flowco 0.54.0

Yep.

Flowco

Flowco is designed to run as a web service.
However, it can also be run locally by following these instructions.

Configuration

• Use a conda virtual environment or some other virtual environment.
• You must use Python 3.11.
• Ensure dot is on your path.
• Ensure npm, node, and make are on your path to build from scratch.

API Key

[!IMPORTANT]

Flowco currently needs to be connected to an OpenAI account. Your account will need to have a positive balance for this to work (check your balance). Get a key here.

Once you have an API key, set it as an environment variable called OPENAI_API_KEY.

export OPENAI_API_KEY=<your-api-key>

Installing

From the source

Clone the repo and install:

pip3 install src/mxgraph_component/prebuilt/mxgraph_component-0.0.1-py3-none-any.whl -e .

This installs a bunch of normal packages, a custom component for Streamlit, and then Flowco as an editable package that you can run locally (rather than as the web service).

From scratch

To rebuild the graph component from scratch, run:

make

Running

On the command line, run flowco, passing it the directory in which to store its files. That directory should already exist:

mkdir /tmp/example
flowco /tmp/example

The first time you run, it may take 15-20 seconds to bring up the web page properly due to a timing issue with the libraries. It should launch more quickly after that.

Use -v to turn on logging.