语音AI分片以及流式处理返回结果

This commit is contained in:
2025-10-16 14:27:20 +08:00
parent 1c816402df
commit a5777d7beb
6 changed files with 285 additions and 56 deletions

View File

@@ -1,7 +1,10 @@
package com.vetti.socket;
import cn.hutool.core.util.StrUtil;
import cn.hutool.json.JSONUtil;
import com.vetti.common.ai.elevenLabs.ElevenLabsClient;
import com.vetti.common.ai.gpt.ChatGPTClient;
import com.vetti.common.ai.gpt.OpenAiStreamClient;
import com.vetti.common.ai.gpt.service.OpenAiStreamListenerService;
import com.vetti.common.ai.whisper.WhisperClient;
import com.vetti.common.config.RuoYiConfig;
import com.vetti.common.utils.spring.SpringUtils;
@@ -15,9 +18,10 @@ import javax.websocket.server.ServerEndpoint;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.RandomAccessFile;
import java.nio.ByteBuffer;
import java.nio.channels.FileChannel;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
/**
* 语音面试 web处理器
@@ -27,6 +31,11 @@ import java.nio.channels.FileChannel;
@Component
public class ChatWebSocketHandler {
/**
* 缓存客户端流式解析的语音文本数据
*/
private final Map<String,String> cacheClientTts = new ConcurrentHashMap<>();
// 语音文件保存目录
private static final String VOICE_STORAGE_DIR = "/voice_files/";
@@ -51,73 +60,109 @@ public class ChatWebSocketHandler {
@OnOpen
public void onOpen(Session session, @PathParam("clientId") String clientId) {
log.info("WebSocket 链接已建立:{}", clientId);
//创建会话
cacheClientTts.put(clientId,new String());
}
// 接收文本消息
@OnMessage
public void onTextMessage(Session session, String message) {
public void onTextMessage(Session session, String message,@PathParam("clientId") String clientId) {
System.out.println("接收到文本消息: " + message);
// 可以在这里处理文本流数据
try {
// 发送响应
session.getBasicRemote().sendText("已收到文本: " + message);
//处理文本结果
if(StrUtil.isNotEmpty(message)){
Map<String,String> mapResult = JSONUtil.toBean(JSONUtil.parseObj(message),Map.class);
String resultFlag = mapResult.get("msg");
if("done".equals(resultFlag)){
//语音结束,开始进行回答解析
String cacheResultText = cacheClientTts.get(clientId);
log.info("1、开始进行AI回答时间:{}",System.currentTimeMillis()/1000);
//把提问的文字发送给CPT(流式处理)
OpenAiStreamClient aiStreamClient = SpringUtils.getBean(OpenAiStreamClient.class);
aiStreamClient.streamChat(cacheResultText, new OpenAiStreamListenerService() {
@Override
public void onMessage(String content) {
// 实时输出内容
//开始进行语音输出-流式持续输出
log.info("2、开始进行AI回答时间:{}",System.currentTimeMillis()/1000);
//把结果文字转成语音文件
//生成文件
// 生成唯一文件名
String resultFileName = clientId + "_" + System.currentTimeMillis() + ".opus";
String resultPathUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_RESULT_DIR + resultFileName;
ElevenLabsClient elevenLabsClient = SpringUtils.getBean(ElevenLabsClient.class);
elevenLabsClient.handleTextToVoice(content, resultPathUrl);
log.info("3、开始进行AI回答时间:{}",System.currentTimeMillis()/1000);
//持续返回数据流给客户端
try {
//文件转换成文件流
ByteBuffer outByteBuffer = convertFileToByteBuffer(resultPathUrl);
//发送文件流数据
session.getBasicRemote().sendBinary(outByteBuffer);
// 发送响应确认
log.info("4、开始进行AI回答时间:{}",System.currentTimeMillis()/1000);
} catch (IOException e) {
e.printStackTrace();
}
}
@Override
public void onComplete() {
try {
Map<String,String> resultEntity = new HashMap<>();
resultEntity.put("msg","done");
//发送通知告诉客户端已经回答结束了
session.getBasicRemote().sendText(JSONUtil.toJsonStr(resultEntity));
} catch (Exception e) {
throw new RuntimeException(e);
}
log.info("5、结束进行AI回答时间:{}",System.currentTimeMillis()/1000);
}
@Override
public void onError(Throwable throwable) {
throwable.printStackTrace();
}
});
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
// 接收二进制消息(流数据)
@OnMessage
public void onBinaryMessage(Session session, @PathParam("clientId") String clientId, ByteBuffer byteBuffer) {
try {
log.info("1、运行时间:{}",System.currentTimeMillis()/1000);
log.info("1、开始接收数据流时间:{}",System.currentTimeMillis()/1000);
log.info("客户端ID为:{}", clientId);
// 处理二进制流数据
byte[] bytes = new byte[byteBuffer.remaining()];
//从缓冲区中读取数据并存储到指定的字节数组中
byteBuffer.get(bytes);
log.info("2、运行时间:{}",System.currentTimeMillis()/1000);
log.info("2、开始接收数据流时间:{}",System.currentTimeMillis()/1000);
// 生成唯一文件名
String fileName = clientId + "_" + System.currentTimeMillis() + ".webm";
String pathUrl = RuoYiConfig.getProfile()+VOICE_STORAGE_DIR + fileName;
// String pathUrl = "/Users/wangxiangshun/Desktop/0.8733346782733291.webm";
log.info("文件路径为:{}", pathUrl);
saveAsWebM(bytes, pathUrl);
log.info("3、运行时间:{}",System.currentTimeMillis()/1000);
log.info("3、开始接收数据流时间:{}",System.currentTimeMillis()/1000);
try{
//接收到数据流后直接就进行SST处理
//拿到文件进行文字转换
WhisperClient whisperClient = SpringUtils.getBean(WhisperClient.class);
String resultText = whisperClient.handleVoiceToText(pathUrl);
log.info("4、运行时间:{}",System.currentTimeMillis()/1000);
//把提问的文字发送给CPT
ChatGPTClient chatGPTClient = SpringUtils.getBean(ChatGPTClient.class);
String resultMsg = chatGPTClient.handleAiChat(resultText);
log.info("5、运行时间:{}",System.currentTimeMillis()/1000);
//把结果文字转成语音文件
//生成文件
// 生成唯一文件名
String resultFileName = clientId + "_" + System.currentTimeMillis() + ".opus";
String resultPathUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_RESULT_DIR + resultFileName;
ElevenLabsClient elevenLabsClient = SpringUtils.getBean(ElevenLabsClient.class);
elevenLabsClient.handleTextToVoice(resultMsg, resultPathUrl);
log.info("6、运行时间:{}",System.currentTimeMillis()/1000);
//把语音文件转换成流,发送给前端
System.out.println("接收到二进制数据,长度: " + bytes.length + " bytes");
try {
//文件转换成文件流
ByteBuffer outByteBuffer = convertFileToByteBuffer(resultPathUrl);
//发送文件流数据
session.getBasicRemote().sendBinary(outByteBuffer);
// 发送响应确认
// session.getBasicRemote().sendText("已收到二进制数据,长度: " + bytes.length);
log.info("7、运行时间:{}",System.currentTimeMillis()/1000);
} catch (IOException e) {
e.printStackTrace();
String resultText = whisperClient.transcribeAudio(bytes,fileName);
//进行客户端文本数据存储
String cacheString = cacheClientTts.get(clientId);
if(StrUtil.isNotEmpty(cacheString)){
cacheString = cacheString+resultText;
}else {
cacheString = resultText;
}
cacheClientTts.put(clientId,cacheString);
}catch (Exception e){
e.printStackTrace();
}
log.info("4、开始接收数据流时间:{}",System.currentTimeMillis()/1000);
}
// 连接关闭时调用

View File

@@ -146,7 +146,7 @@ verification:
elevenLabs:
baseUrl: https://api.elevenlabs.io/v1
apiKey: sk_5240d8f56cb1eb5225fffcf903f62479884d1af5b3de6812
modelId: eleven_turbo_v2.5
modelId: eleven_turbo_v2_5
# 语音转文本
whisper:
apiUrl: https://api.openai.com/v1/audio/transcriptions

View File

@@ -106,8 +106,7 @@ public class ElevenLabsClient {
VoicesResponse voicesResponse = getVoices(httpClient);
if (voicesResponse != null && voicesResponse.getVoices() != null
&& voicesResponse.getVoices().length > 0) {
// 使用第一个可用语音进行文本转语音
// String firstVoiceId = voicesResponse.getVoices()[0].getVoice_id();
// 使用第一个可用语音进行文本转语音(澳洲本地女声)
String firstVoiceId = "21m00Tcm4TlvDq8ikWAM";
textToSpeech(inputText, firstVoiceId, outputFile,httpClient);
}

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@@ -0,0 +1,121 @@
package com.vetti.common.ai.gpt;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import com.vetti.common.ai.gpt.service.OpenAiStreamListenerService;
import okhttp3.*;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* AI ChatGPT 对话
*/
@Component
public class OpenAiStreamClient {
@Value("${chatGpt.apiKey}")
private String apiKey;
// API端点URL
@Value("${chatGpt.apiUrl}")
private String apiUrl;
@Value("${chatGpt.model}")
private String model;
@Value("${chatGpt.role}")
private String role;
/**
* 发送流式请求
*
* @param prompt 提示词
* @param listener 流式响应监听器
*/
public void streamChat(String prompt, OpenAiStreamListenerService listener) {
OkHttpClient client = new OkHttpClient.Builder()
.connectTimeout(30, TimeUnit.SECONDS)
.readTimeout(60, TimeUnit.SECONDS)
.writeTimeout(30, TimeUnit.SECONDS)
.build();
// 构建请求参数
Map<String, Object> requestBody = new HashMap<>();
requestBody.put("model", model);
requestBody.put("stream", true);
// 构建消息
Map<String, String> message = new HashMap<>();
message.put("role", role);
message.put("content", prompt);
requestBody.put("messages", new Object[]{message});
// 创建请求
Request request = new Request.Builder()
.url(apiUrl)
.addHeader("Content-Type", "application/json")
.addHeader("Authorization", "Bearer " + apiKey)
.post(RequestBody.create(JSONUtil.toJsonStr(requestBody),
MediaType.parse("application/json; charset=utf-8")
))
.build();
// 发送异步请求
client.newCall(request).enqueue(new Callback() {
@Override
public void onFailure(Call call, IOException e) {
listener.onError(e);
}
@Override
public void onResponse(Call call, Response response) throws IOException {
if (!response.isSuccessful()) {
listener.onError(new IOException("Unexpected code " + response));
return;
}
// 处理流式响应
ResponseBody body = response.body();
if (body == null) {
listener.onError(new IOException("Response body is null"));
return;
}
try (var source = body.source()) {
// 逐行读取响应
while (!source.exhausted()) {
String line = source.readUtf8Line();
if (line == null || line.isEmpty()) continue;
// 处理SSE格式去除"data: "前缀)
if (line.startsWith("data: ")) {
String data = line.substring(6).trim();
// 检查是否为结束标记
if (data.equals("[DONE]")) {
listener.onComplete();
break;
}
// 解析JSON获取内容
try {
JSONObject json = JSONUtil.parseObj(data);
String content = json.getJSONArray("choices")
.getJSONObject(0)
.getJSONObject("delta")
.getStr("content");
if (content != null && !content.isEmpty()) {
listener.onMessage(content);
}
} catch (Exception e) {
listener.onError(new IOException("Parse error: " + e.getMessage()));
}
}
}
} finally {
response.close();
}
}
});
}
}

View File

@@ -0,0 +1,25 @@
package com.vetti.common.ai.gpt.service;
/**
* AI 流式响应监听器 服务层
*/
public interface OpenAiStreamListenerService {
/**
* 返回信息
* @param content
*/
public void onMessage(String content);
/**
* 返回完成通知
*/
public void onComplete();
/**
* 异常信息通知
* @param throwable
*/
public void onError(Throwable throwable);
}

View File

@@ -1,7 +1,6 @@
package com.vetti.common.ai.whisper;
import cn.hutool.core.util.StrUtil;
import cn.hutool.json.JSONObject;
import cn.hutool.json.JSONUtil;
import okhttp3.*;
import org.springframework.beans.factory.annotation.Value;
@@ -11,6 +10,7 @@ import java.io.File;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
/**
* 语音转换文本
@@ -75,6 +75,45 @@ public class WhisperClient {
}
}
/**
* 将音频文件转换为文本
* @param bytes 语音流
* @param fileName 文件名
* @return
* @throws Exception
*/
public String transcribeAudio(byte[] bytes, String fileName) throws Exception {
OkHttpClient client = new OkHttpClient.Builder()
.connectTimeout(60, TimeUnit.SECONDS)
.readTimeout(60, TimeUnit.SECONDS)
.writeTimeout(60, TimeUnit.SECONDS)
.build();
// 构建请求体,包含音频流
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("model", MODEL)
.addFormDataPart(
"file",
fileName,
RequestBody.create(MediaType.parse("audio/opus"), bytes)
)
.addFormDataPart("response_format", "json")
.build();
Request request = new Request.Builder()
.url(API_URL)
.header("Authorization", "Bearer " + API_URL)
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
if (!response.isSuccessful()) {
throw new IOException("Unexpected response: " + response);
}
return response.body().string();
}
}
/**
* 处理语音转换成文字
*