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;
@Autowired
private 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-003
Completion 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 {
@Autowired
private RedisUtils redisUtils;
@Autowired
private 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
