因为需要将命名实体中的组织机构名进一步区分为政府、企业、社会组织等，在easydl上做了一个文本分类模型，但是要用这个接口时候发现，

官方文档中竟然还在用urllib2的库，且不完整。好多地方会报错，坑太多，摸索了一会终于解决了，成功访问我的模型。

代码如下：

获取AccessToken

import urllib, urllib.request, sys
import ssl

# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=M3H6z5****&client_secret=z5O*****'
request = urllib.request.Request(host)
request.add_header('Content-Type', 'application/json; charset=UTF-8')
response = urllib.request.urlopen(request)
content = response.read()
if (content):
    print(content)

获取结果

import urllib.request
import json
text="北大方正"
request_url = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/text_cls/orgclassify"
params = json.dumps({"text":text,"top_num": 6}).encode("utf-8")

access_token = '24****’
request_url = 'https://aip.baidubce.com/rpc/2.0/ai_custom/v1/text_cls/orgclassify?access_token=24******'
request = urllib.request.Request(url=request_url, data=params)
request.add_header('Content-Type', 'application/json')
response = urllib.request.urlopen(request)
content = response.read()
if content:
    resu=eval(str(content,'utf-8'))
    
    print (resu['results'][0]['name'],resu['results'][0]['score'])
    print(resu['results'])