Python3调用讯飞AI，进行文字识别

# coding=utf-8
import os
import time
import random
import base64
import hashlib
import requests
from dataclasses import dataclass

@dataclass
class xunfeiAPIMsg():
    api_id:  str
    api_key: str
    api_url: str
    image:   str
    curTime: str

    def get_param_base64(self):
        param = '{"engine_type": "recognize_document"}'
        paramBase64 = base64.b64encode(param.encode("utf-8"))
        return paramBase64.decode()

    def get_img_base64str(self):
        """生成原始图片的base64编码数据,得到image参数"""
        if not isinstance(self.image, str):
            return None
        if not os.path.isfile(self.image):
            return None
        with open(self.image, 'rb') as fp:
            imgbase64 = base64.b64encode(fp.read())
            return imgbase64.decode()

    def gen_checkSum_md5(self):
        sign = self.api_key + self.curTime + self.get_param_base64()
        md5 = hashlib.md5()
        md5.update(sign.encode())
        return md5.hexdigest()

    def get_ocr_result(self):
        header = {
            'X-CurTime':    self.curTime,
            'X-Param':      self.get_param_base64(),
            'X-Appid':      self.api_id,
            'X-CheckSum':   self.gen_checkSum_md5(),
            'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8', }
        data = {'image': self.get_img_base64str()}

        result = requests.post(
            self.api_url, data=data, headers=header)
        res = ''
        try:
            result = result.json()
            for lines in result['data']['document']['blocks']:
                res += lines['lines'][-1]['text'] + "\n"
        except:
            res = ''
        return res


if __name__ == "__main__":
    api_id = "5******6"                             #需要自己申请
    api_key = "8************************a"          #需要自己申请
    api_url = "http://webapi.xfyun.cn/v1/service/v1/ocr/recognize_document"
    curTime = str(int(time.time()))
    image = "F:\\20180829193608871.jpg"

    xunfei = xunfeiAPIMsg(api_id, api_key, api_url, image, curTime)
    result = xunfei.get_ocr_result()
    print(result)