@jupyter-ai/dalle
v0.5.0
Published
A JupyterLab extension that adds a DALL-E model engine and image insertion modes.
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Readme
jupyter_ai_dalle
This extension is composed of a Python package named jupyter_ai_dalle
that exposes the model engines to the Jupyter AI server extension,
and an NPM package named jupyter_ai_dalle
that provides a frontend labextension registering inserters.
Requirements
- JupyterLab >= 3.0
Install
To install the extension, execute:
pip install jupyter_ai_dalle
Uninstall
To remove the extension, execute:
pip uninstall jupyter_ai_dalle
Contributing
Development install
Note: You will need NodeJS to build the extension package.
The jlpm
command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn
or npm
in lieu of jlpm
below.
# Clone the repo to your local environment
# Change directory to the jupyter_ai_dalle directory
# Install package in development mode
pip install -e ".[test]"
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm build
You can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter lab
With the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm build
command generates the source maps for this
extension to make it easier to debug using the browser dev tools. To also
generate source maps for the JupyterLab core extensions, you can run the
following command:
jupyter lab build --minimize=False
Development uninstall
pip uninstall jupyter_ai_dalle
In development mode, you will also need to remove the symlink created by jupyter labextension develop
command. To find its location, you can run jupyter labextension list
to figure out where the labextensions
folder is located. Then you can remove the symlink named jupyter_ai_dalle
within that folder.
Testing the extension
Backend tests
This AI module is using Pytest for Python code testing.
Install test dependencies (needed only once):
pip install -e ".[test]"
# Each time you install the Python package, you need to restore the front-end extension link
jupyter labextension develop . --overwrite
To execute them, run:
pytest -vv -r ap --cov jupyter_ai_dalle
Frontend tests
This extension is using Jest for JavaScript code testing.
To execute them, execute:
jlpm
jlpm test
Integration tests
This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.
More information are provided within the ui-tests README.
Packaging the extension
See RELEASE