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. |
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| .. | ||
| docs | ||
| plugins | ||
| src | ||
| static | ||
| babel.config.js | ||
| docusaurus.config.js | ||
| index.d.ts | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| sidebars.js | ||
| spell_add.sh | ||
| spell_check.sh | ||
| tailwind.config.js | ||
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.