mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-24 02:32:13 +08:00
9cc0ae0242
The commit adds an explanation about using a `Document` as input in the `FlowRunner` class. It clarifies that using a `Document` is a straightforward way to pass text data in Langflow. Typically, a flow expects a string or a dictionary as input, and if a dictionary is used, it should be built according to the needs of the specific flow. The commit also mentions that the content of a document can be extracted using the `page_content` property and passed as an argument to the selected flow.
Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.