omi-med-stt 0.1.0

CLI for Omi Med STT v1 medical speech-to-text

omi-med-stt

Command-line interface for Omi Med STT v1.

Install

Until PyPI publication, download the private Hugging Face wheel with huggingface_hub and install it locally:

python - <<'PY'
from huggingface_hub import hf_hub_download
print(hf_hub_download(
    "omi-health/omi-med-stt-v1",
    "packages/omi-med-stt/dist/omi_med_stt-0.1.0-py3-none-any.whl",
))
PY
pip install /path/printed/above/omi_med_stt-0.1.0-py3-none-any.whl

After PyPI publication:

pip install omi-med-stt

For Apple Silicon / MLX:

pip install "omi-med-stt[mlx]"

For CUDA/Linux NeMo:

pip install "omi-med-stt[nemo]"

Usage

Simple path:

omi-med-stt audio.wav

On Apple Silicon this defaults to the MLX repo:

omi-med-stt audio.wav --runtime mlx --model omi-health/omi-med-stt-v1-mlx

On Linux/CUDA this defaults to the NeMo repo:

omi-med-stt audio.wav --runtime nemo --model omi-health/omi-med-stt-v1

JSON output:

omi-med-stt audio.wav --json

Dependency check:

omi-med-stt check

omi-stt remains available as a backwards-compatible command alias.

Long Audio

Omi Med STT v1 is based on Parakeet and can handle long-form audio. You do not need to chunk normal long consultations just to use the model.

An explicit chunked path is still available for constrained environments:

omi-med-stt transcribe-long consult.wav --chunk-seconds 25 --overlap 3

Use the simple omi-med-stt audio.wav path first.