diff --git a/.gitignore b/.gitignore index 7b0cac5e..b5711fbe 100644 --- a/.gitignore +++ b/.gitignore @@ -187,4 +187,8 @@ uploadfile !main/manager-mobile/**/env/ !main/manager-mobile/**/.env* !main/manager-mobile/**/*.json -!main/xiaozhi-server/**/*.json \ No newline at end of file +!main/xiaozhi-server/**/*.json +!main/digital-human/**/*.json +main/digital-human/wakeword_runtime/models +main/digital-human/wakeword_runtime/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01 +sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2 diff --git a/README.md b/README.md index 5b89b9c5..1f3941c4 100644 --- a/README.md +++ b/README.md @@ -226,7 +226,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/ | 工具名称 | 位置 | 使用方法 | 功能说明 | |:---:|:---|:---:|:---:| -| 音频交互测试工具 | main》xiaozhi-server》test》test_page.html | 使用谷歌浏览器直接打开 | 测试音频播放和接收功能，验证Python端音频处理是否正常 | +| 音频交互测试工具 | main》digital-human》index.html | 在 `main/digital-human` 执行 `python start.py` 后访问 `http://127.0.0.1:8006/index.html` | 测试音频播放和接收功能，验证Python端音频处理是否正常 | | 模型响应测试工具 | main》xiaozhi-server》performance_tester.py | 执行 `python performance_tester.py` | 测试ASR(语音识别)、LLM(大模型)、VLLM(视觉模型)、TTS(语音合成)三个核心模块的响应速度 | > 💡 提示：测试模型速度时，只会测试配置了密钥的模型。 diff --git a/README_de.md b/README_de.md index 9239eb70..0579d176 100644 --- a/README_de.md +++ b/README_de.md @@ -224,7 +224,7 @@ Dieses Projekt bietet die folgenden Testwerkzeuge, um Ihnen bei der Überprüfun | Werkzeugname | Standort | Verwendungsmethode | Funktionsbeschreibung | |:---:|:---|:---:|:---:| -| Audio-Interaktionstesttool | main》xiaozhi-server》test》test_page.html | Direkt mit Google Chrome öffnen | Testet Audio-Wiedergabe- und Empfangsfunktionen, überprüft, ob die Python-seitige Audioverarbeitung normal ist | +| Audio-Interaktionstesttool | main》digital-human》index.html | In `main/digital-human` `python start.py` ausführen und dann `http://127.0.0.1:8006/index.html` öffnen | Testet Audio-Wiedergabe- und Empfangsfunktionen, überprüft, ob die Python-seitige Audioverarbeitung normal ist | | Modell-Reaktionstesttool | main》xiaozhi-server》performance_tester.py | Ausführen `python performance_tester.py` | Testet die Reaktionsgeschwindigkeit von ASR (Spracherkennung), LLM (großes Modell), VLLM (Vision-Modell), TTS (Sprachsynthese) drei Kernmodulen | > 💡 Hinweis: Beim Testen der Modellgeschwindigkeit werden nur Modelle mit konfigurierten Schlüsseln getestet. diff --git a/README_en.md b/README_en.md index 2fa9144a..fe406f81 100644 --- a/README_en.md +++ b/README_en.md @@ -224,7 +224,7 @@ This project provides the following testing tools to help you verify the system | Tool Name | Location | Usage Method | Function Description | |:---:|:---|:---:|:---:| -| Audio Interaction Test Tool | main》xiaozhi-server》test》test_page.html | Open directly with Google Chrome | Tests audio playback and reception functions, verifies if Python-side audio processing is normal | +| Audio Interaction Test Tool | main》digital-human》index.html | Run `python start.py` in `main/digital-human`, then open `http://127.0.0.1:8006/index.html` | Tests audio playback and reception functions, verifies if Python-side audio processing is normal | | Model Response Test Tool | main》xiaozhi-server》performance_tester.py | Execute `python performance_tester.py` | Tests response speed of three core modules: ASR(speech recognition), LLM(large model), VLLM(vision model), TTS(speech synthesis) | > 💡 Note: When testing model speed, only models with configured keys will be tested. diff --git a/README_pt_BR.md b/README_pt_BR.md index 902e7528..38e51cd2 100644 --- a/README_pt_BR.md +++ b/README_pt_BR.md @@ -224,7 +224,7 @@ Este projeto fornece as seguintes ferramentas de teste para ajudá-lo a verifica | Nome da Ferramenta | Localização | Método de Uso | Descrição da Função | |:---:|:---|:---:|:---:| -| Ferramenta de Teste de Interação por Áudio | main》xiaozhi-server》test》test_page.html | Abrir diretamente com Google Chrome | Testa as funções de reprodução e recepção de áudio, verifica se o processamento de áudio no lado Python está normal | +| Ferramenta de Teste de Interação por Áudio | main》digital-human》index.html | Execute `python start.py` em `main/digital-human` e depois abra `http://127.0.0.1:8006/index.html` | Testa as funções de reprodução e recepção de áudio, verifica se o processamento de áudio no lado Python está normal | | Ferramenta de Teste de Resposta de Modelo | main》xiaozhi-server》performance_tester.py | Execute `python performance_tester.py` | Testa a velocidade de resposta dos três módulos principais: ASR(reconhecimento de fala), LLM(modelo de linguagem), VLLM(modelo de visão), TTS(síntese de voz) | > 💡 Nota: Ao testar a velocidade dos modelos, apenas os modelos com chaves configuradas serão testados. diff --git a/README_vi.md b/README_vi.md index 6c0c4f36..086e079f 100644 --- a/README_vi.md +++ b/README_vi.md @@ -225,7 +225,7 @@ Dự án này cung cấp các công cụ kiểm tra sau để giúp bạn xác m | Tên công cụ | Vị trí | Phương pháp sử dụng | Mô tả chức năng | |:---:|:---|:---:|:---:| -| Công cụ kiểm tra tương tác âm thanh | main》xiaozhi-server》test》test_page.html | Mở trực tiếp bằng trình duyệt Google Chrome | Kiểm tra chức năng phát và nhận âm thanh, xác minh xử lý âm thanh phía Python có bình thường không | +| Công cụ kiểm tra tương tác âm thanh | main》digital-human》index.html | Chạy `python start.py` trong `main/digital-human`, sau đó mở `http://127.0.0.1:8006/index.html` | Kiểm tra chức năng phát và nhận âm thanh, xác minh xử lý âm thanh phía Python có bình thường không | | Công cụ kiểm tra phản hồi mô hình | main》xiaozhi-server》performance_tester.py | Thực hiện `python performance_tester.py` | Kiểm tra tốc độ phản hồi của ba module cốt lõi ASR(Nhận dạng giọng nói), LLM(Mô hình lớn), VLLM(Mô hình thị giác), TTS(Tổng hợp giọng nói) | > 💡 Gợi ý: Khi kiểm tra tốc độ mô hình, chỉ kiểm tra các mô hình đã cấu hình khóa. diff --git a/docs/Deployment.md b/docs/Deployment.md index aff1287e..28836f18 100644 --- a/docs/Deployment.md +++ b/docs/Deployment.md @@ -241,7 +241,7 @@ LLM: 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-OTA接口是 http://192.168.4.123:8003/xiaozhi/ota/ 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-Websocket地址是 ws://192.168.4.123:8000/xiaozhi/v1/ 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-=======上面的地址是websocket协议地址，请勿用浏览器访问======= -250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-如想测试websocket请启动digital-human模块，打开浏览器交互测试 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-======================================================= ``` diff --git a/docs/Deployment_all.md b/docs/Deployment_all.md index 822c15c7..e998942f 100644 --- a/docs/Deployment_all.md +++ b/docs/Deployment_all.md @@ -198,7 +198,7 @@ docker logs -f xiaozhi-esp32-server ``` 25-02-23 12:01:09[core.websocket_server] - INFO - Websocket地址是 ws://xxx.xx.xx.xx:8000/xiaozhi/v1/ 25-02-23 12:01:09[core.websocket_server] - INFO - =======上面的地址是websocket协议地址，请勿用浏览器访问======= -25-02-23 12:01:09[core.websocket_server] - INFO - 如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +25-02-23 12:01:09[core.websocket_server] - INFO - 如想测试websocket请启动digital-human模块，打开浏览器交互测试 25-02-23 12:01:09[core.websocket_server] - INFO - ======================================================= ``` @@ -431,7 +431,7 @@ python app.py ``` 25-02-23 12:01:09[core.websocket_server] - INFO - Server is running at ws://xxx.xx.xx.xx:8000/xiaozhi/v1/ 25-02-23 12:01:09[core.websocket_server] - INFO - =======上面的地址是websocket协议地址，请勿用浏览器访问======= -25-02-23 12:01:09[core.websocket_server] - INFO - 如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +25-02-23 12:01:09[core.websocket_server] - INFO - 如想测试websocket请启动digital-human模块，打开浏览器交互测试 25-02-23 12:01:09[core.websocket_server] - INFO - ======================================================= ``` diff --git a/docs/all-in-one-digital-human-setup.md b/docs/all-in-one-digital-human-setup.md new file mode 100644 index 00000000..ebee66d5 --- /dev/null +++ b/docs/all-in-one-digital-human-setup.md @@ -0,0 +1,442 @@ +# 一体机数字人配置指南 + +本项目用于在 x86 架构设备（如迷你主机、工控机、普通电脑等）上部署一套完整的数字人展示系统，实现以下功能： +- 开机自动进入 Kiosk 全屏浏览器，展示指定网页 +- 后台运行唤醒词检测服务，支持语音交互 + +> **说明**：本文档以 **Intel N100 迷你主机（天虹 QN10-100B4）** 为例进行部署演示，其他 x86 设备可参考调整（注意网络配置和声卡设备差异）。 + +## 适用环境 + +| 项目 | 说明 | +|------|------| +| 示例硬件 | 天虹 QN10-100B4（Intel N100） | +| 操作系统 | Ubuntu 24.04 LTS (Noble Numbat) | +| 示例用户 | xz（请根据实际情况替换） | +| 网络 | Wi-Fi 连接，固定 IP（可按需改为有线） | + +## 部署流程 + +1. 系统初始化（换源、连网） +2. 安装图形组件与 Kiosk 浏览器 +3. 配置自动登录与图形界面 +4. 部署唤醒词服务（Python 环境 + 麦克风） +5. 优化开机速度与隐藏启动信息 + +--- + + +### 系统初始化（换源、连网） + +``` +sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak + +sudo tee /etc/apt/sources.list > /dev/null < **提醒**：以下命令中的 Wi-Fi 名称、密码、IP 地址均为示例，请务必替换为你自己的实际信息。 + +Bash + +``` +sudo nmcli device wifi connect "MERCURY_1812" password "12345678" + +sudo nmcli connection modify "MERCURY_1812" ipv4.addresses "192.168.0.86/24" ipv4.gateway "192.168.0.1" ipv4.dns "8.8.8.8,114.114.114.114" ipv4.method "manual" + +sudo nmcli connection up "MERCURY_1812" +``` + + +### 第一步：安装核心图形组件与浏览器 + +这里我们坚持“极简主义”，坚决不装多余的桌面环境（如 GNOME/KDE），只装底层驱动、最轻量的窗口管理器（Openbox）、隐藏鼠标工具以及 Chromium 浏览器。 + +Bash + +``` +sudo timedatectl set-timezone Asia/Shanghai + + +sudo apt install net-tools vim fonts-wqy-microhei fonts-wqy-zenhei alsa-utils pulseaudio -y +sudo apt install --no-install-recommends xserver-xorg x11-xserver-utils xinit openbox unclutter -y + +wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb +sudo apt install ./google-chrome-stable_current_amd64.deb -y +rm google-chrome-stable_current_amd64.deb + +sudo apt purge snapd -y + +``` + +### 第二步：配置 TTY1 开机免密自动登录 + +为了避免手动输入账号密码的尴尬，我们通过修改 systemd 服务，让系统一开机就自动以 `xz` 的身份登录。这里使用一键写入命令，彻底避开由于 `nano` 或 `vi` 操作不当导致的保存失败问题。 + +**1. 创建配置目录：** + +Bash + +``` +sudo mkdir -p /etc/systemd/system/getty@tty1.service.d/ +``` + +**2. 写入自动登录规则：** + +Bash + +``` +echo -e "[Service]\nExecStart=\nExecStart=-/sbin/agetty --autologin xz --noclear %I \$TERM" | sudo tee /etc/systemd/system/getty@tty1.service.d/override.conf +``` + +**3. 重载服务并设置默认启动目标：** + +Bash + +``` +sudo systemctl daemon-reload +sudo systemctl set-default multi-user.target +``` + +### 第三步：配置登录后自动启动图形界面 + +系统自动登录后默认停留在黑底白字的命令行，我们需要配置脚本，让它一旦登录立马启动 X11 图形环境。 + +**1. 触发 `startx` 的启动逻辑：** + +直接将触发代码追加写入你的个人环境配置文件中： + +Bash + +``` +cat << 'EOF' >> ~/.bash_profile +if [ -z "$DISPLAY" ] && [ "$(fgconsole)" -eq 1 ]; then + exec startx +fi +EOF +``` + +**2. 告诉 `startx` 去启动 Openbox：** + +Bash + +``` +echo "exec openbox-session" > ~/.xinitrc +``` + +### 第四步：配置“铜墙铁壁”的 Openbox 与浏览器 + +这是最核心的一步：关闭屏幕休眠、隐藏鼠标、全屏锁定浏览器，并写一个“死循环”保证浏览器被意外关闭后也能瞬间复活。 + +**1. 创建 Openbox 配置目录：** + +Bash + +``` +mkdir -p ~/.config/openbox +``` + +**2. 写入自启动脚本 (`autostart`)：** + +复制以下整段代码并回车（这会自动把所有保护规则写进文件里）： + +Bash + +``` +cat << 'EOF' > ~/.config/openbox/autostart +# 关闭屏幕保护 +xset -dpms +xset s noblank +xset s off + +# 隐藏鼠标 +unclutter -idle 0.1 -root & + +# 死循环启动 Chromium（崩溃或被关也能秒重启） +while true; do + google-chrome \ + --kiosk \ + --no-first-run \ + --no-default-browser-check \ + --disable-infobars \ + --disable-session-crashed-bubble \ + --disable-translate \ + --disable-external-intent-requests \ + --autoplay-policy=no-user-gesture-required \ + --use-fake-ui-for-media-stream \ + "https://www.douyin.com" + sleep 2 +done & +EOF +``` + +**3. 屏蔽 `Alt+F4` 退出快捷键：** + +为了防止别人插上键盘强行关掉窗口，我们把 Openbox 默认的系统快捷键干掉。 + +Bash + +``` +cp /etc/xdg/openbox/rc.xml ~/.config/openbox/ +sed -i '//,/<\/keybind>/d' ~/.config/openbox/rc.xml +``` + +### 第五步：重启验收成果 + +如果拔掉网线或不需要等待所有网络上线，可禁用网络等待服务，避免开机卡顿 + +Bash + +``` +sudo systemctl mask systemd-networkd-wait-online.service +sudo systemctl mask NetworkManager-wait-online.service +``` + +隐藏开机信息（GRUB） + +Bash + +``` +sudo sed -i 's/GRUB_CMDLINE_LINUX_DEFAULT=.*/GRUB_CMDLINE_LINUX_DEFAULT="quiet loglevel=3 systemd.show_status=false vt.global_cursor_default=0"/g' /etc/default/grub + +echo 'GRUB_TIMEOUT_STYLE="hidden"' | sudo tee -a /etc/default/grub +echo 'GRUB_RECORDFAIL_TIMEOUT=0' | sudo tee -a /etc/default/grub + +sudo update-grub +``` + +声音设置成100%，然后 重启： + +Bash + +``` +amixer -q sset Master 100% unmute +sudo reboot +``` + +### 部署唤醒词服务 + +在一体机上部署唤醒词检测服务，需要安装 Python 环境、上传项目文件、配置 Camera 麦克风和开机自启。 + +#### 1. 安装 Miniconda + +```bash +wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh +bash Miniconda3-latest-Linux-x86_64.sh -b -p $HOME/miniconda3 +~/miniconda3/bin/conda init bash +source ~/.bashrc +rm Miniconda3-latest-Linux-x86_64.sh +``` + + +确保登录时自动进入conda环境 + +```bash +if ! grep -q '.bashrc' ~/.bash_profile; then + cat << 'EOF' >> ~/.bash_profile + +if [ -f ~/.bashrc ]; then + . ~/.bashrc +fi +EOF +fi +``` + + +#### 2. 创建 Python 虚拟环境 + +```bash +conda create -n test python=3.10 -y +conda activate test +``` + +若出现 Terms of Service have not been accepted 错误，执行： + +```bash +conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main +conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r +``` + +#### 3. 上传项目文件 + +将开发机上的 `main/digital-human/` 整个目录上传到一体机的 `~/digital-human/` 目录： + +```bash +# 在开发机上执行（将 <一体机IP> 替换为实际 IP） +scp -r main/digital-human/ xz@<一体机IP>:~/digital-human/ +``` + +#### 4. 安装系统依赖 + +唤醒词服务需要音频采集库和 ALSA PulseAudio 插件： + +```bash +sudo apt install libportaudio2 portaudio19-dev libasound2-plugins -y +``` + +#### 5. 安装 Python 依赖 + +```bash +cd ~/digital-human/wakeword_runtime +pip install numpy +pip install -r requirements.txt +``` + +#### 6. 下载唤醒词模型 + +模型文件不包含在项目中，需要单独下载配置，详见 [docs/digital-human-wakeword.md](digital-human-wakeword.md) 中的“模型下载”章节。 + +#### 7. 修改 Openbox 自启动脚本 + +需要在 autostart 中加上 PulseAudio 和 Camera 麦克风配置，并将 Chrome 地址改为测试页面。 + +先确认 Camera 麦克风在 PulseAudio 中的设备名： + +```bash +pulseaudio --start +pactl list sources short +``` + +找到包含 `USB_Camera` 的那一行，记下完整名称，例如： + +``` +alsa_input.usb-SN0002_2K_USB_Camera_46435000_P030D00_SN0002-02.mono-fallback +``` + +然后用完整内容覆盖 autostart（将 `TARGET_MIC` 替换为你的实际设备名）： + +```bash +cat << 'EOF' > ~/.config/openbox/autostart +# 1. 启动声音服务并稍作等待 +pulseaudio --start +sleep 1 + +# 2. 锁定 Camera 的麦克风（请替换为你的实际设备名） +TARGET_MIC="alsa_input.usb-SN0002_2K_USB_Camera_46435000_P030D00_SN0002-02.mono-fallback" + +# 3. 设为系统默认麦克风 +pactl set-default-source "$TARGET_MIC" + +# 4. 解除静音 +pactl set-source-mute "$TARGET_MIC" 0 + +# 5. 音量拉到 100% +pactl set-source-volume "$TARGET_MIC" 100% + +# --- 极简桌面与浏览器环境配置 --- + +# 关闭屏幕保护 +xset -dpms +xset s noblank +xset s off + +# 隐藏鼠标 +unclutter -idle 0.1 -root & + +# 死循环启动浏览器（崩溃或被关也能秒重启） +while true; do + google-chrome \ + --kiosk \ + --no-first-run \ + --no-default-browser-check \ + --disable-infobars \ + --disable-session-crashed-bubble \ + --disable-translate \ + --disable-external-intent-requests \ + --autoplay-policy=no-user-gesture-required \ + --use-fake-ui-for-media-stream \ + "http://127.0.0.1:8006/index.html" + sleep 2 +done & +EOF +``` + +#### 8. 配置唤醒词服务开机自启 + +创建 systemd 服务文件，让唤醒词服务开机自动运行。 + +先确认当前用户的 UID： + +```bash +id -u $(whoami) +``` + +然后用查到的 UID 替换下面 `1000`（通常第一个用户就是 1000）： + +```bash +sudo tee /etc/systemd/system/digital-human.service << 'EOF' +[Unit] +Description=Digital Human Runtime +After=network.target sound.target + +[Service] +Type=simple +User=xz +Environment=XDG_RUNTIME_DIR=/run/user/1000 +Environment=PULSE_SERVER=unix:/run/user/1000/pulse/native +WorkingDirectory=/home/xz/digital-human +ExecStartPre=/bin/sleep 10 +ExecStart=/home/xz/miniconda3/envs/test/bin/python start.py +Restart=on-failure +RestartSec=10 + +[Install] +WantedBy=multi-user.target +EOF +``` + +> **重要说明**： +> - `User=xz` — 替换为你的实际用户名 +> - `/run/user/1000` — 替换为你实际的 UID +> - `WorkingDirectory` 和 `ExecStart` 中的路径 — 替换为你的实际部署路径 +> - `Environment` 中的 PulseAudio 环境变量**必须保留**，否则唤醒词服务和浏览器无法同时使用 Camera 麦克风 + +启用并启动服务： + +```bash +sudo systemctl daemon-reload +sudo systemctl enable digital-human +sudo systemctl start digital-human +``` + +#### 9. 常用服务管理命令 + +```bash +sudo systemctl start digital-human # 立即启动 +sudo systemctl stop digital-human # 停止 +sudo systemctl restart digital-human # 重启 +sudo systemctl status digital-human # 查看状态 +journalctl -u digital-human -f # 查看实时日志 +``` + diff --git a/docs/digital-human-wakeword.md b/docs/digital-human-wakeword.md new file mode 100644 index 00000000..71d147be --- /dev/null +++ b/docs/digital-human-wakeword.md @@ -0,0 +1,220 @@ +# 数字人唤醒词教程 + +## 概述 + +测试页面集成了基于 **Sherpa-ONNX** 的高精度语音唤醒功能，支持自定义唤醒词和实时检测。使用轻量级关键词检测模型，提供毫秒级响应速度。 + +## 唤醒词模型 + +### 模型下载（必需） + +**重要说明**: 项目不包含模型文件，需要提前下载配置。 + +### 官方模型下载地址 + +- **官方模型列表**: +- **推荐模型**: `sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01` + +### 下载和配置步骤 + +#### 1. 下载模型包 + +```bash +# 方法1：直接下载（推荐） +cd main/digital-human/wakeword_runtime/ +wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2 + +# 解压 +tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2 + +# 方法2：使用ModelScope +pip install modelscope +python -c " +from modelscope import snapshot_download +snapshot_download('pkufool/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01', cache_dir='./models') +" +``` + +#### 2. 配置模型文件 + +模型包下载后包含以下文件： + +``` +sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01/ +├── encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx # 速度优先 +├── encoder-epoch-12-avg-2-chunk-16-left-64.onnx +├── encoder-epoch-99-avg-1-chunk-16-left-64.int8.onnx # 速度优先 +├── encoder-epoch-99-avg-1-chunk-16-left-64.onnx # 精度优先 +├── decoder-epoch-12-avg-2-chunk-16-left-64.onnx +├── decoder-epoch-99-avg-1-chunk-16-left-64.onnx # 精度优先 +├── joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx # 速度优先 +├── joiner-epoch-12-avg-2-chunk-16-left-64.onnx +├── joiner-epoch-99-avg-1-chunk-16-left-64.int8.onnx # 速度优先 +├── joiner-epoch-99-avg-1-chunk-16-left-64.onnx # 精度优先 +├── tokens.txt # Token映射表（必需） +├── keywords_raw.txt # 模型包里可能附带（可选，runtime 不依赖） +├── keywords.txt # 现成的 +├── test_wavs/ # 测试音频（可选） +├── configuration.json # 模型元信息（可选） +└── README.md # 说明文档（可选） +``` + +#### 3. 选择配置方案 + +**方案一：精度优先（推荐）** + +```bash +cd sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01 + +# 创建模型目录 +mkdir -p ../models + +# 复制精度优先的epoch-99 fp32三件套 +cp encoder-epoch-99-avg-1-chunk-16-left-64.onnx ../models/encoder.onnx +cp decoder-epoch-99-avg-1-chunk-16-left-64.onnx ../models/decoder.onnx +cp joiner-epoch-99-avg-1-chunk-16-left-64.onnx ../models/joiner.onnx + +# 复制配套文件 +cp tokens.txt ../models/tokens.txt +# keywords_raw.txt 如果模型包里附带，可自行保留；runtime 不依赖它 +``` + +**方案二：速度优先** + +```bash +cd sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01 + +# 创建模型目录 +mkdir -p ../models + +# 复制速度优先的epoch-99 int8三件套 +cp encoder-epoch-99-avg-1-chunk-16-left-64.int8.onnx ../models/encoder.onnx +cp decoder-epoch-99-avg-1-chunk-16-left-64.onnx ../models/decoder.onnx +cp joiner-epoch-99-avg-1-chunk-16-left-64.int8.onnx ../models/joiner.onnx + +# 复制配套文件 +cp tokens.txt ../models/tokens.txt +``` + +**注意事项**: + +- **不要混用 fp32 与 int8**：三个模型文件必须保持一致的精度 +- **优先选择 epoch-99**：比 epoch-12 训练更充分，精度更高 +- **必需文件**：`encoder.onnx` + `decoder.onnx` + `joiner.onnx` + `tokens.txt` + `keywords.txt` + +### 最终模型文件结构 + +配置完成后，模型文件应放在 `wakeword_runtime/models/` 目录下，完整路径为 `main/digital-human/wakeword_runtime/models/`： + +``` +wakeword_runtime/models/ +├── encoder.onnx # 编码器模型（重命名后） +├── decoder.onnx # 解码器模型（重命名后） +├── joiner.onnx # 连接器模型（重命名后） +├── tokens.txt # 拼音 Token 映射表（228行版本） +├── keywords.txt # 关键词配置文件（首次启动自动生成） +└── keywords_raw.txt # 可选，runtime 不依赖 +``` + +## 启动方式 + +在 `main/digital-human` 目录执行： + +```bash +pip install -r wakeword_runtime/requirements.txt +python start.py +``` + +启动后默认地址： + +- 页面地址：`http://127.0.0.1:8006/index.html` +- 事件桥地址：`ws://127.0.0.1:8006/wakeword-ws` +- 健康检查：`http://127.0.0.1:8006/health` + +停止方式： + +- 在运行终端按 `Ctrl+C` +- 会同时停止静态页面服务、事件桥和唤醒词检测流程 + +## 配置文件说明 + +配置文件位于 [main/digital-human/wakeword_runtime/config.json](../main/digital-human/wakeword_runtime/config.json)。 + +当前主要配置项： + +```json +{ + "wakeword": { + "enabled": true + }, + "model_dir": "models", + "audio": { + "input_device": null, + "sample_rate": 16000, + "channels": 1 + }, + "detector": { + "num_threads": 4, + "provider": "cpu", + "max_active_paths": 2, + "keywords_score": 1.8, + "keywords_threshold": 0.1, + "num_trailing_blanks": 1, + "cooldown_seconds": 1.5 + }, + "logging": { + "level": "INFO", + "dir": "logs", + "file": "wakeword-runtime.log" + } +} +``` + +各字段含义： + +| 参数 | 说明 | +| --- | --- | +| `wakeword.enabled` | 是否启用本地唤醒词检测 | +| `model_dir` | 模型和词表所在目录 | +| `audio.input_device` | 麦克风输入设备，默认使用系统默认设备 | +| `audio.sample_rate` | 采样率，默认 `16000` | +| `audio.channels` | 声道数，默认 `1` | +| `detector.num_threads` | 检测器线程数 | +| `detector.provider` | 推理 provider，当前通常为 `cpu` | +| `detector.max_active_paths` | 搜索路径数 | +| `detector.keywords_score` | 关键词增强分数 | +| `detector.keywords_threshold` | 检测阈值 | +| `detector.num_trailing_blanks` | 尾随空白数量 | +| `detector.cooldown_seconds` | 连续触发冷却时间 | +| `logging.level` | 日志等级 | +| `logging.dir` | 日志目录 | +| `logging.file` | 日志文件名 | + +## 推荐使用流程 + +### 首次使用 + +1. 准备 `models/` 目录下的模型文件和 `tokens.txt` +2. 确认 `models/keywords.txt` 存在 +3. 在 `digital-human` 目录运行 `python start.py` +4. 浏览器打开 `http://127.0.0.1:8006/index.html` +5. 进入设置页检查“唤醒词”配置 + +### 修改唤醒词 + +1. 打开数字人页面设置 +2. 切到“唤醒词”页签 +3. 修改启用状态或唤醒词列表 +4. 点击“应用唤醒词” +5. 根据提示决定是否立即重启 + +### 禁用唤醒词 + +1. 将“启用本地唤醒词”改成禁用 +2. 点击“应用唤醒词” +3. 建议立即重启一次 + +禁用后： + +- 页面与事件桥仍然可用 +- 唤醒词检测不会继续运行 diff --git a/docs/firmware-build.md b/docs/firmware-build.md index 64584b27..2e274464 100644 --- a/docs/firmware-build.md +++ b/docs/firmware-build.md @@ -13,9 +13,9 @@ http://192.168.1.25:8003/xiaozhi/ota/ ``` 如果显示“OTA接口运行正常，向设备发送的websocket地址是：ws://xxx:8000/xiaozhi/v1/ -你可以使用项目自带的`test_page.html`测试一下，是否能连上ota页面输出的websocket地址。 +你可以启动`digital-human`模块后打开`index.html`测试一下，是否能连上ota页面输出的websocket地址。 -如果访问不到，你需要到配置文件`.config.yaml`里修改`server.websocket`的地址，重启后再重新测试，直到`test_page.html`能正常访问。 +如果访问不到，你需要到配置文件`.config.yaml`里修改`server.websocket`的地址，重启后再重新测试，直到`index.html`能正常访问。 成功后，请往下进行第2步 diff --git a/docs/mcp-endpoint-enable.md b/docs/mcp-endpoint-enable.md index 2d86f802..5baf58e7 100644 --- a/docs/mcp-endpoint-enable.md +++ b/docs/mcp-endpoint-enable.md @@ -118,7 +118,7 @@ mcp_endpoint: ws://192.168.1.25:8004/mcp_endpoint/mcp/?token=def 250705[__main__]-INFO-mcp接入点是 ws://192.168.1.25:8004/mcp_endpoint/mcp/?token=abc 250705[__main__]-INFO-Websocket地址是 ws://192.168.1.25:8000/xiaozhi/v1/ 250705[__main__]-INFO-=======上面的地址是websocket协议地址，请勿用浏览器访问======= -250705[__main__]-INFO-如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +250705[__main__]-INFO-如想测试websocket请启动digital-human模块，打开浏览器交互测试 250705[__main__]-INFO-============================================================= ``` diff --git a/docs/mcp-endpoint-integration.md b/docs/mcp-endpoint-integration.md index 91d62278..eec41963 100644 --- a/docs/mcp-endpoint-integration.md +++ b/docs/mcp-endpoint-integration.md @@ -23,7 +23,7 @@ 250705[__main__]-INFO-mcp接入点是 ws://192.168.1.25:8004/mcp_endpoint/mcp/?token=abc 250705[__main__]-INFO-Websocket地址是 ws://192.168.1.25:8000/xiaozhi/v1/ 250705[__main__]-INFO-=======上面的地址是websocket协议地址，请勿用浏览器访问======= -250705[__main__]-INFO-如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +250705[__main__]-INFO-如想测试websocket请启动digital-human模块，打开浏览器交互测试 250705[__main__]-INFO-============================================================= ``` diff --git a/docs/mcp-vision-integration.md b/docs/mcp-vision-integration.md index dbeaa8c2..5d0cd8c6 100644 --- a/docs/mcp-vision-integration.md +++ b/docs/mcp-vision-integration.md @@ -58,7 +58,7 @@ docker restart xiaozhi-esp32-server 2025-06-01 **** - 视觉分析接口是 http://192.168.4.7:8003/mcp/vision/explain 2025-06-01 **** - Websocket地址是 ws://192.168.4.7:8000/xiaozhi/v1/ 2025-06-01 **** - =======上面的地址是websocket协议地址，请勿用浏览器访问======= -2025-06-01 **** - 如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +2025-06-01 **** - 如想测试websocket请启动digital-human模块，打开浏览器交互测试 2025-06-01 **** - ============================================================= ``` @@ -133,7 +133,7 @@ docker restart xiaozhi-esp32-server 2025-06-01 **** - 视觉分析接口是 http://192.168.4.7:8003/mcp/vision/explain 2025-06-01 **** - Websocket地址是 ws://192.168.4.7:8000/xiaozhi/v1/ 2025-06-01 **** - =======上面的地址是websocket协议地址，请勿用浏览器访问======= -2025-06-01 **** - 如想测试websocket请用谷歌浏览器打开test目录下的test_page.html +2025-06-01 **** - 如想测试websocket请启动digital-human模块，打开浏览器交互测试 2025-06-01 **** - ============================================================= ``` diff --git a/docs/paddlespeech-deploy.md b/docs/paddlespeech-deploy.md index 94621eb5..7e094b02 100644 --- a/docs/paddlespeech-deploy.md +++ b/docs/paddlespeech-deploy.md @@ -91,7 +91,7 @@ TTS: ```py python app.py ``` -打开test目录下的test_page.html，测试连接和发送消息时paddlespeech端是否有输出日志 +启动`main/digital-human`下的`python start.py`后，打开`http://127.0.0.1:8006/index.html`，测试连接和发送消息时paddlespeech端是否有输出日志 输出日志参考： ``` diff --git a/main/README.md b/main/README.md index 962b7888..ed7f9bc3 100644 --- a/main/README.md +++ b/main/README.md @@ -9,6 +9,7 @@ * [3.2. `manager-api` (管理后端 - Java Spring Boot实现)](#32-manager-api-管理后端---java-spring-boot实现) * [3.3. `manager-web` (Web管理前端 - Vue.js实现)](#33-manager-web-web管理前端---vuejs实现) * [3.4. `manager-mobile` (移动管理端 - uni-app+Vue3实现)](#34-manager-mobile-移动管理端---uni-appvue3实现) + * [3.5. `digital-human` (数字人测试模块 - Python+Web实现)](#35-digital-human-数字人测试模块---pythonweb实现) 4. [数据流与交互机制](#4-数据流与交互机制) 5. [核心功能概要](#5-核心功能概要) 6. [部署与配置概述](#6-部署与配置概述) @@ -67,6 +68,13 @@ * 基于alova + @alova/adapter-uniapp实现网络请求，与manager-api无缝集成。 * 使用pinia进行状态管理，确保数据一致性。 +6. **`digital-human` (数字人测试模块 - Python+Web实现):** + 这是一个独立的数字人测试模块，提供本地测试页面、前端交互资源、唤醒词运行时与事件桥能力，用于联调整个数字人交互链路。其主要能力包括： + * 提供浏览器端的数字人测试页面，用于验证音频播放、接收和交互流程。 + * 集成本地唤醒词运行时，支持基于Sherpa-ONNX的关键词检测。 + * 通过事件桥将页面状态与本地运行时打通，便于调试唤醒词触发与交互效果。 + * 作为独立模块与`xiaozhi-server`、`manager-web`、`manager-api`并列，便于单独开发和部署。 + **高层交互流程概述:** * **语音交互主线:** **ESP32设备**捕捉到用户语音后，通过**WebSocket**将音频数据实时传输给**`xiaozhi-server`**。`xiaozhi-server`完成一系列AI处理（VAD、ASR、LLM交互、TTS）后，再通过WebSocket将合成的语音回复发送回ESP32设备进行播放。所有与语音直接相关的实时交互均在此链路完成。 @@ -80,7 +88,8 @@ xiaozhi-esp32-server ├─ xiaozhi-server 8000 端口 Python语言开发 负责与esp32通信 ├─ manager-web 8001 端口 Node.js+Vue开发 负责提供控制台的web界面 ├─ manager-api 8002 端口 Java语言开发 负责提供控制台的api - └─ manager-mobile 跨平台移动应用 uni-app+Vue3开发 负责提供移动版智控台管理 + ├─ manager-mobile 跨平台移动应用 uni-app+Vue3开发 负责提供移动版智控台管理 + └─ digital-human 数字人测试模块 Python+Web实现 负责本地测试页面、唤醒词运行时与事件桥 ``` --- @@ -366,6 +375,48 @@ xiaozhi-esp32-server --- +### 3.5. `digital-human` (数字人测试模块 - Python+Web实现) + +`digital-human` 组件是一个独立的数字人测试模块，负责提供本地测试页面、页面资源、唤醒词运行时和事件桥能力。它主要用于联调整个数字人交互链路，帮助开发者验证页面交互、音频能力和本地唤醒词流程。 + +* **核心目标:** + * 提供独立的本地测试页面，用于验证数字人交互效果。 + * 提供本地唤醒词运行时，支持关键词检测与事件上报。 + * 为前端页面和本地运行时提供事件桥，打通测试链路。 + * 以独立模块形式存在，便于单独开发、调试和部署。 + +* **核心技术栈:** + * **Python 3:** 作为测试运行时的主要语言，负责启动本地服务、管理唤醒词运行时和事件桥。 + * **原生HTML/CSS/JavaScript:** 用于构建数字人测试页面与交互逻辑。 + * **Sherpa-ONNX:** 用于本地唤醒词检测。 + * **ThreadingHTTPServer / WebSocket桥接:** 用于承载测试页面、健康检查和本地事件通信。 + +* **关键实现细节:** + + 1. **模块入口与页面资源:** + * `start.py` 是模块启动入口，负责初始化测试运行时。 + * `index.html` 是数字人测试页面入口。 + * `js/`、`css/`、`images/`、`resources/` 目录提供页面脚本、样式和资源文件。 + + 2. **本地测试运行时:** + * `wakeword_runtime/` 目录承载本地唤醒词运行时实现。 + * 运行时负责配置加载、日志初始化、音频采集、关键词检测和服务生命周期管理。 + * 模块默认通过本地HTTP服务暴露页面地址、事件桥地址和健康检查接口。 + + 3. **唤醒词检测链路:** + * 基于Sherpa-ONNX关键词检测模型，支持本地唤醒词触发。 + * 模型文件和关键词配置位于 `wakeword_runtime/models/` 及相应配置文件中。 + * 页面侧可结合事件桥观察唤醒词服务状态和触发结果。 + + 4. **调试与联调定位:** + * 启动后可通过浏览器访问本地页面，验证音频播放、接收和交互逻辑。 + * 通过事件桥可以将唤醒词状态同步到页面，便于排查本地链路问题。 + * 详细的模型下载、运行时配置和使用说明已整理在 `docs/digital-human-wakeword.md` 中。 + +`digital-human` 的存在使得数字人相关能力可以脱离主服务独立验证，降低了页面调试、唤醒词联调和本地环境搭建的复杂度。 + +--- + ## 4. 数据流与交互机制 `xiaozhi-esp32-server` 系统通过各组件间定义清晰的数据流和交互协议来协同工作。主要的通信方式依赖于针对实时交互优化的WebSocket协议和适用于客户端-服务器请求的RESTful API。 diff --git a/main/README_en.md b/main/README_en.md index 281eafd6..9b0a1fdf 100644 --- a/main/README_en.md +++ b/main/README_en.md @@ -9,6 +9,7 @@ * [3.2. `manager-api` (Management Backend - Java Spring Boot Implementation)](#32-manager-api-management-backend---java-spring-boot-implementation) * [3.3. `manager-web` (Web Management Frontend - Vue.js Implementation)](#33-manager-web-web-management-frontend---vuejs-implementation) * [3.4. `manager-mobile` (Mobile Management Console - uni-app Implementation)](#34-manager-mobile-mobile-management-console---uniapp-implementation) + * [3.5. `digital-human` (Digital Human Test Module - Python+Web Implementation)](#35-digital-human-digital-human-test-module---pythonweb-implementation) 4. [Data Flow and Interaction Mechanisms](#4-data-flow-and-interaction-mechanisms) 5. [Key Features Summary](#5-key-features-summary) 6. [Deployment and Configuration Overview](#6-deployment-and-configuration-overview) @@ -60,6 +61,21 @@ The `xiaozhi-esp32-server` system adopts a **distributed, multi-component collab * (Potential functionality) Monitoring system operation status, viewing logs, troubleshooting, etc. * Comprehensive interaction with all backend management functions provided by `manager-api`. +5. **`manager-mobile` (Mobile Management Console - uni-app Implementation):** + This is a cross-platform mobile management application based on uni-app v3 + Vue 3 + Vite, supporting App (Android & iOS) and WeChat Mini Program. Its main capabilities include: + * Providing a convenient management interface on mobile devices, similar in functionality to manager-web but optimized for mobile platforms. + * Supporting core functions such as user login, device management, and AI service configuration. + * Cross-platform adaptation, allowing a single codebase to run on iOS, Android, and WeChat Mini Programs. + * Integrating with `manager-api` through alova + `@alova/adapter-uniapp`. + * Using pinia for state management to ensure data consistency. + +6. **`digital-human` (Digital Human Test Module - Python+Web Implementation):** + This is an independent digital human test module that provides a local test page, frontend interaction resources, a wake word runtime, and an event bridge for end-to-end debugging of the digital human interaction flow. Its main capabilities include: + * Providing a browser-based digital human test page for validating audio playback, audio reception, and interaction flow. + * Integrating a local wake word runtime with keyword detection based on Sherpa-ONNX. + * Bridging page state and the local runtime through an event bridge to simplify wake word debugging. + * Existing as a standalone module alongside `xiaozhi-server`, `manager-web`, and `manager-api`, making independent development and deployment easier. + **High-Level Interaction Flow Overview:** * **Voice Interaction Main Line:** After the **ESP32 device** captures user voice, it transmits audio data in real-time to **`xiaozhi-server`** through **WebSocket**. After `xiaozhi-server` completes a series of AI processing (VAD, ASR, LLM interaction, TTS), it sends the synthesized voice response back to the ESP32 device for playback through WebSocket. All real-time interactions directly related to voice are completed in this link. @@ -73,7 +89,8 @@ xiaozhi-esp32-server ├─ xiaozhi-server Port 8000 Python development Responsible for ESP32 communication ├─ manager-web Port 8001 Node.js+Vue development Responsible for providing web interface for console ├─ manager-api Port 8002 Java development Responsible for providing console API - └─ manager-mobile Cross-platform mobile application uni-app+Vue3 development Responsible for providing mobile console management + ├─ manager-mobile Cross-platform mobile application uni-app+Vue3 development Responsible for providing mobile console management + └─ digital-human Digital human test module Python+Web implementation Responsible for local test page, wake word runtime, and event bridge ``` --- @@ -257,6 +274,46 @@ The `manager-mobile` component is a cross-platform mobile management application `manager-mobile` provides users with a fully functional, smooth mobile management tool through the application of these technologies, allowing administrators to perform system management and configuration anytime, anywhere. +### 3.5. `digital-human` (Digital Human Test Module - Python+Web Implementation) + +The `digital-human` component is an independent digital human test module responsible for providing a local test page, page resources, a wake word runtime, and an event bridge. It is primarily used to debug the complete digital human interaction flow and to validate frontend interaction, audio capability, and local wake word behavior. + +* **Core Objectives:** + * Provide an independent local test page for validating digital human interaction effects. + * Provide a local wake word runtime for keyword detection and event reporting. + * Provide an event bridge between the frontend page and the local runtime to connect the test flow. + * Exist as a standalone module for easier independent development, debugging, and deployment. + +* **Core Technologies:** + * **Python 3:** Used for the local test runtime, service startup, wake word lifecycle management, and event bridge coordination. + * **Native HTML/CSS/JavaScript:** Used to build the digital human test page and interaction logic. + * **Sherpa-ONNX:** Used for local wake word keyword detection. + * **ThreadingHTTPServer / WebSocket bridge:** Used to serve the local page, health check endpoint, and event communication. + +* **Key Implementation Aspects:** + + 1. **Module Entry and Page Resources:** + * `start.py` is the module entry point responsible for starting the local test runtime. + * `index.html` is the entry page for digital human testing. + * The `js/`, `css/`, `images/`, and `resources/` directories provide frontend scripts, styles, and static resources. + + 2. **Local Test Runtime:** + * The `wakeword_runtime/` directory contains the local wake word runtime implementation. + * The runtime is responsible for configuration loading, logging initialization, audio capture, keyword detection, and lifecycle management. + * The module exposes a local page URL, event bridge URL, and health check endpoint through a local HTTP service. + + 3. **Wake Word Detection Flow:** + * Uses Sherpa-ONNX keyword detection models to support local wake word triggering. + * Model files and keyword configurations are stored in `wakeword_runtime/models/` and related configuration files. + * The page can observe runtime state and trigger results through the event bridge. + + 4. **Debugging and Integration Positioning:** + * After startup, developers can open the local page in a browser to validate playback, reception, and interaction logic. + * The event bridge synchronizes wake word state to the page, which helps with local debugging. + * Detailed model download, runtime configuration, and usage instructions are documented in `docs/digital-human-wakeword.md`. + +The `digital-human` module allows digital human related capabilities to be validated independently from the main service, reducing the complexity of page debugging, wake word integration, and local environment setup. + --- ## 4. Data Flow and Interaction Mechanisms diff --git a/main/digital-human/README.md b/main/digital-human/README.md new file mode 100644 index 00000000..26b41c36 --- /dev/null +++ b/main/digital-human/README.md @@ -0,0 +1,46 @@ +本文档是开发类文档，如需部署小智服务端，[点击这里查看部署教程](../../README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3) + +如需查看一体机数字人落地部署、Kiosk 全屏启动和系统环境配置，[点击这里查看一体机部署指南](../../docs/all-in-one-digital-human-setup.md) + +如需查看唤醒词模型下载、运行时配置和详细使用说明，[点击这里查看唤醒词专题文档](../../docs/digital-human-wakeword.md) + +# 项目介绍 + +digital-human 是独立的数字人测试模块，负责提供本地测试页面、前端交互资源、唤醒词运行时和事件桥能力，用于联调整个数字人交互链路。 + +# 快速启动 + +安装依赖： + +```bash +pip install -r wakeword_runtime/requirements.txt +``` + +启动模块： + +```bash +python start.py +``` + +# 访问地址 + +启动后可访问： + +- 页面地址：http://127.0.0.1:8006/index.html +- 事件桥地址：ws://127.0.0.1:8006/wakeword-ws +- 健康检查：http://127.0.0.1:8006/health + +# 目录说明 + +- `start.py`：模块启动入口 +- `index.html`：数字人测试页面入口 +- `wakeword_runtime`：本地唤醒词运行时与配置目录 +- `js`、`css`：页面前端脚本与样式 +- `images`、`resources`：页面资源文件 + +# 相关文档 + +- 一体机部署指南：适用于 x86 设备整机落地部署、Kiosk 展示和开机自启动配置 + [../../docs/all-in-one-digital-human-setup.md](../../docs/all-in-one-digital-human-setup.md) +- 唤醒词专题文档：适用于唤醒词模型下载、运行时配置和本地调试说明 + [../../docs/digital-human-wakeword.md](../../docs/digital-human-wakeword.md) diff --git a/main/xiaozhi-server/test/css/bg.png b/main/digital-human/css/bg.png similarity index 100% rename from main/xiaozhi-server/test/css/bg.png rename to main/digital-human/css/bg.png diff --git a/main/xiaozhi-server/test/css/test_page.css b/main/digital-human/css/index.css similarity index 98% rename from main/xiaozhi-server/test/css/test_page.css rename to main/digital-human/css/index.css index 157df9a4..e2e488bf 100644 --- a/main/xiaozhi-server/test/css/test_page.css +++ b/main/digital-human/css/index.css @@ -812,6 +812,20 @@ body { font-size: 14px; } +.config-item textarea { + width: 100%; + padding: 12px; + border: 1px solid #40444b; + border-radius: 6px; + background: #40444b; + color: white; + min-height: 100px; + resize: vertical; + box-sizing: border-box; + font-family: inherit; + font-size: 14px; +} + .model-select { width: 100%; padding: 10px 40px 10px 14px; diff --git a/main/xiaozhi-server/test/favicon.ico b/main/digital-human/favicon.ico similarity index 100% rename from main/xiaozhi-server/test/favicon.ico rename to main/digital-human/favicon.ico diff --git a/main/xiaozhi-server/test/images/1.png b/main/digital-human/images/1.png similarity index 100% rename from main/xiaozhi-server/test/images/1.png rename to main/digital-human/images/1.png diff --git a/main/xiaozhi-server/test/images/2.png b/main/digital-human/images/2.png similarity index 100% rename from main/xiaozhi-server/test/images/2.png rename to main/digital-human/images/2.png diff --git a/main/xiaozhi-server/test/images/3.png b/main/digital-human/images/3.png similarity index 100% rename from main/xiaozhi-server/test/images/3.png rename to main/digital-human/images/3.png diff --git a/main/xiaozhi-server/test/test_page.html b/main/digital-human/index.html similarity index 87% rename from main/xiaozhi-server/test/test_page.html rename to main/digital-human/index.html index 30d68073..3d844f32 100644 --- a/main/xiaozhi-server/test/test_page.html +++ b/main/digital-human/index.html @@ -4,8 +4,8 @@ - 小智服务器测试页面 - + 小智数字人页面 +