diff --git a/vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java b/vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java
index d4f5482..2631a9c 100644
--- a/vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java
+++ b/vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java
@@ -102,7 +102,7 @@ public class ChatWebSocketHandler {
         log.info("WebSocket session 链接已建立:{}", session.getId());
         cacheClientTts.put(clientId, new String());
         //初始化STT流式语音转换文本的socket链接
-        createWhisperRealtimeSocket(session.getId());
+//        createWhisperRealtimeSocket(session.getId());
         //是初次自我介绍后的问答环节
         cacheReplyFlag.put(session.getId(),"YES");
         //初始化面试回答数据记录
@@ -129,22 +129,27 @@ public class ChatWebSocketHandler {
     public void onTextMessage(Session session, String message, @PathParam("clientId") String clientId) {
         System.out.println("接收到文本消息: " + message);
         try {
+//            {
+//                "type": "start | done | end",
+//                    "content": "内容"
+//            }
             //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");
+                String resultFlag = mapResult.get("type");
                 if ("done".equals(resultFlag)) {
                     //开始合并语音流
                     //发送消息
-                    WebSocket webSocket = cacheWebSocket.get(session.getId());
-                    if (webSocket != null) {
-                        webSocket.send("{\"type\": \"input_audio_buffer.commit\"}");
-                        webSocket.send("{\"type\": \"response.create\"}");
-                    }
+//                    WebSocket webSocket = cacheWebSocket.get(session.getId());
+//                    if (webSocket != null) {
+//                        webSocket.send("{\"type\": \"input_audio_buffer.commit\"}");
+//                        webSocket.send("{\"type\": \"response.create\"}");
+//                    }
                     String startFlag = cacheReplyFlag.get(session.getId());
                     //语音结束,开始进行回答解析
                     log.info("开始文本处理,客户端ID为:{}",clientId);
-                    String cacheResultText = cacheClientTts.get(session.getId());
+//                    String cacheResultText = cacheClientTts.get(session.getId());
+                    String cacheResultText = mapResult.get("content");
                     log.info("开始文本处理,面试者回答信息为:{}", cacheResultText);
                     if (StrUtil.isEmpty(cacheResultText)) {
                         cacheResultText = "I first check the forklift's logbook for recent issues, inspect tires and brakes, verify the load capacity matches today's task, and confirm my licence is current—all per SWMS requirements.";
@@ -314,43 +319,43 @@ public class ChatWebSocketHandler {
     // 接收二进制消息（流数据）
     @OnMessage
     public void onBinaryMessage(Session session, @PathParam("clientId") String clientId, ByteBuffer byteBuffer) {
-        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);
-        // 生成唯一文件名
-        String fileName = clientId + "_" + System.currentTimeMillis() + ".wav";
-        String pathUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_DIR + fileName;
-        log.info("文件路径为:{}", pathUrl);
-        try {
-            saveAsWebM(bytes, pathUrl);
-            //接收到数据流后直接就进行SST处理
-            //语音格式转换
-            String fileOutName = clientId + "_" + System.currentTimeMillis() + ".pcm";
-            String pathOutUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_DIR + fileOutName;
-            handleAudioToPCM(pathUrl, pathOutUrl);
-            //发送消息
-            WebSocket webSocket = cacheWebSocket.get(session.getId());
-            log.info("获取的socket对象为:{}", webSocket);
-            if (webSocket != null) {
-//                 1. 启动音频缓冲
-//                webSocket.send("{\"type\": \"input_audio_buffer.start\"}");
-                File outputFile = new File(pathOutUrl);  // 输出PCM格式文件
-                ByteBuffer buffer = ByteBuffer.wrap(FileUtils.readFileToByteArray(outputFile));
-                byte[] outBytes = new byte[buffer.remaining()];
-                //从缓冲区中读取数据并存储到指定的字节数组中
-                buffer.get(outBytes);
-                String base64Audio = Base64.getEncoder().encodeToString(outBytes);
-                String message = "{ \"type\": \"input_audio_buffer.append\", \"audio\": \"" + base64Audio + "\" }";
-                webSocket.send(message);
-                // 3. 提交音频并请求转录
-//                webSocket.send("{\"type\": \"input_audio_buffer.commit\"}");
-//                webSocket.send("{\"type\": \"response.create\"}");
-            }
-        } catch (Exception e) {
-            e.printStackTrace();
-        }
+//        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);
+//        // 生成唯一文件名
+//        String fileName = clientId + "_" + System.currentTimeMillis() + ".wav";
+//        String pathUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_DIR + fileName;
+//        log.info("文件路径为:{}", pathUrl);
+//        try {
+//            saveAsWebM(bytes, pathUrl);
+//            //接收到数据流后直接就进行SST处理
+//            //语音格式转换
+//            String fileOutName = clientId + "_" + System.currentTimeMillis() + ".pcm";
+//            String pathOutUrl = RuoYiConfig.getProfile() + VOICE_STORAGE_DIR + fileOutName;
+//            handleAudioToPCM(pathUrl, pathOutUrl);
+//            //发送消息
+//            WebSocket webSocket = cacheWebSocket.get(session.getId());
+//            log.info("获取的socket对象为:{}", webSocket);
+//            if (webSocket != null) {
+////                 1. 启动音频缓冲
+////                webSocket.send("{\"type\": \"input_audio_buffer.start\"}");
+//                File outputFile = new File(pathOutUrl);  // 输出PCM格式文件
+//                ByteBuffer buffer = ByteBuffer.wrap(FileUtils.readFileToByteArray(outputFile));
+//                byte[] outBytes = new byte[buffer.remaining()];
+//                //从缓冲区中读取数据并存储到指定的字节数组中
+//                buffer.get(outBytes);
+//                String base64Audio = Base64.getEncoder().encodeToString(outBytes);
+//                String message = "{ \"type\": \"input_audio_buffer.append\", \"audio\": \"" + base64Audio + "\" }";
+//                webSocket.send(message);
+//                // 3. 提交音频并请求转录
+////                webSocket.send("{\"type\": \"input_audio_buffer.commit\"}");
+////                webSocket.send("{\"type\": \"response.create\"}");
+//            }
+//        } catch (Exception e) {
+//            e.printStackTrace();
+//        }
 
     }
 
diff --git a/vetti-admin/src/main/resources/application-druid.yml b/vetti-admin/src/main/resources/application-druid.yml
index 3df6826..aa11628 100644
--- a/vetti-admin/src/main/resources/application-druid.yml
+++ b/vetti-admin/src/main/resources/application-druid.yml
@@ -167,7 +167,7 @@ whisper:
 chatGpt:
     apiKey: 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
     apiUrl: https://api.openai.com/v1/chat/completions
-    model: ft:gpt-3.5-turbo-0125:vetti:construction-labourer-test:CTIvLD5n
+    model: ft:gpt-3.5-turbo-0125:vetti:construction-labourer-test:CWKBNvE2
     role: system