本文小编为大家详细介绍“怎么使用springboot+chatgpt+chatUI Pro开发智能聊天工具”,内容详细,步骤清晰,细节处理妥当,希望这篇“怎么使用springboot+chatgpt+chatUI Pro开发智能聊天工具”文章能帮助大家解决疑惑,下面跟着小编的思路慢慢深入,一起来学习新知识吧。
一、技术介绍
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。
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。
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
创建springboot项目,项目命名mychatgpt。
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>
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;@Componentpublic 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()); }}
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;@RestControllerpublic 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); }}
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" rel="external nofollow" ></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>
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: { 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();
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
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