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233 lines
8.1 KiB
Markdown
233 lines
8.1 KiB
Markdown

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# Xiaozhi ESP-32 Back-end Service (xiaozhi-esp32-server)
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([中文](README.md) | English)
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This project provides backend services for the open-source smart hardware
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project [xiaozhi-esp32](https://github.com/78/xiaozhi-esp32)。Implemented in Python following
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the[Xiaozhi Communication Protocol](https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh)。
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## Target Audience
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This project requires compatible esp32 hardware devices. If you have purchased esp32 hardware, successfully connected to
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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 fully experience this project, follow these steps:
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- Prepare hardware compatible with the `xiaozhi-esp32` project. For supported
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models, [click here](https://rcnv1t9vps13.feishu.cn/wiki/DdgIw4BUgivWDPkhMj1cGIYCnRf).
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- Use a computer/server with at least 4-core CPU and 8GB RAM to run this project. After deployment, you'll see the
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service endpoint address in the console.
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- Download the `xiaozhi-esp32` project, replace the default `endpoint address` with your own, compile, and flash the
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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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## Feature List
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## Implemented
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- `xiaozhi-esp32` WebSocket communication protocol
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- Support for 5 languages: Mandarin, Cantonese, English, Japanese, Korean (FunASR - default)
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- Flexible LLM switching (ChatGLM - default, Dify, DeepSeek)
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- Flexible TTS switching (EdgeTTS - default, ByteDance Doubao TTS)
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## In Progress
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- Conversation interruption
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- Manual button-triggered dialogue
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- Sleep mode after inactivity
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- Dialogue memory
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## Dependencies
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| Type | Service | Usage | Pricing Model | Notes |
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|:-----|:-----------|:--------:|:---------------|:-------------------------------------------------------------------|
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| LLM | DeepSeek | API call | Token-based | [Apply for API Key](https://platform.deepseek.com/) |
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| LLM | Dify | API call | Token-based | Self-hosted |
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| LLM | ChatGLMLLM | API call | Free | [Create API Key](https://bigmodel.cn/usercenter/proj-mgmt/apikeys) |
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| TTS | DoubaoTTS | API call | Token-based | [Create API Key](https://console.volcengine.com/speech/service/8) |
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| TTS | EdgeTTS | API call | 免费 | |
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| VAD | SileroVAD | Local | Free | |
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| ASR | FunASR | Local | Free | |
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# Deployment
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Currently supports local source code execution. Docker deployment coming soon.
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## Local Source Code Deployment
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### 1.Install Prerequisites
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Requires `Python` and `Conda` environments:
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```
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conda remove -n xiaozhi-esp32-server --all -y
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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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### 2.Install Dependencies
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```
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cd xiaozhi-esp32-server
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conda activate xiaozhi-esp32-server
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pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/
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pip install -r requirements.txt
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```
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### 3.Download ASR Model
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Download [SenseVoiceSmall](https://modelscope.cn/models/iic/SenseVoiceSmall/resolve/master/model.pt) to
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`model/SenseVoiceSmall`.
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### 4.Configure Project
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Modify the `Config.yaml` file to configure the various parameters required for this project. The default LLM uses
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`Chatglmllm`, you need to configure the key to start.
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The default TTS uses `Edgetts`. This does not require configuration. If you need to replace it with` TTS`, you need to
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configure the key.
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Configuration description: This is the default component of each function, such as LLM default to use the `Chatglmllm`
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model. If you need to switch the model, it is the corresponding name.
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```
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selected_module:
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ASR: FunASR
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VAD: SileroVAD
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LLM: ChatGLMLLM
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TTS: EdgeTTS
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```
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For example, modify the components used by `llm`, depending on which` llm` supports this project, as follows, it
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supports `Deepseekllm` and` Chatglmllm`. You are modified to the corresponding LLM in `selectd_module`
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```
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LLM:
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DeepSeekLLM:
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...
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ChatGLMLLM:
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...
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DifyLLM:
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...
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```
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Some services, for example, if you use the TTS` of the `dify` and` bean bags, you need a key, remember to add the
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configuration file!
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### 5.Run the Project
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Run the Project
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```
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python app.py
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```
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You'll see the WebSocket endpoint in logs:
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```
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2025-xx-xx xx:51:59,492 - core.server - INFO - Server is running at ws://192.168.1.25:8000
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2025-xx-xx xx:51:59,516 - websockets.server - INFO - server listening on 0.0.0.0:8000
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```
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Among them, the `ws://192.168.1.25:8000` is the interface address provided by this project. Of course, your own machine
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is different from mine. Remember to find your own address.
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### 6.Compile ESP32 Firmware
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1. Download `xiaozhi-esp32` project, configure the project environment according to this
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tutorial [" Windows builds ESP IDF 5.3.2 Development Environment and Compiles Xiaozhi "](https://icnynnzcwou8.feishu.cn/wiki/JEYDwTTALi5s2zkGlFGcDiRknXf)
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Cure
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2. Open the `xiaozhi-esp32/main/kconfig.projbuild` file, find the content of the` websocket_url` `default`, change the
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` wss: // api.tenclass.net` to your own address, such as
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Before modification:
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```
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config WEBSOCKET_URL
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depends on CONNECTION_TYPE_WEBSOCKET
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string "Websocket URL"
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default "wss://api.tenclass.net/xiaozhi/v1/"
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help
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Communication with the server through websocket after wake up.
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```
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After modification (example):
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```
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config WEBSOCKET_URL
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depends on CONNECTION_TYPE_WEBSOCKET
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string "Websocket URL"
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default "ws://192.168.1.25:8000/xiaozhi/v1/"
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help
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Communication with the server through websocket after wake up.
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```
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3. Configure build settings:
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```
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# The terminal command line enters the root directory of xiaozhi-esp32
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cd xiaozhi-esp32
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# For example, the board I use is ESP32S3, so the compile target is ESP32S3. If your board is other models, please replace it with the corresponding model
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idf.py set-target esp32s3
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# Enter the menu configuration
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idf.py menuconfig
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```
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After entering the menu configuration, then enter `xiaozhi assistant`, set the` connection_type` to `websocket`
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Go back to the main menu, then enter `xiaozhi assistant`, set the `BOARD_TYPE` of your board
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Save exit and return to the terminal command line.
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4. Build and package:
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```
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idf.py build
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cd scripts
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python release.py
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```
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After the compilation is successful, the firmware file `merged-binary.bin` is generated in the` build` directory in the
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project root directory.
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This `merged-binary.bin` is the firmware file that will be recorded on the hardware.
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6. Flash
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Connect the ESP32 device to the computer, use the Chrome browser, and open the following URL
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```
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https://espressif.github.io/esp-launchpad/
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```
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Open this
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tutorial, [Flash Tools/Web -side Burning Folding Step (No IDF Development Environment)] (https://ccnphfhqs21z.feishu.cn/wiki/Zpz4wXBtdimBrLk25WdcXzxcnNS).
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Turn to: `Method 2: ESP-LAUNCHPAD browser web-end burning`, start from
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`3. Burning firmware/download to the development board`, follow the tutorial operation.
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# FAQ
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## 1、TTS often fails, often overtime
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Suggestion: If the `Edgetts` is slow or often fails, you can replace it with a bean bag TTS` with a volcanic engine. If
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both are slow, the network environment may need to be optimized.
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## 2、Big model reply is a bit slow
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Suggestions: Both big models and TTS are dependent interfaces. If the network environment is not good, you can consider
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changing the local model. Or try to switch different interface models.
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## 3、For more questions, contact us to feedback
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# Acknowledgments
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- This project is inspired by the [Bailin Voice Dialogue Robot] (https://github.com/wwbin2017/bailing) project, and the
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basic idea of the project is completed. |