1-讯飞星火

进入讯飞官网进行创建应用，获取相关密钥APPID，APISecret，APIKey，选择最新版本
首次调用讯飞官方api可能有两问题：

1-No module named 'websocket'#安装 pip install websocket_client==1.4.22-spark_url="ws(s)://spark-api.xf-yun.com/v3.1/chat"#改为"ws://spark-api.xf-yun.com/v3.1/chat"

现搞了个完整的代码如下：
第一个相关请求的代码：SparkApi.py 相关参数可自行修改

1_1-SparkApi.py

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_timeimport websocket # answer =""classWs_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urldefcreate_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 +"\" signature_origin +="date: "+ date +"\" 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defon_error(ws, error):print("### error:", error)# 收到websocket关闭的处理defon_close(ws,one,two):print(" ")# 收到websocket连接建立的处理defon_open(ws): thread.start_new_thread(run,(ws,))defrun(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defon_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()defgen_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,"random_threshold":0.5,"max_tokens":2048,#"auditing":"default"}},"payload":{"message":{"text": question }}}return datadefmain(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})

1_2- Chat_spark.py

通过创建应用获取密钥，选择版本创建，这里用的是3.0版本

import SparkApiclassSparkProcessor:#以下密钥信息从控制台获取3.0 appid ="xxx"#填写控制台中获取的 APPID 信息 api_secret ="xxxx"#填写控制台中获取的 APISecret 信息 api_key ="xxx"#填写控制台中获取的 APIKey 信息# # #2.0# appid = "xxx" #填写控制台中获取的 APPID 信息# api_secret = "xxx" #填写控制台中获取的 APISecret 信息# api_key ="xxx" #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 domain ="generalv3"# v3.0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 Spark_url ="ws://spark-api.xf-yun.com/v3.1/chat"@staticmethoddefget_text(role, content): jsoncon ={} jsoncon["role"]= role jsoncon["content"]= content return jsoncon @staticmethoddefget_length(text): length =0for content in text: temp = content["content"] leng =len(temp) length += leng return length @staticmethoddefcheck_len(text):while SparkProcessor.get_length(text)>8000:del text[0]return text @staticmethoddefspark_api(question): question = SparkProcessor.check_len([SparkProcessor.get_text("user", question)]) SparkApi.answer ="" SparkApi.main( SparkProcessor.appid, SparkProcessor.api_key, SparkProcessor.api_secret, SparkProcessor.Spark_url, SparkProcessor.domain, question,)return SparkApi.answer

1_3-调用api

prompt的基本写法规则：
任务：明确而简洁地陈述Prompt 要求模型生成的内容
指令：模型在生成文本时应遵循的指令。
角色：模型在生成文本时应扮演的角色。

prompt1="""将文本分类为中性、负面或正面。 文本：我认为这次假期还可以。 情感："""from Chat_spark import SparkProcessorresult = SparkProcessor.spark_api(prompt1)print(result)#中性

2-百度文心

人设+任务目标及解决方式+附加条件完整陈述

2_1.code

创建应用获取相关密钥

# -*- coding: utf-8 -*-# @Author : Elvis# @Time : 2023/11/13 10:56# @File : get_chat.py# @describe: ""api_key ='xxx'api_id ='xxx'secret_key ='xxx'name ='CHAT'import requestsimport jsondefget_access_token(api_k, secret_k):""" 使用 API Key，Secret Key 获取access_token，替换下列示例中的应用API Key、应用Secret Key """ url ="https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"%( api_k, secret_k)# print('url: ', url) payload = json.dumps("") headers ={'Content-Type':'application/json','Accept':'application/json'} response = requests.request("POST", url, headers=headers, data=payload)return response.json().get("access_token")defget_main(prompt,sys=None): res = get_access_token(api_key, secret_key)# print('res: ', res)# url = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions?access_token=" + get_access_token() url ="https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions_pro?access_token="+ res payload = json.dumps({"messages":[{"role":"user","content": prompt }],# "stream": True,"temperature":0.1,#(0, 1.0]"system":sys }) headers ={'Content-Type':'application/json'} response = requests.request("POST", url, headers=headers, data=payload) res = response.text print(res) res1 = json.loads(res)# print(res1)return res1['result']

3-两者之间比较与openai

目前国内的效果在某些方面还是差点意思，没有公开过prompt实例，文心对格式控制很难把控，很难去掉提示语，星火给出的结果有时候偏差很大，估计还得明年中旬，训练慢慢好起来。

相关promot guide
想写好prompt，可以先上B站看一下关于吴恩达对openai 的prompt 视频。