---
title: Chunk Classifier
emoji: 🎵
colorFrom: purple
colorTo: pink
sdk: gradio
app_file: app.py
pinned: false
---

Classify audio chunks for music contamination and technical defects using the
[AST AudioSet](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) model (527 classes).

**Input:** one or more HF chunk dataset repo IDs (e.g. `fosters/my-book-chunks`).

**Output:** `<input>_classified` dataset — all rows kept, new columns added:
`music_score`, `has_music`, `contaminated`, `flags`, `top_labels`, `rms_db`, `clipping_ratio`, `max_silence_sec`.
The `audio` column is preserved as-is so you can listen in the HF viewer and sort by `music_score`.

Set `HF_TOKEN` as a Space secret to read private datasets and write to `fosters/`.