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JupyterGPT

Github Actions StatusBinder A JupyterLab extension.

Requirements

  • JupyterLab >= 3.0

Install

To install the extension, execute:

pip install JupyterGPT

Uninstall

To remove the extension, execute:

pip uninstall JupyterGPT

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 JupyterGPT directory
# Install package in development mode
pip install -e "."
# 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 JupyterGPT

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 JupyterGPT within that folder.

Testing the extension

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

Release files for JupyterGPT 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for JupyterGPT 0.1.0
File Size Uploaded
jupytergpt-0.1.0.tar.gz 835.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for JupyterGPT 0.1.0
File Interpreter ABI Platform
jupytergpt-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 867.8 kB

Release files / jupytergpt-0.1.0.tar.gz

Download URL jupytergpt-0.1.0.tar.gz
Size 835.6 kB
Tags Source
SHA-256 checksum
How to use checksums
96ab1b6d3cb674891118f0d79937d264948e5cd1317b4bc64243f0ae46cc7f4a
BLAKE2b-256 checksum
How to use checksums
02b58ada73766171bfd0a50c79c037c9cd94c18580c556a6d13fb77ce0c45901
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.3

Release files / jupytergpt-0.1.0-py3-none-any.whl

Download URL jupytergpt-0.1.0-py3-none-any.whl
Size 32.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2922d1cd2a4ee3f043395ea242b09a303e30c2e71d915fede77d683e84d7bc9d
BLAKE2b-256 checksum
How to use checksums
7a1f2cf7a295780c216fe4a887cd86c562698343522f697e2d49127f448aa3e9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.3

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

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