2024版本idea集成SpringBoot + Ai 手写一个chatgpt 【推荐】

题目：SpringBoot + OpenAi 代码获取

在这里获取key和url：获取免费key

base-url为这两个：

话不多说直接来！

一、简介

Spring AI 是 AI 工程的应用框架。其目标是将 Spring 生态系统设计原则（如可移植性和模块化设计）应用于 AI，并推广使用 POJO 作为 AI 领域应用程序的构建块。

跨 AI 提供商的可移植 API 支持，适用于聊天、文本到图像和嵌入模型。支持同步和流 API 选项。还支持下拉以访问特定于模型的功能

二、Ai聊天程序代码

1、 创建项目工程

• 在父工程下面创建新的模块

• 勾选上依赖然后创建

• 具体的依赖如下

<?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>3.2.4</version><relativePath/><!-- lookup parent from repository --></parent><!--Generated by https://start.springboot.io --><!-- 优质的 spring/boot/data/security/cloud 框架中文文档尽在 => https://springdoc.cn --><groupId>com.ysl</groupId><artifactId>SpringAi</artifactId><version>0.0.1-SNAPSHOT</version><packaging>pom</packaging><name>SpringAi</name><description>SpringAi</description><modules><module>spring-ai-01-chat</module></modules><properties><java.version>17</java.version><!--        快照版本--><spring-ai.version>1.0.0-SNAPSHOT</spring-ai.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-openai-spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-devtools</artifactId><scope>runtime</scope><optional>true</optional></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency></dependencies><!--    相当于继承一个父项目：spring-ai-bom--><dependencyManagement><dependencies><dependency><groupId>org.springframework.ai</groupId><artifactId>spring-ai-bom</artifactId><version>${spring-ai.version}</version><type>pom</type><scope>import</scope></dependency></dependencies></dependencyManagement><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId><configuration><image><builder>paketobuildpacks/builder-jammy-base:latest</builder></image><excludes><exclude><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId></exclude></excludes></configuration></plugin></plugins></build><!--~配置本项目的仓库：因maven中心仓库还设有更新spring ai的jar包--><repositories><repository><!--            里程碑版本releases的仓库，改成快照版本的snapshot--><id>spring-snapshot</id><name>SpringSnapshots</name><url>https://repo.spring.io/snapshot</url><releases><enabled>false</enabled></releases></repository></repositories></project>

• 编写yml配置

• openai有自动配置类OpenAiAutoConfiguration 其中有聊天客户端，图片客户端…等（看下面源码）

//聊天客户端@Bean@ConditionalOnMissingBean@ConditionalOnProperty(prefix =OpenAiChatProperties.CONFIG_PREFIX, name ="enabled", havingValue ="true",
            matchIfMissing =true)publicOpenAiChatClientopenAiChatClient(OpenAiConnectionProperties commonProperties,OpenAiChatProperties chatProperties,RestClient.Builder restClientBuilder,List<FunctionCallback> toolFunctionCallbacks,FunctionCallbackContext functionCallbackContext,RetryTemplate retryTemplate,ResponseErrorHandler responseErrorHandler){var openAiApi =openAiApi(chatProperties.getBaseUrl(), commonProperties.getBaseUrl(),
                chatProperties.getApiKey(), commonProperties.getApiKey(), restClientBuilder, responseErrorHandler);if(!CollectionUtils.isEmpty(toolFunctionCallbacks)){
            chatProperties.getOptions().getFunctionCallbacks().addAll(toolFunctionCallbacks);}returnnewOpenAiChatClient(openAiApi, chatProperties.getOptions(), functionCallbackContext, retryTemplate);}

//图片客户端@Bean@ConditionalOnMissingBean@ConditionalOnProperty(prefix =OpenAiImageProperties.CONFIG_PREFIX, name ="enabled", havingValue ="true",
            matchIfMissing =true)publicOpenAiImageClientopenAiImageClient(OpenAiConnectionProperties commonProperties,OpenAiImageProperties imageProperties,RestClient.Builder restClientBuilder,RetryTemplate retryTemplate,ResponseErrorHandler responseErrorHandler){String apiKey =StringUtils.hasText(imageProperties.getApiKey())? imageProperties.getApiKey(): commonProperties.getApiKey();String baseUrl =StringUtils.hasText(imageProperties.getBaseUrl())? imageProperties.getBaseUrl(): commonProperties.getBaseUrl();Assert.hasText(apiKey,"OpenAI API key must be set");Assert.hasText(baseUrl,"OpenAI base URL must be set");var openAiImageApi =newOpenAiImageApi(baseUrl, apiKey, restClientBuilder, responseErrorHandler);returnnewOpenAiImageClient(openAiImageApi, imageProperties.getOptions(), retryTemplate);}

二、一个简单的示例

1、直接写一个Controller层就可以

packagecom.ysl.controller;importjakarta.annotation.Resource;importorg.springframework.ai.chat.ChatResponse;importorg.springframework.ai.chat.prompt.Prompt;importorg.springframework.ai.openai.OpenAiChatClient;importorg.springframework.ai.openai.OpenAiChatOptions;importorg.springframework.web.bind.annotation.RequestMapping;importorg.springframework.web.bind.annotation.RequestParam;importorg.springframework.web.bind.annotation.RestController;importreactor.core.publisher.Flux;/**
* @Author Ysl
* @Date 2024/5/11
* @name SpringAi
**/@RestControllerpublicclassChatController{/**
     * OpenAi自动装配，可以直接注入使用
     */@ResourceprivateOpenAiChatClient openAiChatClient;/**
     * 调用OpenAi的接口,call方法为同步的api
     * @param msg 你要问的问题
     * @return
     */@RequestMapping("/ai/chat")publicStringchat(@RequestParam("msg")String msg){String call = openAiChatClient.call(msg);return call;}/**
     * 调用OpenAi的接口
     * @param msg 你要问的问题
     * @return  Object--json对象
     */@RequestMapping("/ai/chat1")publicObjectchat1(@RequestParam("msg")String msg){ChatResponse response = openAiChatClient.call(newPrompt(msg));return response;//        return response.getResult().getOutput().getContent();//只拿到内容}/**
     * 调用OpenAi的接口
     * @param msg 你要问的问题
     * @return
     */@RequestMapping("/ai/chat3")publicStringchat3(@RequestParam("msg")String msg){//可选参数在yml配置，同时在代码中也配置，那么会以代码为准ChatResponse response = openAiChatClient.call(newPrompt(msg,OpenAiChatOptions.builder()//                .withModel("gpt-4")//使用的模型.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快.build()));return response.getResult().getOutput().getContent();}/**
     * 调用OpenAi的接口 stream是流式的api
     * @param msg 你要问的问题
     * @return
     */@RequestMapping("/ai/chat4")publicObjectchat4(@RequestParam("msg")String msg){//可选参数在yml配置，同时在代码中也配置，那么会以代码为准Flux<ChatResponse> flux = openAiChatClient.stream(newPrompt(msg,OpenAiChatOptions.builder()//                .withModel("gpt-3.5")//使用的模型.withTemperature(0.3F)//温度越高回答越慢，温度越低回答越快.build()));
        flux.toStream().forEach(chatResponse ->{System.out.println(chatResponse.getResult().getOutput().getContent());});return flux.collectList();//数据的序列}}

2、直接在浏览器访问

• http://localhost:8080/ai/chat?msg=24年经济形势
• http://localhost:8080/ai/chat1?msg=24年经济形势
• http://localhost:8080/ai/chat3?msg=java怎么学 OpenAi聊天客户端就写到这里，接下来是图片客户端。

三、Ai画图程序代码

首先需要确保你的key支持绘图可以使用DALL·E 模型
1、创建一个子项目（pom文件的依赖和第一个项目一样即可）

2、编写yml配置文件

3、编写controller层

importjakarta.annotation.Resource;importorg.springframework.ai.image.ImagePrompt;importorg.springframework.ai.image.ImageResponse;importorg.springframework.ai.openai.OpenAiImageClient;importorg.springframework.ai.openai.OpenAiImageOptions;importorg.springframework.web.bind.annotation.RequestMapping;importorg.springframework.web.bind.annotation.RequestParam;importorg.springframework.web.bind.annotation.RestController;/**
 * @Author Ysl
 * @Date 2024/5/12
 * @name SpringAi
 **/@RestControllerpublicclassImageController{@ResourceprivateOpenAiImageClient openAiImageClient;@RequestMapping("/ai/image")publicObjectimage(@RequestParam("msg")String msg){ImageResponse imageResponse = openAiImageClient.call(newImagePrompt(msg));//        对图片进行业务处理(拿到图片的链接)String url = imageResponse.getResult().getOutput().getUrl();return imageResponse.getResult().getOutput();}@RequestMapping("/ai/image2")publicObjectimage2(@RequestParam("msg")String msg){//第二个参数是传递图片的参数，同样可在yml里配置ImageResponse imageResponse = openAiImageClient.call(newImagePrompt(msg,OpenAiImageOptions.builder().withQuality("hd")//高清.withN(1)//生成1张，可填数字1-10.withHeight(1024)//高度.withWidth(1024)//宽度.build()));//        对图片进行业务处理(拿到图片的链接)String url = imageResponse.getResult().getOutput().getUrl();return imageResponse.getResult().getOutput();}}

3、访问链接

• http://localhost:8080/ai/image?msg=画一只蝴蝶
• http://localhost:8080/ai/image2?msg=画一只蝴蝶

4、结果：

打开链接

Ai画图就讲到这里，下面是音频翻译

四、Ai音频翻译代码

首先确保你的key可以使用whisper 模型
1、创建子项目编写配置文件

2、用到的工具类：将bytes[ ]字节数组写入新建的文件中

importjava.io.*;/**
 * @Author Ysl
 * @Date 2024/5/12
 * @name SpringAi
 **/publicclass save2File {/**
     * 方法功能：将字节数组写入到新建文件中。
     * @param  fname
     * @param  msg
     * @return boolean
     * */publicstaticbooleansave2File(String fname,byte[] msg){OutputStream fos =null;try{File file =newFile(fname);File parent = file.getParentFile();boolean bool;if((!parent.exists())&&(!parent.mkdirs())){returnfalse;}
            fos =newFileOutputStream(file);
            fos.write(msg);
            fos.flush();returntrue;}catch(FileNotFoundException e){returnfalse;}catch(IOException e){File parent;returnfalse;}finally{if(fos !=null){try{
                    fos.close();}catch(IOException e){}}}}}

2、编写controller层

importjakarta.annotation.Resource;importorg.springframework.ai.openai.OpenAiAudioSpeechClient;importorg.springframework.ai.openai.OpenAiAudioTranscriptionClient;importorg.springframework.core.io.ClassPathResource;importorg.springframework.web.bind.annotation.RequestMapping;importorg.springframework.web.bind.annotation.RestController;importstaticcom.ysl.utisl.save2File.save2File;/**
 * @Author Ysl
 * @Date 2024/5/12
 * @name SpringAi
 **/@RestControllerpublicclassTranscriptionController{//将音频转文字时使用@ResourceprivateOpenAiAudioTranscriptionClient transcriptionClient;//将文字转语音时使用@ResourceprivateOpenAiAudioSpeechClient speechClient;/**
     * 将音频转文字
     * @return
     */@RequestMapping("/ai/transcription")publicObjecttranscription(){//读取的是磁盘的路径//FileSystemResource audioFile = new FileSystemResource("C:\\Users\\DELL\\Desktop\\luyin.m4a");//读取的是classpath静态资源下的文件ClassPathResource audioFile =newClassPathResource("luyin.m4a");String call = transcriptionClient.call(audioFile);System.out.println(call);return call;}/**
     * 将文字转音频
     * @return
     */@RequestMapping("/ai/tts")publicObjecttts(){String text ="Spring AI 是 AI 工程的应用框架。其目标是将 Spring 生态系统设计原则（如可移植性和模块化设计）应用于 AI，并推广使用 POJO 作为 AI 领域应用程序的构建块。 跨 AI 提供商的可移植 API 支持，适用于聊天、文本到图像和嵌入模型。支持同步和流 API 选项。还支持下拉以访问特定于模型的功能";byte[] bytes = speechClient.call(text);save2File("C:\\Users\\DELL\\Desktop\\test.mp3",bytes);return"OK";}}

3、访问链接

• 1、 http://localhost:8080/ai/transcription
• 将音频中的话转化为文字显示在页面中
• 2、 http://localhost:8080/ai/tts
• 将text中的文字转为语音后储存在路径C:\Users\DELL\Desktop\test.mp3
• 打开mp3文件即可听到代码中text文本中的内容