_url})

data = response.json()

nrp = len(data)
nrs = 0
for person in data:
    emotions = person['faceAttributes']['emotion']
    maxv = 0
    maxe = ""
    for emotion in emotions.keys():
        if emotions[emotion] > maxv:
            maxv = emotions[emotion]
            maxe = emotion
    if maxe == 'disgust' or maxe=='sadness' or maxe=='anger':
        nrs+=1
    elif maxe=='neutral':
        nrs+=0.5
if nrp > 2:
    print("Bored") if nrs>=nrp//2 else print("Entertained")
elif nrs>0:
    print("Bored")
else:
    print("Entertained")