# faster-whisper service (Dross voice STT)

Runs on **CT 102** (the Ollama box, `192.168.1.185`), bare-metal (no Docker), on the
RTX A2000 with CPU fallback. OpenAI-style `/transcribe` consumed by void-app
`lib/voice/whisper.js` (`WHISPER_URL=http://192.168.1.185:8001`).

## Install (on CT 102)
```
scp deploy/whisper/{server.py,setup.sh} root@192.168.1.185:/opt/whisper_server.py /root/setup.sh
ssh root@192.168.1.185 'bash /root/setup.sh && install -m644 /opt/whisper_server.py /opt/whisper/server.py && systemctl enable --now whisper'
curl http://192.168.1.185:8001/health   # {"ok":true,"model":"small.en","device":"cuda"}
```
- venv at `/opt/whisper/venv`; model `small.en` (env `WHISPER_MODEL`); CUDA libs via
  `nvidia-cublas-cu12`/`nvidia-cudnn-cu12` pip wheels (LD_LIBRARY_PATH in the unit).
- GPU → CPU fallback is in `server.py` `load()`.
- **CT 102 disk was expanded +20G** (was 89% full) before install.