STT流式输入业务逻辑处理

vetti-admin/src/main/java/com/vetti/socket/ChatWebSocketHandler.java

@@ -114,6 +114,11 @@ public class ChatWebSocketHandler {
                 Map<String,String> mapResult = JSONUtil.toBean(JSONUtil.parseObj(message),Map.class);
                 String resultFlag = mapResult.get("msg");
                 if("done".equals(resultFlag)){
+                    //发送消息
+                    WebSocket webSocket = cacheWebSocket.get(clientId);
+                    if(webSocket != null){
+                        webSocket.close(1000,null);
+                    }
                     //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);
@@ -192,6 +197,8 @@ public class ChatWebSocketHandler {
             //发送消息
             WebSocket webSocket = cacheWebSocket.get(clientId);
             if(webSocket != null){
+                // 1. 启动音频缓冲
+                webSocket.send("{\"type\": \"input_audio_buffer.start\"}");
                 log.info("3.1 开始发送数据音频流啦");
                 // 将音频数据转换为 Base64 编码的字符串
                 String base64Audio = Base64.getEncoder().encodeToString(bytes);
@@ -318,8 +325,6 @@ public class ChatWebSocketHandler {
                     config.put("type", "transcription_session.update");
                     config.put("session", sessionConfig);
                     webSocket.send(config.toString());
-                    // 1. 启动音频缓冲
-                    webSocket.send("{\"type\": \"input_audio_buffer.start\"}");
                     //存储客户端webSocket对象,对数据进行隔离处理
                     cacheWebSocket.put(clientId,webSocket);
                 }