python的pip怎么配置的国内镜像
以下是配置pip国内镜像源的详细方法:
常用国内镜像源列表
- 清华大学:https://pypi.tuna.tsinghua.edu.cn/simple
- 阿里云:https://mirrors.aliyun.com/pypi/simple
- 中科大:https://pypi.mirrors.ustc.edu.cn/simple
- 华为云:https://repo.huaweicloud.com/repository/pypi/simple
- 豆瓣:https://pypi.doubanio.com/simple
Windows系统配置方法(PowerShell)
1. 临时使用镜像源 :
pip install package_name -i https://pypi.tuna.tsinghua.edu.cn/simple
2. 永久配置镜像源 :
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
执行示例:
C:\Users\admin>pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
Writing to C:\Users\admin\AppData\Roaming\pip\pip.ini
Writing to ...
表示 pip 已经将新的配置写入到指定的配置文件中。在 Windows 系统中,用户级别的 pip 配置文件路径通常是:
C:\Users\你的用户名\AppData\Roaming\pip\pip.ini
你看到的路径完全正确,说明配置成功生效。
3. 验证配置是否生效 :
pip config list
执行示例:
C:\Users\admin>pip config list
global.index-url='https://pypi.tuna.tsinghua.edu.cn/simple'
解决SSL验证问题(需要时)
pip install package_name --trusted-host pypi.tuna.tsinghua.edu.cn
执行示例:
C:\Users\admin>pip install package_name --trusted-host pypi.tuna.tsinghua.edu.cn
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting package_nameDownloading https://pypi.tuna.tsinghua.edu.cn/packages/61/5f/6690d5f0bad41818063e3f436c101deff0f243adede1d23642deb607349d/package_name-0.1.tar.gz (782 bytes)Installing build dependencies ... doneGetting requirements to build wheel ... donePreparing metadata (pyproject.toml) ... done
Building wheels for collected packages: package_nameBuilding wheel for package_name (pyproject.toml) ... doneCreated wheel for package_name: filename=package_name-0.1-py3-none-any.whl size=1249 sha256=42d4d6c6fdbbb196c2a799d4ad10002437e5ebf1f518623cb353a5af2f09def1Stored in directory: c:\users\admin\appdata\local\pip\cache\wheels\82\c3\1b\f14c30dafba2a2afde388a04dac07caef2d1b03e22356314a3
Successfully built package_name
Installing collected packages: package_name
Successfully installed package_name-0.1
常用组合命令示例
pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple --trusted-host mirrors.aliyun.com
requirements.txt文件内容
这里面放着项目需要安装的所有的依赖包;
torch<=2.3.0
torchaudio
modelscope
huggingface
huggingface_hub
funasr>=1.1.3
numpy<=1.26.4
gradio
fastapi>=0.111.1