Spring Boot 使用 ChatGPT API 开发一个聊天机器人

{  \"model\": \"text-davinci-003\",  \"prompt\": \"Say this is a test\",  \"max_tokens\": 7,  \"temperature\": 0,  \"top_p\": 1,  \"n\": 1,  \"stream\": false}

<!doctype html><html class=\"no-js\" lang=\"\">
   <head>      <meta charset=\"utf-8\">      <meta http-equiv=\"x-ua-compatible\" content=\"ie=edge\">      <title>Ai - Chat</title>      <meta name=\"description\" content=\"\">      <meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">      <style>         #chatgpt-response {            font-family: \"宋体\";            font-size: 20px;            color: #0000FF;            font-weight: bold;         }</style>
      <script>         async function callCHATGPT() {            var responseText1 = document.getElementById(\"chatgpt-response\");            responseText1.innerHTML = \"\"
            function printMessage(message) {               var responseText = document.getElementById(\"chatgpt-response\");               var index = 0;
               // 创建一个定时器，每隔一段时间打印一个字符               var interval = setInterval(function() {                     responseText.innerHTML += message[index];                     index++;
                     // 当打印完成时，清除定时器                     if (index >= message.length) {                        clearInterval(interval);                     }                  },                  150); // 每隔50毫秒打印一个字符            }            var xhr = new XMLHttpRequest();            var url = \"https://api.openai.com/v1/completions\";            xhr.open(\"POST\", url, true);            xhr.setRequestHeader(\"Content-Type\", \"application/json\");            xhr.setRequestHeader(\"Authorization\", \"Bearer API-KEY\");            xhr.onreadystatechange = function() {               if (xhr.readyState === 4 && xhr.status === 200) {                  var json = JSON.parse(xhr.responseText);                  var response = json.choices[0].text;
                  // 将CHATGPT的返回值输出到文本框                  var responseText = document.getElementById(\"chatgpt-response\");                  var index = 0;
                  // 创建一个定时器，每隔一段时间打印一个字符                  var interval = setInterval(function() {                        responseText.innerHTML += response[index];                        index++;
                        // 当打印完成时，清除定时器                        if (index >= response.length) {                           clearInterval(interval);                        }                     },                     50); // 每隔50毫秒打印一个字符               }            };
            var data = JSON.stringify({               \"prompt\": document.getElementById(\"chat-gpt-input\").value,               \"max_tokens\": 2048,               \"temperature\": 0.5,               \"top_p\": 1,               \"frequency_penalty\": 0,               \"presence_penalty\": 0,               \"model\": \"text-davinci-003\"            });            console.log(data);            await printMessage(\'正在思考，请等待......\');            await xhr.send(data);         }</script>   </head>
   <body>
      <div class=\"filter-menu text-center mb-40\">         <h4>与Ai对话，请描述您的需求-支持中文、英语、日本语等</h4>      </div>
      <textarea class=\"form-control\" id=\"chat-gpt-input\" placeholder=\"输入描述\" rows=\"3\" resize=\"none\"         style=\"width: 135%; margin: 0 auto; background-color: #f4f4f4; color: #333; border: 1px solid #ccc; border-radius: 12px;\"></textarea>      <button onclick=\"callCHATGPT()\" autocomplete=\"off\" class=\"btn btn-large\" href=\"#\"         style=\"background-color: #333; color: #f4f4f4; border-radius: 10px\">         <span class=\"spinner-border spinner-border-sm\" role=\"status\" aria-hidden=\"true\"></span>回答      </button>      <textarea class=\"form-control\" id=\"chatgpt-response\"         placeholder=\"请耐心等待回答 Ai生成它很快，但是由于网络问题我们需要等待，通常内容越长等待越久 如果长时间没反应请刷新页面重试\" rows=\"26\" resize=\"none\"         style=\"width: 150%;height: auto; margin: 0 auto; background-color: #f4f4f4; color: #333; border: 1px solid #ccc; border-radius: 10px; overflow: scroll;\"         readonly=\"true\"></textarea>

<dependency>    <groupId>com.theokanning.openai-gpt3-java</groupId>    <artifactId>service</artifactId>    <version>0.10.0</version></dependency>

String token = \"API-KEY \";//System.getenv(\"OPENAI_TOKEN\");
OpenAiService service = new OpenAiService(token);CompletionRequest completionRequest = CompletionRequest.builder()        .model(\"text-davinci-003\")        .prompt(\"今天天气怎么样？\")        .temperature(0.5)        .maxTokens(2048)        .topP(1D)        .frequencyPenalty(0D)        .presencePenalty(0D)        .build();service.createCompletion(completionRequest).getChoices().forEach(System.out::println);