python自動化調用百度api解決驗證碼

from selenium import webdriver
from PIL import Image
import base64
import requests
import time

def baidu_api(Verification_code, AK, SK):#Verification_code驗證碼路徑,AK,SK百度雲的身份識別碼
    chrome.get_screenshot_as_file('reg.png')  # 獲取登陸頁面的圖片
    code_img = chrome.find_element_by_xpath(Verification_code)  # 找到驗證碼圖片的位置
    img = Image.open('reg.png')# 保存圖片
    c_img = img.crop((code_img.location['x'], code_img.location['y'], code_img.location['x'] + code_img.size['width'],
                      code_img.location['y'] + code_img.size['height']))  # 截取驗證碼圖片
    c_img.save('reg_code.png')
    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&' \
            'client_id='+AK+'&' \
            'client_secret='+ SK
    response = requests.get(host)
    token = response.json()['access_token']
    request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic"
    f = open('reg_code.png', 'rb')# 二進制方式打開圖片文件
    img = base64.b64encode(f.read())
    params = {"image": img}
    access_token = token
    request_url = request_url + "?access_token=" + access_token
    headers = {'content-type': 'application/x-www-form-urlencoded'}
    response = requests.post(request_url, data=params, headers=headers)
    dict_a = response.json()['words_result']
    if response:
        dict_a = eval(str(dict_a)[1:-1])#數據類型的格式轉換
        dict_a = dict(dict_a)#轉化為字典類型
        dict_a = dict_a['words']
        dict_a = "".join(dict_a.split())  # 使用一個空字符串合成列表內容生成新的字符串
        dict_a = dict_a.lower()#把大寫字母改為小寫字母
        return dict_a
    else:
        chrome.refresh()

chrome = webdriver.Chrome()#瀏覽器實例化
chrome.maximize_window()#最大化瀏覽器
chrome.get('自己登陸的網址')
test = baidu_api(Verification_code, AK, SK)#返回識別的驗證碼
chrome = webdriver.Chrome()
print(test)#驗證碼