35 lines
1.0 KiB
Batchfile
35 lines
1.0 KiB
Batchfile
|
|
@echo off
|
|||
|
|
REM Whisper 服务依赖安装脚本(Windows 服务器)
|
|||
|
|
REM 使用清华大学镜像源加速
|
|||
|
|
|
|||
|
|
echo ======================================
|
|||
|
|
echo 安装 Whisper 语音识别服务依赖
|
|||
|
|
echo ======================================
|
|||
|
|
echo.
|
|||
|
|
|
|||
|
|
REM 1. 配置 pip 使用清华镜像
|
|||
|
|
echo [1/4] 配置 pip 镜像源...
|
|||
|
|
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
|
|||
|
|
|
|||
|
|
REM 2. 升级 pip
|
|||
|
|
echo [2/4] 升级 pip...
|
|||
|
|
python -m pip install --upgrade pip
|
|||
|
|
|
|||
|
|
REM 3. 安装基础依赖
|
|||
|
|
echo [3/4] 安装 Flask 相关依赖...
|
|||
|
|
pip install flask==2.3.0 flask-cors==4.0.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
|
|||
|
|
|
|||
|
|
REM 4. 安装 Whisper
|
|||
|
|
echo [4/4] 安装 openai-whisper(可能需要几分钟)...
|
|||
|
|
pip install openai-whisper -i https://pypi.tuna.tsinghua.edu.cn/simple
|
|||
|
|
|
|||
|
|
echo.
|
|||
|
|
echo ✅ 依赖安装完成!
|
|||
|
|
echo.
|
|||
|
|
echo 📝 后续步骤:
|
|||
|
|
echo 1. 首次运行会自动下载 Whisper 模型(约 140MB)
|
|||
|
|
echo 2. 启动服务:python whisper_server.py
|
|||
|
|
echo 3. 访问:http://服务器IP:5001/health
|
|||
|
|
echo.
|
|||
|
|
pause
|