mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
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LLM和TTS采用适配器模式进行解耦,方便扩展更多服务平台调用
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@@ -12,7 +12,13 @@
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本项目需要配合esp32硬件设备使用,如果童鞋们已经购买了esp32相关硬件,且成功对接虾哥部署的后端,并且想自己独立搭建
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`xiaozhi-esp32`后端服务,可学习本项目。
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想看使用效果,请猛戳这个视频[小智esp32连接自己的后台模型](https://www.bilibili.com/video/BV1FMFyejExX)
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想看使用效果,请猛戳这个视频
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<a href="https://www.bilibili.com/video/BV1FMFyejExX">
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<picture>
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<img alt="小智esp32连接自己的后台模型" src="docs/images/demo.png" />
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</picture>
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</a>
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要想完整体验本项目,需要以下总体步骤:
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@@ -22,6 +28,10 @@
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- 下载`xiaozhi-esp32`项目,把`接口地址`修改成本项目地址,然后编译,把新固件烧录到硬件设备上。
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- 启动设备,查看电脑或服务器的控制台,如果看到日志,说明成功连到本项目的接口了。
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## 警告
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本项目成立时间较短,还未通过网络安全测评,请勿在生产环境中使用。
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## 功能清单
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## 已实现
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@@ -166,7 +176,7 @@ docker rmi ccr.ccs.tencentyun.com/xinnan/xiaozhi-esp32-server:latest
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### 1.安装基础环境
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本项目使用`conda`管理依赖环境,安装好后开始执行以下命令。
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本项目使用`conda`管理依赖环境,安装好后,开始执行以下命令。
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```
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conda remove -n xiaozhi-esp32-server --all -y
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@@ -174,7 +184,7 @@ conda create -n xiaozhi-esp32-server python=3.10 -y
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conda activate xiaozhi-esp32-server
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```
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如果你的电脑是windows,执行:
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执行以上命令后, 如果你的电脑是Windows或Mac,执行下面的语句:
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```
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conda activate xiaozhi-esp32-server
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@@ -182,7 +192,7 @@ conda install conda-forge::libopus
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conda install conda-forge::ffmpeg
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```
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如果你的电脑是ubuntu,执行:
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如果你的电脑是ubuntu,执行下面的语句:
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```
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apt-get install libopus0 ffmpeg
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+17
-7
@@ -14,8 +14,13 @@ This project requires compatible esp32 hardware devices. If you have purchased e
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Xiage's deployed backend, and wish to independently set up the `xiaozhi-esp32` backend service, this project is for
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you.
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To see a demo, watch this
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video: [Xiaozhi ESP32 Connecting to Custom Backend Model](https://www.bilibili.com/video/BV1FMFyejExX)
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To see a demo, watch this video:
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<a href="https://www.bilibili.com/video/BV1FMFyejExX">
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<picture>
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<img alt="小智esp32连接自己的后台模型" src="docs/images/demo.png" />
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</picture>
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</a>
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To fully experience this project, follow these steps:
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@@ -27,6 +32,11 @@ To fully experience this project, follow these steps:
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firmware to your device.
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- Start the device and check your server console logs to verify successful connection.
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## Warning
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This project has been established for a short time and has not passed the network security assessment, so please do not
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use it in the production environment.
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## Feature List
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## Implemented
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@@ -64,7 +74,8 @@ is recommended to run the local source code.
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## Method 1: Quick deployment of docker
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The docker image has supported the CPU of x86 architecture and arm64 architecture, and supports running on Chinese operating systems.
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The docker image has supported the CPU of x86 architecture and arm64 architecture, and supports running on Chinese
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operating systems.
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1. Install docker
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@@ -174,8 +185,7 @@ is very useful, and it is required to `compile esp32 firmware` later.
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### 1.Install Prerequisites
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This project uses `conda` to manage the dependent environment, and after installation, it starts executing the following
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commands.
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This project uses 'conda' to manage dependencies, and after installation, start executing the following commands:
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```
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conda remove -n xiaozhi-esp32-server --all -y
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@@ -183,7 +193,7 @@ conda create -n xiaozhi-esp32-server python=3.10 -y
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conda activate xiaozhi-esp32-server
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```
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If your computer is Windows, execute:
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After executing the above command, if your computer is Windows or Mac, execute the following statement:
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```
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conda activate xiaozhi-esp32-server
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@@ -191,7 +201,7 @@ conda install conda-forge::libopus
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conda install conda-forge::ffmpeg
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```
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If your computer is ubuntu, execute:
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If your computer is ubuntu, execute the following statement:
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```
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apt-get install libopus0 ffmpeg
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+7
-1
@@ -153,12 +153,17 @@ class ConnectionHandler:
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text = None
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try:
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future = self.tts_queue.get()
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if future is None:
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continue
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text = None
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try:
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self.logger.debug("正在处理TTS任务...")
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tts_file, text = future.result(timeout=10)
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self.logger.debug(f"TTS文件生成完毕,文件路径: {tts_file}")
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if os.path.exists(tts_file):
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opus_datas, duration = self.tts.wav_to_opus_data(tts_file)
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else:
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self.logger.error(f"TTS文件不存在: {tts_file}")
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opus_datas = []
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duration = 0
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except TimeoutError:
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@@ -175,6 +180,7 @@ class ConnectionHandler:
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if self.tts.delete_audio_file and os.path.exists(tts_file):
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os.remove(tts_file)
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except Exception as e:
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self.logger.error(f"TTS任务处理错误: {e}")
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self.clearSpeakStatus()
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asyncio.run_coroutine_threadsafe(
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self.websocket.send(json.dumps({"type": "tts", "state": "stop", "session_id": self.session_id})),
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@@ -190,7 +196,7 @@ class ConnectionHandler:
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if tts_file is None:
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self.logger.error(f"tts转换失败,{text}")
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return None
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self.logger.debug(f"TTS 文件生成完毕")
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self.logger.debug(f"TTS 文件生成完毕: {tts_file}")
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return tts_file, text
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def clearSpeakStatus(self):
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+52
-60
@@ -36,6 +36,57 @@ async def handleAudioMessage(conn, audio):
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conn.reset_vad_states()
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async def startToChat(conn, text):
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# 异步发送 stt 信息
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asyncio.create_task(
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schedule_with_interrupt(0, send_stt_message(conn, text))
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)
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conn.executor.submit(conn.chat, text)
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async def sendAudioMessage(conn, audios, duration, text):
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base_delay = conn.tts_duration
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# 发送 tts.start
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if text == conn.tts_first_text:
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logger.info(f"发送第一段语音: {text}")
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conn.tts_start_speak_time = time.time()
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# 发送 sentence_start(每个音频文件之前发送一次)
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await send_tts_message(conn, "sentence_start", text)
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conn.tts_duration += duration
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# 发送音频数据
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for idx, opus_packet in enumerate(audios):
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await conn.websocket.send(opus_packet)
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# 每个音频文件发送结束时,发送 sentence_end
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if idx == len(audios) - 1:
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await send_tts_message(conn, "sentence_end", text)
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if conn.llm_finish_task and text == conn.tts_last_text:
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stop_duration = conn.tts_duration - (time.time() - conn.tts_start_speak_time)
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stop_task = asyncio.create_task(
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schedule_with_interrupt(stop_duration, send_tts_message(conn, 'stop'))
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)
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conn.scheduled_tasks.append(stop_task)
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async def send_tts_message(conn, state, text=None):
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"""发送 TTS 状态消息"""
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message = {
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"type": "tts",
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"state": state,
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"session_id": conn.session_id
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}
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if text is not None:
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message["text"] = text
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await conn.websocket.send(json.dumps(message))
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if state == "stop":
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conn.clearSpeakStatus()
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async def send_stt_message(conn, text):
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"""发送 STT 状态消息"""
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stt_text = get_string_no_punctuation_or_emoji(text)
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await conn.websocket.send(json.dumps({
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"type": "stt",
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@@ -49,66 +100,7 @@ async def startToChat(conn, text):
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"emotion": "happy",
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"session_id": conn.session_id}
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))
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conn.executor.submit(conn.chat, text)
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async def sendAudioMessage(conn, audios, duration, text):
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base_delay = conn.tts_duration
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if text == conn.tts_first_text:
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logger.info(f"发送第一段语音: {text}")
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conn.tts_start_speak_time = time.time()
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await conn.websocket.send(json.dumps({
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"type": "tts",
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"state": "start",
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"session_id": conn.session_id
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}))
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# 调度文字显示任务
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text_task = asyncio.create_task(
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schedule_with_interrupt(
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base_delay - 0.5,
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send_sentence_start(conn, text)
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)
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)
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conn.scheduled_tasks.append(text_task)
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conn.tts_duration = conn.tts_duration + duration
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# 发送音频数据
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for opus_packet in audios:
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await conn.websocket.send(opus_packet)
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if conn.llm_finish_task and text == conn.tts_last_text:
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stop_duration = conn.tts_duration - (time.time() - conn.tts_start_speak_time)
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stop_task = asyncio.create_task(
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schedule_with_interrupt(stop_duration, send_tts_stop(conn, text))
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)
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conn.scheduled_tasks.append(stop_task)
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async def send_sentence_start(conn, text):
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await conn.websocket.send(json.dumps({
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"type": "tts",
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"state": "sentence_start",
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"text": text,
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"session_id": conn.session_id
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}))
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async def send_tts_stop(conn, text):
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await conn.websocket.send(json.dumps({
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"type": "tts",
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"state": "sentence_end",
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"text": text,
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"session_id": conn.session_id
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}))
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await conn.websocket.send(json.dumps({
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"type": "tts",
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"state": "stop",
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"session_id": conn.session_id
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}))
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conn.clearSpeakStatus()
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await send_tts_message(conn, "start")
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async def schedule_with_interrupt(delay, coro):
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@@ -1,3 +1,4 @@
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import json
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import logging
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import requests
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from core.providers.llm.base import LLMProviderBase
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@@ -32,5 +33,6 @@ class LLMProvider(LLMProviderBase):
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if event.get('answer'):
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yield event['answer']
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except Exception:
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except Exception as e:
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logger.error(f"Error in response generation: {e}")
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yield "【服务响应异常】"
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