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README.md
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---
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title: Accent Classifier
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emoji: 🎙️
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colorFrom: indigo
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colorTo: purple
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sdk: gradio
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sdk_version: "3.38.1"
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app_file: app.py
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pinned: false
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---
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# Accent Classifier 🎙️
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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.
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1. Paste a public YouTube or Vimeo URL.
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2. The app uses `yt-dlp` to grab the audio.
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3. `ffmpeg` converts it to a 16 kHz WAV file.
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4. A Hugging Face pipeline (`superb/wav2vec2-base-superb-sid`) predicts a speaker ID and confidence.
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5. Temporary files are cleaned up automatically.
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> **Note:** You must have `ffmpeg` installed and on your PATH. If `yt-dlp` is missing, the script will install it at runtime.
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