springboot+chatgpt+chatUI Pro开发智能聊天工具

应广大网友要求，也为了节约大家的时间现为大家奉献上源码下载地址：https://download.csdn.net/download/xiangyuanhong08/87708197源码下载后在IDEA导入项目后自己修改配置文件中apiKey运行即可。

一、技术介绍

1.chatgpt-java是一个OpenAI的Java版SDK，支持开箱即用。目前以支持官网全部Api。支持最新版本GPT-3.5-Turbo模型以及whisper-1模型。

2.Spring Boot是由Pivotal团队提供的全新框架，其设计目的是用来简化新Spring应用的初始搭建以及开发过程。该框架使用了特定的方式来进行配置，从而使开发人员不再需要定义样板化的配置。通过这种方式，Spring Boot致力于在蓬勃发展的快速应用开发领域(rapid application development)成为领导者。

3.ChatUI Pro 是在ChatUI 基础组件的基础上，结合阿里小蜜的最佳实践，沉淀和总结出来的一个开箱即用的，可快速搭建智能对话机器人的框架。它简单易上手，通过简单的配置就能搭建出对话机器人；同时它强大易扩展，通过丰富的接口和自定义卡片满足各种定制化需求。

二、项目介绍

本项目采用了GPT-3.5-Turb模型作为基础，通过springboot结合redis、chat-java以及chatUI Pro实现简单的人工智能机器人。因为访问openAI的API返回结果比较慢，项目中当前端将问题请求发送到后端后，后端会将生成一个UUID，返回前端，同时后端也会重新开启一个线程去访问openAI，当openAI返回结果后，后端将UUID做为key，openAI返回的结果做为value存储到redis中。前端会根据后端第一次请求的结果中UUID做为参数每个5s请求一次后端的answer接口，answer接口会根据UUID查询redis是否有值，直到后端answer接口返回结果后前端将结果输出给用户

三、项目搭建

1.创建springboot项目，项目命名mychatgpt。

2.导入项目pom的依赖

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.5.12</version><relativePath/> <!-- lookup parent from repository --></parent><groupId>com.xyh</groupId><artifactId>mychatgpt</artifactId><version>0.0.1-SNAPSHOT</version><name>mychatgpt</name><description>Demo project for Spring Boot</description><properties><java.version>8</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-aop</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><exclusions><exclusion><groupId>org.apache.logging.log4j</groupId><artifactId>log4j-api</artifactId></exclusion><exclusion><groupId>org.apache.logging.log4j</groupId><artifactId>log4j-to-slf4j</artifactId></exclusion></exclusions><scope>test</scope></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.apache.httpcomponents</groupId><artifactId>httpcore</artifactId></dependency><dependency><groupId>com.theokanning.openai-gpt3-java</groupId><artifactId>api</artifactId><version>0.10.0</version></dependency><dependency><groupId>com.theokanning.openai-gpt3-java</groupId><artifactId>service</artifactId><version>0.10.0</version></dependency><dependency><groupId>com.theokanning.openai-gpt3-java</groupId><artifactId>client</artifactId><version>0.10.0</version></dependency><dependency><groupId>cn.hutool</groupId><artifactId>hutool-all</artifactId><version>5.8.12</version></dependency><dependency><groupId>com.unfbx</groupId><artifactId>chatgpt-java</artifactId><version>1.0.5</version></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId><version>8.0.17</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>druid-spring-boot-starter</artifactId><version>1.2.8</version></dependency><dependency><groupId>com.baomidou</groupId><artifactId>mybatis-plus-boot-starter</artifactId><version>3.5.2</version><exclusions><exclusion><groupId>com.baomidou</groupId><artifactId>mybatis-plus-generator</artifactId></exclusion></exclusions></dependency><dependency><groupId>com.github.yulichang</groupId><artifactId>mybatis-plus-join</artifactId><version>1.4.2</version></dependency><!--集成随机生成数据包 --><dependency><groupId>com.apifan.common</groupId><artifactId>common-random</artifactId><version>1.0.19</version></dependency><!--集成随机生成数据包 --><dependency><groupId>junit</groupId><artifactId>junit</artifactId><scope>test</scope></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><configuration><excludes><exclude><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></exclude></excludes></configuration></plugin></plugins></build>
</project>

3.编写chatGPT实现工具类

package com.xyh.mychatgpt.utils;
import com.unfbx.chatgpt.OpenAiClient;
import com.unfbx.chatgpt.entity.chat.ChatChoice;
import com.unfbx.chatgpt.entity.chat.ChatCompletion;
import com.unfbx.chatgpt.entity.chat.Message;
import com.unfbx.chatgpt.entity.common.Choice;
import com.unfbx.chatgpt.entity.completions.Completion;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import java.util.Arrays;
import java.util.List;
/*** @author xiangyuanhong* @description: TODO* @date 2023/3/21上午9:28*/
@Component
public class ChatGPTUtils {@Value("${xyh.openai.key}")private  String token;@Autowiredprivate RedisUtils redisUtils;public void ask(String model,String question,String uuid){StringBuffer result=new StringBuffer();try {OpenAiClient openAiClient = new OpenAiClient(token, 3000, 300, 300, null);if("GPT-3.5-Turb".equals(model)){// GPT-3.5-Turb模型Message message=Message.builder().role(Message.Role.USER).content(question).build();ChatCompletion chatCompletion = ChatCompletion.builder().messages(Arrays.asList(message)).build();List<ChatChoice> resultList = openAiClient.chatCompletion(chatCompletion).getChoices();for (int i = 0; i < resultList.size(); i++) {result.append(resultList.get(i).getMessage().getContent());}}else{//text-davinci-003/text-ada-003Completion completion = Completion.builder().prompt(question).model(model).maxTokens(2000).temperature(0).echo(false).build();Choice[] resultList = openAiClient.completions(completion).getChoices();for (Choice choice : resultList) {result.append(choice.getText());}}}catch (Exception e) {System.out.println(e.getMessage());result.append("小爱还不太懂，回去一定努力学习补充知识");}redisUtils.set(uuid,result.toString());}
}

4.开发项目Controller类，用来与前端进行交互

package com.xyh.mychatgpt.controller;
import cn.hutool.core.thread.ThreadUtil;
import cn.hutool.core.util.IdUtil;
import cn.hutool.core.util.StrUtil;
import com.xyh.mychatgpt.utils.ChatGPTUtils;
import com.xyh.mychatgpt.utils.R;
import com.xyh.mychatgpt.utils.RedisUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.servlet.http.HttpServletRequest;
/*** @author xiangyuanhong* @description: TODO* @date 2023/2/28下午4:57*/
@RestController
public class IndexController {@Autowiredprivate RedisUtils redisUtils;@Autowiredprivate ChatGPTUtils chatGPTUtils;@GetMapping("/ask")public R ask(String question,HttpServletRequest request) {String uuid=IdUtil.simpleUUID();if (StrUtil.isBlank(question)) {question = "今天天气怎么样？";}String finalQuestion = question;ThreadUtil.execAsync(()->{chatGPTUtils.ask("GPT-3.5-Turb", finalQuestion,uuid);});return R.ok().put("data",uuid);}@GetMapping("/answer")public R answer(String uuid){String result=redisUtils.get(uuid);return R.ok().put("data",result);}
}

5.前端页面开发，在项目templates目录创建index.html页面，并引入chatUI pro相关文件

<!DOCTYPE html>
<html lang="zh-CN">
<head><meta name="renderer" content="webkit" /><meta name="force-rendering" content="webkit" /><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" /><meta charset="UTF-8" /><meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=0, minimum-scale=1.0, maximum-scale=1.0, viewport-fit=cover" /><title>滴答小爱</title><link rel="stylesheet" href="//g.alicdn.com/chatui/sdk-v2/0.2.4/sdk.css">
</head>
<body>
<div id="root"></div>
<script src="//g.alicdn.com/chatui/sdk-v2/0.2.4/sdk.js"></script>
<script src="//g.alicdn.com/chatui/extensions/0.0.7/isv-parser.js"></script>
<script src="js/setup.js"></script>
<script src="js/jquery-3.6.3.min.js"></script>
<script src="//g.alicdn.com/chatui/icons/0.3.0/index.js" async></script>
</body>
</html>

6.创建setup.js实现chatUI Pro与后端通信交换。

var bot = new ChatSDK({config: {// navbar: {//     title: '滴答小爱'// },robot: {avatar: 'images/chat.png'},// 用户头像user: {avatar: 'images/user.png',},// 首屏消息messages: [{type: 'text',content: {text: '您好，小爱为您服务，请问有什么可以帮您的？'}}],// 快捷短语// quickReplies: [//     { name: '健康码颜色',isHighlight:true },//     { name: '入浙通行申报' },//     { name: '健康码是否可截图使用' },//     { name: '健康通行码适用范围' },// ],// 输入框占位符placeholder: '输入任何您想询问的问题',},requests: {send: function (msg) {if (msg.type === 'text') {return {url: '/ask',data: {question: msg.content.text}};}}},handlers: {/**** 解析请求返回的数据* @param {object} res - 请求返回的数据* @param {object} requestType - 请求类型* @return {array}*/parseResponse: function (res, requestType) {// 根据 requestType 处理数据if (requestType === 'send' && res.code==0) {// 用 isv 消息解析器处理数据$.ajaxSettings.async=false;var answer="";var isOK=false;while(!isOK){$.get("/answer",{uuid:res.data},function(result){console.log(result.data)if(null != result.data){isOK=true;answer=result.data;}},"json");if(!isOK){sleep(5000);}}$.ajaxSettings.async=true;return [{"_id":res.data,type:"text",content:{text:answer},position:"left"}];}},},
});
function sleep(n) { //n表示的毫秒数var start = new Date().getTime();while (true) {if (new Date().getTime() - start > n) {break;}}
}
bot.run();

7.项目搭建完成后启动springboot项目然后访问http://ip:端口就可以。项目最终效果：http://hyrun.vip/

四、项目展示