星火认知大模型API接入Python教程，中文回答效果非常友好

申请

地址大概是这个：

https://console.xfyun.cn/app/myapp

自己创建一个应用：

进入控制台：

注意：我已经申请好了，如果你需要使用，需要提交一个申请，一般第二天通过。

Python接入完整示例

我们可以看到右侧有三个参数：APPID、APISecret、APIKey，填入下方代码的main中即可：

import _thread as threadimport base64import datetimeimport hashlibimport hmacimport jsonfrom urllib.parse import urlparseimport sslfrom datetime import datetimefrom time import mktimefrom urllib.parse import urlencodefrom wsgiref.handlers import format_date_time# websocket-clientimport websocketclass Ws_Param(object):    # 初始化    def __init__(self, APPID, APIKey, APISecret, gpt_url):        self.APPID = APPID        self.APIKey = APIKey        self.APISecret = APISecret        self.host = urlparse(gpt_url).netloc        self.path = urlparse(gpt_url).path        self.gpt_url = gpt_url    # 生成url    def create_url(self):        # 生成RFC1123格式的时间戳        now = datetime.now()        date = format_date_time(mktime(now.timetuple()))        # 拼接字符串        signature_origin = "host: " + self.host + "\n"        signature_origin += "date: " + date + "\n"        signature_origin += "GET " + self.path + " HTTP/1.1"        # 进行hmac-sha256进行加密        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),     digestmod=hashlib.sha256).digest()        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')        authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')        # 将请求的鉴权参数组合为字典        v = {            "authorization": authorization,            "date": date,            "host": self.host        }        # 拼接鉴权参数，生成url        url = self.gpt_url + '?' + urlencode(v)        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致        return url# 收到websocket错误的处理def on_error(ws, error):    print("### error:", error)# 收到websocket关闭的处理def on_close(ws, status_code, reason):    print("")# 收到websocket连接建立的处理def on_open(ws):    thread.start_new_thread(run, (ws,))def run(ws, *args):    data = json.dumps(gen_params(appid=ws.appid, question=ws.question))    ws.send(data)# 收到websocket消息的处理def on_message(ws, message):    # print(message)    data = json.loads(message)    code = data['header']['code']    if code != 0:        print(f'请求错误: {code}, {data}')        ws.close()    else:        choices = data["payload"]["choices"]        status = choices["status"]        content = choices["text"][0]["content"]        print(content, end='')        if status == 2:            ws.close()def gen_params(appid, question):    """    通过appid和用户的提问来生成请参数    """    data = {        "header": {            "app_id": appid,            "uid": "1234"        },        "parameter": {            "chat": {                "domain": "general",                "random_threshold": 0.5,                "max_tokens": 2048,                "auditing": "default"            }        },        "payload": {            "message": {                "text": [                    {"role": "user", "content": question}                ]            }        }    }    return datadef main(appid, api_key, api_secret, gpt_url, question):    wsParam = Ws_Param(appid, api_key, api_secret, gpt_url)    websocket.enableTrace(False)    wsUrl = wsParam.create_url()    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)    ws.appid = appid    ws.question = question    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})if __name__ == "__main__":    # 测试时候在此处正确填写相关信息即可运行    main(appid="",         api_secret="",         api_key="",         gpt_url="ws://spark-api.xf-yun.com/v1.1/chat",         question="鲁迅和周树人是同一个人吗？")

运行如下：

似乎看起来跟GPT4.0回答差不多？总体效果还很好

来源地址：https://blog.csdn.net/weixin_46211269/article/details/131720896