Test online here: https://framed.fwd.wf/ (Currently having trouble with my AWS account)
The first release of Frame was completed and released December 25th, 2018.
Frame is a notetaking / journaling web and desktop application with natural language processing features, that allows users to retrieve informed answers in context to questions they can ask in the UI. Frame also automatically generates summaries (both extractive and abstractive) of the text. This analysis is done in real-time (on save), and can navigated intuitively while still editing the content. Frame is designed for introspective and analytical users (researchers and academics might be most interested in this).
Frame is fully functional without running the Python backend (no online API is available at this time). Most of the analysis is done within the app itself (with no external server calls). The data storage uses localForage (IndexedDB), which allows easy mass distribution for Frame (your data self-contained and never sent anywhere outside the local app or browser). Data can be exported and imported as JSON.
Eventually, a donation-supported / subscription-based edition could be serviced for online users through a server on the cloud, with extended features and protected data storage, and automated data extraction / ingestion.
Note: Frame is currently heavily unoptimized with some UI quirks. The project was created as a proof-of-concept but designed to work as a MVP as well. But it is fully functional!
Download Windows build: https://www.mediafire.com/folder/n151mdmi7je72/
A public-serving site is accessible at https://framed.fwd.wf/.
I would deploy on AWS but I'm having trouble with my account right now, as my student email's been deactivated :(
Because Frame's data storage uses the local browser of the user, no user management is needed, as the entries you write are stored in your local browser cache.
Download the Windows release of version 0.1.0 here: https://www.mediafire.com/folder/n151mdmi7je72/
There is no MacOS build, but it should be able to be built with no modifications. If you have a Mac and are willing to create and upload a build, reach out! Thanks. Linux will hopefully come soon too (not tested yet).
???
Additional libraries and references used:
- AllenNLP https://allennlp.org/
- Ant Design https://ant.design/
- compromise https://github.com/spencermountain/compromise
- Draft.js https://draftjs.org/
- franc https://github.com/wooorm/franc
- electron-builder https://www.electron.build/
- LocalForage https://localforage.github.io/localForage/
- medium-draft https://github.com/brijeshb42/medium-draft
- node-sumbasic https://github.com/MSVCode/node-sumbasic
- pysummarization https://pypi.org/project/pysummarization/
- React Draft WYSIWYG https://jpuri.github.io/react-draft-wysiwyg/#/
- react-aria-tabpanel https://github.com/davidtheclark/react-aria-tabpanel
- react-electron-web-boilerplate https://github.com/MikeyFriedChicken/react-electron-web-boilerplate
- react-json-view https://github.com/mac-s-g/react-json-view
- react-sortable-tree https://github.com/frontend-collective/react-sortable-tree
- Recharts https://github.com/recharts/recharts
- uwsgi-nginx-flask-docker uwsgi-nginx-flask-docker