Update

This repo has been sunset. It has been moved to Solara-Examples, in the bulk-labeling folder!

bulk-labeling-solara

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 :)

Roadmap

• 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

• Fix mypy issues

• 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?!? 🚀

Development

1. Setup a virtual env: python -m venv .venv && source .venv/bin/activate
2. Install the package: pip install -e . && pyenv rehash
3. Run: solara run bulk_labeling/main.py

Any changes you make to the app should reflect in realtime

Note: SentenceTransformers doesn't play nicely with solara

If you are going to be developing, I strongly recommend commenting out the few lines in ml.py:

bulk-labeling-solara/bulk_labeling/utils/ml.py

Line 5 in e529dd4

from sentence_transformers import SentenceTransformer

bulk-labeling-solara/bulk_labeling/utils/ml.py

Line 9 in e529dd4

ENCODER = SentenceTransformer("paraphrase-MiniLM-L3-v2")

bulk-labeling-solara/bulk_labeling/utils/ml.py

Line 13 in e529dd4

return ENCODER.encode(samples)

And uncomment

bulk-labeling-solara/bulk_labeling/utils/ml.py

Line 15 in e529dd4

# return np.random.rand(len(samples), 20)

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.