Spring Ai入门

        SpringAI是一个AI工程应用框架，旨在将Spring生态系统的设计原则（如可移植性和模块化设计）应用于AI领域。它推广使用Plain Old Java Object（POJO）作为AI应用程序的构建块，从而为Java开发者提供了一种更简洁的方式与人工智能进行交互。SpringAI的推出被认为是Java开发领域的一大福音，因为它结合了Spring生态系统的设计原则和模块化的概念，降低了接入大型语言模型（LLM）的学习成本。

下面演示如何基于springBoot和OpenAi接口实现ChatGPT：

1、创建Spring Ai工程

2、添加api配置

spring:application:name: spring-ai-chatgptai:openai:api-key: xxxxxxxxxxxxxxxxxxxxxx(自己的api-key)base-url: xxxxxxxxxxxxxxxxxxxxxx(自己的中转地址)

3、在controller里调用api

（1）使用chatClient

@Autowiredprivate ChatClient chatClient;//chatclient@GetMapping("/chat")public String chat(@RequestParam("message") String message) {return this.chatClient.prompt().user(message).call().content();}//chatclient流式访问@GetMapping(value = "/stream", produces = "text/html;charset=UTF-8")public Flux<String> chatStream(@RequestParam("message") String message) {Flux<String> output = chatClient.prompt().user(message).stream().content();return output;}

@Configuration
public class AIConfig {@BeanChatClient chatClient(ChatClient.Builder builder) {return builder.defaultSystem("You are a friendly chat bot that answers question in the voice of a Pirate").build();}
}

（2）使用chatModel

@Autowiredprivate ChatModel chatModel;//ChatModel@GetMapping(value = "/chat/model", produces = "text/html;charset=UTF-8")public String chatModel(@RequestParam("message") String message) {ChatResponse response = chatModel.call(new Prompt(message,OpenAiChatOptions.builder().withModel("gpt-4-32k").withTemperature(0.8F).build()));return response.getResult().getOutput().getContent();}

（3）文生图

@Autowiredprivate OpenAiImageModel openAiImageModel;//文生图@GetMapping(value = "/text2Img", produces = "text/html;charset=UTF-8")public String text2Img(@RequestParam("message") String message) {ImageResponse response = openAiImageModel.call(new ImagePrompt(message,OpenAiImageOptions.builder().withQuality("hd").withN(1).withHeight(1024).withWidth(1024).build()));return response.getResult().getOutput().getUrl();}

（4）文生语音

@Autowiredprivate OpenAiAudioSpeechModel openAiAudioSpeechModel;//文生语音@GetMapping(value = "/text2audio", produces = "text/html;charset=UTF-8")public String text2audit(@RequestParam("message") String message) {OpenAiAudioSpeechOptions speechOptions = OpenAiAudioSpeechOptions.builder().withModel("tts-1").withVoice(OpenAiAudioApi.SpeechRequest.Voice.ALLOY).withResponseFormat(OpenAiAudioApi.SpeechRequest.AudioResponseFormat.MP3).withSpeed(1.0f).build();SpeechPrompt speechPrompt = new SpeechPrompt("大家下午好，我叫王大锤", speechOptions);SpeechResponse response = openAiAudioSpeechModel.call(speechPrompt);byte[] body = response.getResult().getOutput();//将byte[]存为MP3文件try {writeByteArrayToMp3(body, System.getProperty("user.dir"));} catch (IOException e) {throw new RuntimeException(e);}return "ok";}public static void writeByteArrayToMp3(byte[] audioBytes, String outputFilePath) throws IOException {//创建FileOutputStream实例FileOutputStream fos = new FileOutputStream(outputFilePath + "/yuyin.mp3");//将字节数组写入文件fos.write(audioBytes);//关闭文件输入流fos.close();}

（5）语音转文本

@Autowiredprivate OpenAiAudioTranscriptionModel openAiAudioTranscriptionModel;//语音转文本@GetMapping(value = "/text2audio", produces = "text/html;charset=UTF-8")public String audio2text(@RequestParam("message") String message) {OpenAiAudioApi.TranscriptResponseFormat responseFormat = OpenAiAudioApi.TranscriptResponseFormat.VTT;OpenAiAudioTranscriptionOptions transcriptionOptions = OpenAiAudioTranscriptionOptions.builder().withResponseFormat(OpenAiAudioApi.TranscriptResponseFormat.TEXT).withTemperature(0f).withResponseFormat(responseFormat).build();var audioFile = new ClassPathResource("/hello.mp3");AudioTranscriptionPrompt transcriptionRequest = new AudioTranscriptionPrompt(audioFile, transcriptionOptions);AudioTranscriptionResponse response = openAiAudioTranscriptionModel.call(transcriptionRequest);return response.getResult().getOutput();}

（6）多模态

@GetMapping("/mutil")public String mutilModel(@RequestParam(value = "message", defaultValue = "你从这个图片中看到了什么呢") String message) throws IOException {// 图片的二进制流byte[] imageData = new ClassPathResource("/test.png").getContentAsByteArray();var userMessage = new UserMessage(message,List.of(new Media(MimeTypeUtils.IMAGE_PNG, imageData))); //mediaOpenAiChatOptions aiChatOptions = OpenAiChatOptions.builder().withModel(OpenAiApi.ChatModel.GPT_4_TURBO_PREVIEW.getValue()).build();ChatResponse response = chatModel.call(new Prompt(userMessage, aiChatOptions));return response.getResult().getOutput().getContent();}