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| 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. | |