讯飞AI大模型Python API调用教程_python科大讯飞大模型api调用

一、领取试用

讯飞星火认知大模型-AI大语言模型-星火大模型-科大讯飞

二、登录控制台，获取服务器认证信息

APPID

APISecret

APIKey

控制台-讯飞开放平台

三、使用Python调用API

import _thread as thread
import base64
import datetime
import hashlib
import hmac
import json
from urllib.parse import urlparse
import ssl
from datetime import datetime
from time import mktime
from urllib.parse import urlencode
from wsgiref.handlers import format_date_time
 
import websocket  # 使用websocket_client
answer = ""
 
class Ws_Param(object):
    # 初始化
    def __init__(self, APPID, APIKey, APISecret, Spark_url):
        self.APPID = APPID
        self.APIKey = APIKey
        self.APISecret = APISecret
        self.host = urlparse(Spark_url).netloc
        self.path = urlparse(Spark_url).path
        self.Spark_url = Spark_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.Spark_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,one,two):
    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, domain= ws.domain,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 ="")
        global answer
        answer += content
        # print(1)
        if status == 2:
            ws.close()
 
 
def gen_params(appid, domain,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": domain,
                "temperature": 0.5,
                "max_tokens": 2048
            }
        },
        "payload": {
            "message": {
                "text": question
            }
        }
    }
    return data
 
 
def main(appid, api_key, api_secret, Spark_url,domain, question):
    # print("星火:")
    wsParam = Ws_Param(appid, api_key, api_secret, Spark_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.domain = domain
    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})
 
 

import SparkApi
#以下密钥信息从控制台获取
appid = "XXXXXXXX"     #填写控制台中获取的 APPID 信息
api_secret = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"   #填写控制台中获取的 APISecret 信息
api_key ="XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"    #填写控制台中获取的 APIKey 信息
 
#用于配置大模型版本，默认“general/generalv2”
domain = "general"   # v1.5版本
# domain = "generalv2"    # v2.0版本
#云端环境的服务地址
Spark_url = "ws://spark-api.xf-yun.com/v1.1/chat"  # v1.5环境的地址
# Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat"  # v2.0环境的地址
 
 
text =[]
 
# length = 0
 
def getText(role,content):
    jsoncon = {}
    jsoncon["role"] = role
    jsoncon["content"] = content
    text.append(jsoncon)
    return text
 
def getlength(text):
    length = 0
    for content in text:
        temp = content["content"]
        leng = len(temp)
        length += leng
    return length
 
def checklen(text):
    while (getlength(text) > 8000):
        del text[0]
    return text
    
 
 
if __name__ == '__main__':
    text.clear
    while(1):
        Input = input("\n" +"我:")
        question = checklen(getText("user",Input))
        SparkApi.answer =""
        print("星火:",end = "")
        SparkApi.main(appid,api_key,api_secret,Spark_url,domain,question)
        getText("assistant",SparkApi.answer)
        # print(str(text))