McOwska/action-requirement-classifier

Action Requirement Classifier

This repository contains a lightweight text classifier for predicting whether a message is:

• action_required
• informational
• optional_action

What’s inside

• classifier.joblib: a scikit-learn classifier trained on SentenceTransformer embeddings
• encoder/: the SentenceTransformer encoder saved via SentenceTransformer.save()
• metadata.json: bundle metadata (model selection metric, encoder name, etc.)

Quickstart (Python)

import joblib
from sentence_transformers import SentenceTransformer

encoder = SentenceTransformer("./encoder")
clf = joblib.load("classifier.joblib")

texts = ["Please upload a clearer photo of your ID."]
emb = encoder.encode(texts)
pred = clf.predict(emb)
print(pred[0])

Notes

• The classifier expects embeddings from the included encoder/ directory.
• If you move files around, update paths accordingly.