README.md

metadata

title: ZeroGPU Strip Bench
emoji: ⏱️
colorFrom: blue
colorTo: purple
sdk: gradio
python_version: '3.10'
app_file: app.py
pinned: false

ZeroGPU strip-pass benchmark (throwaway test app)

Standalone benchmark to measure real timing of the vocal-isolation pass — the same model the live Voice Remover's Step 1 uses (mel_band_roformer_vocals_becruily) — on this Space's ZeroGPU hardware.

Not connected to the production site, its password gate, or its backend. Purpose is purely to get real load-time / inference-time numbers before deciding whether ZeroGPU is worth building into the actual product.

Use

Upload a song, click "Run strip pass". Reports model-load time, separation time, total, the GPU name, and an estimate of how many runs the 2-min/day free IP-based quota buys per visitor (excludes any per-region splits on top).

Deploy

Space hardware must be set to ZeroGPU and SDK to Gradio (already required for spaces.GPU to work at all — Docker/Static Spaces can't schedule onto ZeroGPU). Upload app.py, requirements.txt, and this README.md to the Space's file root.