A Lightning component to Launch Jupyter Lab
JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. This component allows you to create LightningWork with Jupyter Lab. This components support the following jupyter kernels (Python 3.8, R 3,6 and Julia 1.7).
To use this component add modify the following variables below. Please consider checking out our documentation to understand they types of Cloud Compute instances supported. Startup time for this component with all kernels is around 5-6 minutes.
import lightning as L
from lai_jupyter import JupyterLab
app = L.LightningApp(JupyterLab(cloud_compute=L.CloudCompute("cpu-small")))By default this component launches with cpu-small Compute Instance and python Kernel. This can be overridden using the LIGHTNING_JUPYTER_LAB_COMPUTE and LIGHTNING_JUPYTER_LAB_KERNEL environment variable.
lightning run app demo_app.py --cloud
lightning run app demo_app.py --cloud --env LIGHTNING_JUPYTER_LAB_COMPUTE=gpu
lightning run app demo_app.py --cloud --env LIGHTNING_JUPYTER_LAB_COMPUTE=gpu --env LIGHTNING_JUPYTER_LAB_KERNEL="python|r|julia"
Use these instructions to install:
lightning install component lightning/lit-jupyter
Or use it with pip
pip install lightning-jupyter
Or to build locally
git clone https://github.com/Lightning-AI/LAI-Jupyter-Component
cd LAI-Jupyter-Component
pip install .To run the test locally:
# From the root of this package
pip install -r tests/requirements.txt
pytest