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A newer version of the Gradio SDK is available: 5.33.0

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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.