This is a code bootcamp project in-progress!
This is my final project for Ada Developers Academy. You can check out the project prospectus for full details. Current goals are:
- RSS fetching and viewing (80% complete)
- RSS is an XML standard for providing website, article, and post summaries. While many sites have moved away from RSS, it's still widely used.
- Keyword or regex tagging
- Simple search on feed content.
- Natural Language Processing (NLP) tags
- The first prototype will use very basic NLP algorithms such as Sentiment Analysis, Naive Bayesian Analysis, and/or Logistic Regression to tag text. These filters can be trained via user curation, and offer reasonable accuracy without extensive machine learning.
- Desktop app or desktop browser app
- I think this will be challenging enough without trying to adapt to small-screen controls.
- Filter wizard
- Drama Llama can suggest filters based on common patterns.
This project is not at all usable at this point. Currently it consists of a python back end (this repo) and a react front end. The front end is tracked in its own repo.
Latest packages for M1 Mac can be found under releases. The zip archive includes a MacOS .app bundle and a console launcher. Linux build scripts are a work in progress.
For bash or zsh:
git clone https://github.com/kaesluder/drama-llama-py
# Note: sparse downloads do not work.
cd drama-llama-py
sh ./build.sh
# build app bundle
sh ./build-standalone.sh
# run desktop app without a full build
sh ./build.sh
sh ./run-llama.sh
If you want to run the GUI in a browser:
sh ./build.sh
source venv/bin/activate
flask run &
open ./gui/index.html
Developed using Python 3.10.9.
feedparser
pywebview
Flask
Flask-Cors
pyinstaller
pytest
Pywebview has its own system requirements for different operating systems.
react (v. 18)
axios
material-ui
luxon
jest