Yep.
Project description
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.
- Use Python 3.11.
- Ensure
dotis on your path. - Ensure
npmandnodeare on your path to build the project from the source.
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 -e .
This installs a bunch of normal packages and a custom component for Streamlit.
From a prebuilt wheel
You can alternatively install a prebuilt wheel:
pip3 install dist/flowco-py3-none-any.whl
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
Use -v to turn on logging.
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