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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: 5.32.0 |
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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. |
