Copilot for jupyter lab
We are bringing "comment driven development" back in vouge and brushing off its bad reputation!
Use special comments, #@ to steer the llm to write the code you want.
Give the agent a goal, and let it do its magic. (This works best with gpt4)
Right now the easiest way to use this extension is to build (it takes a while the first time) and run the Dockerfile:
docker build . --tag='labpilot'
docker run -d --restart=unless-stopped -p 8888:8888 -p 8080:8080 -p 8081:8081 -e JUPYTER_TOKEN=<TOKEN> --name labpilot labpilot
- When you have started the container, navigate to localhost:8888 and use the
<TOKEN>you started the container with, to log in. - Next, navigate to Settings > Advanced Setting Editor > Labpilot Settings - and enter your OpenAI api key (remember to add billing information to OpenAI since labpilot uses the chat completion api, which costs money):
- After that I would follow the tutorial in the
tutorial.ipynbfile for a short introduction to labpilots features:
