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