Skip to main content

Get a hand writing your content with AI super powers!

Project description

wagtail-ai

Wagtail AI

Get help with your content using AI superpowers.

License: MIT PyPI version ai CI

Wagtail AI integrates Wagtail with OpenAI's APIs (think ChatGPT) to help you write and correct your content.

Right now, it can:

  • Finish what you've started - write some text and tell Wagtail AI to finish it off for you
  • Correct your spelling/grammar

https://user-images.githubusercontent.com/27112/223072938-8cb5ccff-4835-489a-8be4-cca85001885e.mp4

Requirements & Costs

You'll need a paid OpenAI account and an API key. There'll also be some cost involved. For the API used here, OpenAI charges $0.002 for 1,000 tokens (roughly 4 characters). Every token sent to the API, and every token we get baack counts, so you can expect using 'correction' on 1,000 word paragraph to cost roughly:

  • (1,000 * 4) + (35 * 4) (for the initial prompt) tokens sent to the API
  • +4,000 tokens received from the API
  • = 8,140 tokens = $0.016

The Future

Wagtail AI is very new. Here's some things we'd like to do:

  • Streaming support - the API supports server-sent events, we could do the same
  • A nice UI - it's a bit rough right now
  • Reduce bundle size
  • Internationalisation on text and support for different language prompts
  • Find a better way to hook in to Draftail to do things like show progress bars/spinners.
  • Add more AI behaviours and features - content recommendations, content based Q&A tools, better ways to direct the prompt.
  • Tests!

If you're interested in working on these things, please do!

Links

Supported Versions

  • Wagtail 4.0, 4.1 and 4.2

Installation

  • python -m pip install wagtail-ai
  • Add wagtail_ai to your INSTALLED_APPS
  • Add an OPENAI_API_KEY = "{api_key}" to your Django settings file, replacing {api_key} with your OpenAI API key.

Contributing

Install

To make changes to this project, first clone this repository:

git clone https://github.com/tomusher/wagtail-ai.git
cd wagtail-ai

With your preferred virtualenv activated, install testing dependencies:

Using pip

python -m pip install --upgrade pip>=21.3
python -m pip install -e .[testing] -U

Using flit

python -m pip install flit
flit install

pre-commit

Note that this project uses pre-commit. It is included in the project testing requirements. To set up locally:

# go to the project directory
$ cd wagtail-ai
# initialize pre-commit
$ pre-commit install

# Optional, run all checks once for this, then the checks will run only on the changed files
$ git ls-files --others --cached --exclude-standard | xargs pre-commit run --files

How to run tests

Now you can run tests as shown below:

tox

or, you can run them for a specific environment tox -e python3.8-django3.2-wagtail2.15 or specific test tox -e python3.9-django3.2-wagtail2.15-sqlite wagtail-ai.tests.test_file.TestClass.test_method

To run the test app interactively, use tox -e interactive, visit http://127.0.0.1:8020/admin/ and log in with admin/changeme.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wagtail-ai-1.0.1.tar.gz (116.1 kB view details)

Uploaded Source

Built Distribution

wagtail_ai-1.0.1-py2.py3-none-any.whl (115.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file wagtail-ai-1.0.1.tar.gz.

File metadata

  • Download URL: wagtail-ai-1.0.1.tar.gz
  • Upload date:
  • Size: 116.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.28.2

File hashes

Hashes for wagtail-ai-1.0.1.tar.gz
Algorithm Hash digest
SHA256 b08e0ba31dc949ca12c33b3432a35735df4bbbd98add21eab86ec240845dcd60
MD5 db56fa1f6e3288d472ccc4194268e88f
BLAKE2b-256 b7d105aa3ac205ef60cf7c584a62d9b36661b1ccaa761b65b46e8b9a1e85ae4d

See more details on using hashes here.

File details

Details for the file wagtail_ai-1.0.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for wagtail_ai-1.0.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ce8d2a9ebe98cdfb53df499afd1bf260238aa813427f7a007ad8215761082318
MD5 052fcadf4265e8d17712f27932f016d7
BLAKE2b-256 a510d0ba489b51c810c4c09e02f3239b1edcbc7a18ecd5e71d76be437bb9d539

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page