Linux command
streamlit 命令
文本
复制后可按需替换文件名、目录或参数。
常用示例
Run Streamlit app
streamlit run [app.py]
Run with specific port
streamlit run [app.py] --server.port [8501]
Run with arguments
streamlit run [app.py] -- [--arg1] [--arg2]
Show configuration
streamlit config show
Create hello app
streamlit hello
Clear cache
streamlit cache clear
Show version
streamlit version
说明
streamlit creates web applications from Python scripts. Data apps, dashboards, and ML demos are built without web development knowledge. Apps are Python scripts using Streamlit's API. Widgets like sliders, buttons, and text inputs are added with single function calls. Hot reload automatically updates the app when code changes. The development workflow is fast and interactive. Caching decorators prevent recomputation of expensive operations. Data loads and model inference are cached across reruns. Deployment options include Streamlit Community Cloud, which hosts apps from GitHub for free. Self-hosting is also supported. Components extend functionality. Custom widgets, visualizations, and integrations are available from the ecosystem.
参数
- run _FILE_
- Run Streamlit app.
- hello
- Run demo app.
- config show
- Show configuration.
- cache clear
- Clear cache.
- version
- Show version.
- --server.port _PORT_
- Server port.
- --server.address _ADDR_
- Server address.
- --server.headless _BOOL_
- Run without browser.
- --browser.serverAddress _ADDR_
- Browser server address.
- --theme.base _THEME_
- Theme (light/dark).
- --global.developmentMode _BOOL_
- Development mode.
FAQ
What is the streamlit command used for?
streamlit creates web applications from Python scripts. Data apps, dashboards, and ML demos are built without web development knowledge. Apps are Python scripts using Streamlit's API. Widgets like sliders, buttons, and text inputs are added with single function calls. Hot reload automatically updates the app when code changes. The development workflow is fast and interactive. Caching decorators prevent recomputation of expensive operations. Data loads and model inference are cached across reruns. Deployment options include Streamlit Community Cloud, which hosts apps from GitHub for free. Self-hosting is also supported. Components extend functionality. Custom widgets, visualizations, and integrations are available from the ecosystem.
How do I run a basic streamlit example?
Run `streamlit run [app.py]` in a terminal, then adjust file names, paths, flags, or remote targets for your system.
What does run _FILE_ do in streamlit?
Run Streamlit app.