这篇文章主要介绍“怎么调用chatGPT实现代码机器人”的相关知识,小编通过实际案例向大家展示操作过程,操作方法简单快捷,实用性强,希望这篇“怎么调用chatGPT实现代码机器人”文章能帮助大家解决问题。
1.需要拥有chatGPT账号,进入官网需要科学上网自行解决
2.在登录时打开f12,抓取关键包
3.需要注意的是此token只能存活一天,所以说你要对接到QQ机器人或者是微信机器人的情况下,需要每天手动获取一次token,需要对接QQ机器人可以看我往期的博客,只需要将以下两种方式的任意一种封装成方法进行调用即可!
基于SpringBoot实现QQ机器人_木芒果呀的博客-CSDN博客_android_phone、android_pad、android_watch
1.在项目中引入Httpclient依赖
<!-- httpclient --> <dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.13</version> </dependency> <!-- fastjson --> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>2.0.7</version> </dependency>
2.测试类
/** * 使用httpclient调用chatGPT */ public class App { public static void main(String[] args) throws Exception { //通过登录chatgpt截取页面的token信息 String au = "token"; String sendMsg = "发送的消息"; String user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36 Edg/108.0.1462.42"; String json = "{\"action\":\"next\",\"messages\":[{\"id\":\"16f7cd15-5e7a-461b-8992-81a80ae770fa\",\"role\":\"user\",\"content\":{\"content_type\":\"text\",\"parts\":[\"" + sendMsg + "\"]}}],\"conversation_id\":\"add24670-9871-421a-bf23-e210b5021099\",\"parent_message_id\":\"c743b493-c2dc-454e-aacd-9ce90cb1ee97\",\"model\":\"text-davinci-002-render\"}"; System.out.println(json); HttpPost httpPost = new HttpPost("https://chat.openai.com/backend-api/conversation"); httpPost.addHeader("authorization", au); httpPost.addHeader("user-agent", user_agent); httpPost.setHeader("Content-type", "application/json; charset=utf-8"); httpPost.setEntity(new StringEntity(json, StandardCharsets.UTF_8)); CloseableHttpClient httpClient = HttpClients.createDefault(); CloseableHttpResponse response = httpClient.execute(httpPost); String body = EntityUtils.toString(response.getEntity(), StandardCharsets.UTF_8); String[] splitR = body.split("\n\n"); String replaceFirst = splitR[splitR.length - 2].replaceFirst("data: ", ""); String res = JSON.parseObject(replaceFirst).getJSONObject("message").getJSONObject("content").getJSONArray("parts").getString(0); System.out.println(res); } }
1.在项目中引入依赖
<!-- hutool --> <dependency> <groupId>cn.hutool</groupId> <artifactId>hutool-all</artifactId> <version>5.8.10</version> </dependency> <!-- fastjson --> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>2.0.7</version> </dependency>
2.测试类
/** * 使用hutool调用chatGPT */ public class App { public static void main(String[] args) throws Exception { //通过登录chatgpt截取页面的token信息 String au = "token"; String sendMsg = "发送的消息"; String user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36 Edg/108.0.1462.42"; String json = "{\"action\":\"next\",\"messages\":[{\"id\":\"adfe88e4-f92f-4f21-9145-e227068ce9ca\",\"role\":\"user\",\"content\":{\"content_type\":\"text\",\"parts\":[\""+sendMsg+"\"]}}],\"parent_message_id\":\"2a557b41-7e53-4fc4-a28f-cfb0c67b29a7\",\"model\":\"text-davinci-002-render\"}"; String body = HttpRequest.post("https://chat.openai.com/backend-api/conversation") .header("authorization", au) .header("user-agent", user_agent) .body(StrFormatter.format(json)).execute().body(); String[] splitR = body.split("\n\n"); String replaceFirst= splitR[splitR.length - 2].replaceFirst("data: ", ""); String res = JSON.parseObject(replaceFirst).getJSONObject("message").getJSONObject("content").getJSONArray("parts").getString(0); System.out.println(res); } }
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