Spaces:
Sleeping
Sleeping
|
Download README.md from twelveswaras/recognizer-api: direct link, hf CLI and curl.
- Browser
- Download file 832 Bytes
-
https://huggingface.co/spaces/twelveswaras/recognizer-api/resolve/main/README.md
- Command line
-
hf download hf://spaces/twelveswaras/recognizer-api/README.md
-
curl -L -o README.md https://huggingface.co/spaces/twelveswaras/recognizer-api/resolve/main/README.md
832 Bytes
metadata
title: twelveswaras recognizer API
emoji: 🎧
colorFrom: yellow
colorTo: red
sdk: docker
app_port: 7860
pinned: false
twelveswaras recognizer API (headless)
The decoupled inference backend. No UI: it exposes JSON only. The user-facing wheel lives first-party on twelveswaras.com (Cloudflare Pages) and calls this through a Cloudflare Worker.
GET /health->{ "status": "ok", "raagas": 40 }POST /identify(multipartaudio) ->{ top3, tonic_hz, heard_seconds, no_prediction, swara_activation[12] }
This Space is a Docker SDK space (not Gradio). It builds space/Dockerfile, which runs
uvicorn api:app on port 7860. To deploy, assemble the build (raaga_id/, models/, api.py,
Dockerfile, requirements-api.txt) and push to a Space whose README has the front-matter above.
See cloudflare/DEPLOY.md.