README.md

metadata

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.