File size: 748 Bytes
c2787aa cd587ab c2787aa cd587ab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
---
title: Accent Classifier
emoji: 🎙️
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.32.0
app_file: app.py
pinned: false
---
# Accent Classifier 🎙️
This Gradio app downloads a public YouTube or Vimeo video, extracts its audio, and classifies the speaker (as a proxy for accent) using a Hugging Face model.
1. Paste a public YouTube or Vimeo URL.
2. The app uses `yt-dlp` to grab the audio.
3. `ffmpeg` converts it to a 16 kHz WAV file.
4. A Hugging Face pipeline (`superb/wav2vec2-base-superb-sid`) predicts a speaker ID and confidence.
5. Temporary files are cleaned up automatically.
> **Note:** You must have `ffmpeg` installed and on your PATH. If `yt-dlp` is missing, the script will install it at runtime. |