This repo has been sunset. It has been moved to Solara-Examples, in the bulk-labeling
folder!
A tool for bulk labeling, built in Solara!
I'm trying to rebuild my original bulk-labeling app, which was Streamlit, in Solara so it can be a bit more scalable, customizable, and robust to new features!
I also want to learn how to use solara :)
-
Allow the user to download the labeled file :D (widgetti/solara#30)
-
Fix the layout of embeddings and dataframe so they are next to each other (not stacked)
Also the solara message on the bottom right is in a bad spot -
Get a more fun animation for when the embeddings are being calculated. Would also be cool if we could update them with the logs from UMAP or tqdm
-
The "reset filters" button should really be a switch, not a checkbox. It doesn't look great
-
Add a nice readme like what I have in the streamlit version - We should wait until the visual issues are fixed so we don't need to redo it
-
Write the blog on how I built it (same as above, wait until it's in a better state)
-
Deploy on solara cloud?!? 🚀
- Setup a virtual env:
python -m venv .venv && source .venv/bin/activate
- Install the package:
pip install -e . && pyenv rehash
- Run:
solara run bulk_labeling/main.py
Any changes you make to the app should reflect in realtime
If you are going to be developing, I strongly recommend commenting out the few lines in ml.py:
And uncomment
For some reason, on a page reload, solara breaks if these lines are running.
It will also make prototyping faster because you won't be actually encoding strings.