利用百度人脸识别API实现一款简单的Python颜值打分

import requests
import base64
import time
import os

def access_token(ak, sk):
    """获取接口认证,获取认证代码"""
    response = requests.get(f'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={ak}&client_secret={sk}')
    if response.status_code == 200:
        return response.json()['access_token']
    else:
        print('获取token失败...')

ak = '22F5CIXEg69Uc9vyMggrgZAb'
sk = 'cd5wylpIu1W19rLtqzrVh1FHnVO73uRH'
token = access_token(ak, sk)

img = 'XXX.jpg'
# 检测

# 颜值打分
def appearance(file_path, token):
    # 图片打开成二进制
    with open(file_path, 'rb') as f:
        # 转成base64编码 只要二进制图片数据
        data = base64.b64encode(f.read())
    headers = {'content-type': 'application/json'}
    params = {
        'image': data,
        'image_type': 'BASE64',
        # 要获取的颜值打分分数
        'face_field': 'beauty'
    }
    url = f'https://aip.baidubce.com/rest/2.0/face/v3/detect?access_token={token}'
    res = requests.post(url, headers=headers, data=params)
    if res.status_code == 200:
        beauty = res.json()['result']['face_list'][0]["beauty"]
        return beauty
    else:
        return '认证失败'

path = 'C:\\Users\\Administrator\\Desktop\\代码堆\\手机壁纸'
img_list = os.listdir(path)
score_dict = {}
for image in img_list:
    try:
        name = image.split('.')[0]
        image_path = path + '/' + image
        score = appearance(image_path, token)
        score_dict[name] = score
    except:

        print(f'正在检测{name} | 检测失败!!!')
    else:
        print(f'正在检测{name} | 颜值打分为:{score}')
    time.sleep(0.5)

print('\n======================================================检测完成======================================================\n')
print(score_dict)
print(score_dict.items())

change_score = sorted(score_dict.items(),key=lambda x: x[1], reverse=True)
print(change_score)

# enumerate 枚举，把change_score里面的数据一一列出来
print(list(enumerate(change_score)))

for a, b in enumerate(change_score):
    print(f'小姐姐的名字是: {change_score[a][0]} | 颜值名次是: 第{a + 1} | 她的颜值分数为: {change_score[a][1]}')