一篇文章让你两种方式调用星火大模型，搭建属于自己的“chatgpt”

本文主要是介绍一篇文章让你两种方式调用星火大模型，搭建属于自己的“chatgpt”，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

申请

网址：星火大模型api注册链接

选择零元购

获取你专属的key、密钥、appid

方法1：使用jquery直接调用
 

html: 

  //应用插件-此插件用于对url编码加密，资源包已经上传，审核通过后，会在顶部显示<script src="../../js/crypto-js/rollups/hmac-sha256.js" type="text/javascript"></script><script src="../../js/crypto-js/components/enc-base64-min.js" type="text/javascript"></script><div class="QA-item-ft-cont"><div class="QA-item-ft-info"><textarea id="search_text"></textarea></div><div class="QA-item-ft-btn"><a  onclick="aisendmsg()" class="btn blue-bg search_btn" >发送</a></div></div>

注意：如果上面资源下载不了，可以关注“墨水直达”公众号，输入“crypto-js”即可下载插件

js：

<script type="text/javascript">var socket;//发送问题function aisendmsg() {var reqcontent = $("#search_text").val();if (reqcontent == "") {alert("请输入问题");return false;}reqcontent = reqcontent;  OpenWebsocket();   }
//开启websocketfunction OpenWebsocket() { //这里需要生成专属的url里按揭var url = getWebsocketUrl();if ('WebSocket' in window) {socket = new WebSocket(url)} else if ('MozWebSocket' in window) {socket = new MozWebSocket(url)} else {alert('浏览器不支持WebSocket')return}//连接打开事件socket.onopen = function () {webSocketSend();//发送消息给websocket}; // 接收到消息时触发的事件处理函数socket.onmessage = function (event) {//解析收到的消息//这里的数据是流式的，不是整体返回，所以需要自己拼接，这种流式数据的好处就是用户体验不错，接口响应速度var json = $.parseJSON(event.data);var code = json.header.code;if (code == 0) {var status = json.payload.choices.status;var content = json.payload.choices.text[0].content if (status != 2) {
//                        console.log("已接收到数据:" + event.data);}else {console.log("以收到最后一条数据")var totalTokens = json.payload.usage.text.total_tokens;console.log("消耗的token数")；//科大讯飞免费送两百万token数}} else {console.log("请求报错")}// 处理接收到的消息};//连接关闭事件socket.onclose = function () {console.log("Socket已关闭");};//发生了错误事件socket.onerror = function () {console.log("Socket发生了错误");}//窗口关闭时，关闭连接window.unload = function () {socket.close();};}//定义全局var api_secret = "文章前面让你保留的密钥";var api_key = "文章前面让你保留的key";var appid = "文章前面让你保留的appid";//这里是生成专属urlfunction getWebsocketUrl() {var date = new Date().toUTCString();var url = 'ws://spark-api.xf-yun.com/v2.1/chat'//这里我调用的是2.0版本的接口var host = "spark-api.xf-yun.com";var builder = "host: " + host + "\n" +"date: " + date + "\n" +"GET /v2.1/chat HTTP/1.1";var sha = hmacSha256(api_secret, builder);var authorization = 'api_key="' + api_key + '", algorithm="hmac-sha256", headers="host date request-line", signature="' + sha + '"';var path1 = "authorization" + "=" + btoa(authorization);var path2 = "date" + "=" + date;var path3 = "host" + "=" + host;url += "?" + path1 + "&" + path2 + "&" + path3;return url;}
//这里需要在页面中引用CryptoJS插件，插件已经上传，审核通过后将会显示在顶部function hmacSha256(apiSecretIsKey, buider) {var keyBytes = CryptoJS.enc.Utf8.parse(apiSecretIsKey);var messageBytes = CryptoJS.enc.Utf8.parse(buider);var hmac = CryptoJS.HmacSHA256(messageBytes, keyBytes);var signature = CryptoJS.enc.Base64.stringify(hmac);return signature;}//发送内容function webSocketSend() {var params = {"header": {"app_id": appid,"uid": user_token_id},"parameter": {"chat": {"domain": "generalv2",//因为我用的接口地址是2.0，如果你用的版本是1.5，需要将参数改成general"temperature": 0.5,//核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高"max_tokens": 8192,//如果你接口地址用的1.5，这里最大值为1,4096"chat_id": user_token_id//用于关联用户会话，也就是用户id，保证为一性即可，如果没有要求，你可以不写这个参数}},"payload": {"message": {"text": [] // 创建一个空数组用于存放要赋值的内容}}}
//# 如果想获取结合上下文的回答，需要开发者每次将历史问答信息一起传给服务端，如下示例//     var msg1 = {//   "role": "user", ////  "content":"第一个问题"//  };//     var msg2 = {//   "role": "assistant", //  "content": "第一个问题的回答"//  }; //传递参数var msg = {"role": "user", //assistant"content": $("#search_text").val() };params.payload.message.text.push(msg);socket.send(JSON.stringify(params))}
这样就完成调用啦</script>

视频效果如下： 

 

方法2：使用c#后台调用

 定义全局private static ClientWebSocket webSocket0;private static CancellationToken cancellation;//appidprivate const string x_appid = "你的appid";private const string api_secret = "你的密钥";private const string api_key = "你的key";private static string hostUrl1 = "https://spark-api.xf-yun.com/v1.1/chat";private static string hostUrl2 = "https://spark-api.xf-yun.com/v2.1/chat"; [HttpPost]public async Task<ResultRes> KDXF_OpenAI(string parm){ ResultRes res = new ResultRes();res.code = 1;try{OpenAI_Entity entity = JsonConvert.DeserializeObject<OpenAI_Entity>(parm);string resp = "";
//加密urlstring authUrl = GetAuthUrl(entity.type);string url = authUrl.Replace("http://", "ws://").Replace("https://", "wss://");
//开启websocketusing (webSocket0 = new ClientWebSocket()){await webSocket0.ConnectAsync(new Uri(url), cancellation);JsonRequest request = new JsonRequest();request.header = new Header(){app_id = x_appid,uid = entity.userid};var sqldetaillist =  xxxx；//这里是用户的历史问答数据，就不展示了，如果你们不需要历史问答，则可以省略List<Content> contentlist = new List<Content>();foreach (var item in sqldetaillist){Content entity1 = new Content();entity1.role = "user";entity1.content= item.content;contentlist.Add(entity1);entity1.role = "assistant";entity1.content = item.reqcontent;contentlist.Add(entity1);}
//如果没有历史问答，省略上面一段代码，从这里开始即可Content entity2 = new Content();entity2.role = "user";entity2.content = entity.content;contentlist.Add(entity2);request.parameter = new Parameter(){chat = new Chat(){domain = entity.type == 0 ? "general" : "generalv2",temperature = 0.7,//温度采样阈值，用于控制生成内容的随机性和多样性，值越大多样性越高；范围（0，1）max_tokens = entity.type == 0 ? 4096 : 8192,//生成内容的最大长度，范围（0，4096）；2.0版本（0，8192）}};request.payload = new Payload(){message = new Message(){text = contentlist }};string jsonString = JsonConvert.SerializeObject(request);//连接成功，开始发送数据var frameData2 = System.Text.Encoding.UTF8.GetBytes(jsonString.ToString());webSocket0.SendAsync(new ArraySegment<byte>(frameData2), WebSocketMessageType.Text, true, cancellation);// 接收流式返回结果进行解析byte[] receiveBuffer = new byte[1024];WebSocketReceiveResult result = await webSocket0.ReceiveAsync(new ArraySegment<byte>(receiveBuffer), cancellation);while (!result.CloseStatus.HasValue){if (result.MessageType == WebSocketMessageType.Text){string receivedMessage = Encoding.UTF8.GetString(receiveBuffer, 0, result.Count);//将结果构造为jsonJObject jsonObj = JObject.Parse(receivedMessage);int code = (int)jsonObj["header"]["code"];if (0 == code){int status = (int)jsonObj["payload"]["choices"]["status"];JArray textArray = (JArray)jsonObj["payload"]["choices"]["text"];string content = (string)textArray[0]["content"];resp += content;if (status != 2){Console.WriteLine($"已接收到数据： {receivedMessage}");}else{// Console.WriteLine($"最后一帧： {receivedMessage}");int totalTokens = (int)jsonObj["payload"]["usage"]["text"]["total_tokens"];
//Console.WriteLine($"整体返回结果： {resp}");
//Console.WriteLine($"本次消耗token数： {totalTokens}");res.totalTokens = totalTokens;res.result = resp;break;}} }else if (result.MessageType == WebSocketMessageType.Close){res.code = -1;res.result = "已关闭WebSocket连接";Console.WriteLine("已关闭WebSocket连接");break;}result = await webSocket0.ReceiveAsync(new ArraySegment<byte>(receiveBuffer), cancellation);}}}catch (Exception ex){res.code = -1;res.result = ex.Message;}return res;}private static string GetAuthUrl(int type = 0){string date = DateTime.UtcNow.ToString("r");Uri uri = new Uri(type == 0 ? hostUrl1 : hostUrl2);StringBuilder builder = new StringBuilder("host: ").Append(uri.Host).Append("\n").//Append("date: ").Append(date).Append("\n").//Append("GET ").Append(uri.LocalPath).Append(" HTTP/1.1");string sha = HMACsha256(api_secret, builder.ToString());string authorization = string.Format("api_key=\"{0}\", algorithm=\"{1}\", headers=\"{2}\", signature=\"{3}\"", api_key, "hmac-sha256", "host date request-line", sha);//System.Web.HttpUtility.UrlEncodestring NewUrl = "https://" + uri.Host + uri.LocalPath;string path1 = "authorization" + "=" + Convert.ToBase64String(System.Text.Encoding.UTF8.GetBytes(authorization));date = date.Replace(" ", "%20").Replace(":", "%3A").Replace(",", "%2C");string path2 = "date" + "=" + date;string path3 = "host" + "=" + uri.Host;NewUrl = NewUrl + "?" + path1 + "&" + path2 + "&" + path3;return NewUrl;}public static string HMACsha256(string apiSecretIsKey, string buider){byte[] bytes = System.Text.Encoding.UTF8.GetBytes(apiSecretIsKey);System.Security.Cryptography.HMACSHA256 hMACSHA256 = new System.Security.Cryptography.HMACSHA256(bytes);byte[] date = System.Text.Encoding.UTF8.GetBytes(buider);date = hMACSHA256.ComputeHash(date);hMACSHA256.Clear();return Convert.ToBase64String(date);}
//下面是实体类public class OpenAI_Entity{public string userid { get; set; }//请求用户的id，唯一性public string content { get; set; }//问题public int type { get; set; } //来源，如果type=0则调用1.5版本接口，如果type=1则调用2.0版本接口}//构造请求体public class JsonRequest{public Header header { get; set; }public Parameter parameter { get; set; }public Payload payload { get; set; }}public class Header{public string app_id { get; set; }public string uid { get; set; }}public class Parameter{public Chat chat { get; set; }}public class Chat{public string domain { get; set; }public double temperature { get; set; }public int max_tokens { get; set; }}public class Payload{public Message message { get; set; }}public class Message{public List<Content> text { get; set; }}public class Content{public string role { get; set; }public string content { get; set; }}

这篇关于一篇文章让你两种方式调用星火大模型，搭建属于自己的“chatgpt”的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！

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