README.md

metadata

title: Kana Whisper — Japanese ASR
emoji: 🎙️
colorFrom: indigo
colorTo: pink
sdk: gradio
app_file: app.py
pinned: false
license: mit
short_description: Japanese speech → katakana with sbintuitions/kana-whisper

🎙️ Kana Whisper — Japanese ASR → Katakana

A Gradio demo that transcribes short Japanese audio clips into katakana (pronunciation, not kanji) using sbintuitions/kana-whisper — Whisper large-v3-turbo fine-tuned by SB Intuitions (~0.8B params, MIT).

Example output: キョーワイイテンキデスネ

Deploying to Hugging Face Spaces (ZeroGPU)

1. Create a new Gradio Space and push these files (app.py, requirements.txt, README.md).
2. In the Space Settings → Hardware, select ZeroGPU. The @spaces.GPU decorator in app.py reserves an H200 slice per request and releases it when the call returns. (ZeroGPU requires a PRO account or a Space in an org/grant that allows it.)

That's it — float16 inference is used per the model card's recommendation.

Run locally

Requires a CUDA GPU (the app loads the model onto cuda):

pip install -r requirements.txt
python app.py