Funk-lab/stt/pyproject.toml
Claude 8096ba208d
feat(stt): cadrage + squelette assistant vocal Jarvis
Conception validée du projet STT — assistant vocal/HUD du homelab Funk :
- HUD web sur-mesure + STT/TTS local (faster-whisper + Piper)
- Packaging commande pipx (stt), démarrage auto systemd --user
- Cerveau 3 modes + auto-détection LAN : hermes / local-direct / claude-direct
- Mémoire 3 tiers : SQLite local + Qdrant s01 + GitHub (distillée, versionnée)

Réutilise tools/hermes-voice, LiteLLM, Hermes Agent. Squelette + doc admin/ia/stt.md,
implémentation par phases (roadmap dans le doc).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT
2026-06-17 09:04:53 +00:00

30 lines
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TOML

[project]
name = "stt"
version = "0.0.1"
description = "STT — assistant vocal Jarvis du homelab Funk (voix + HUD + Hermes/Claude)"
requires-python = ">=3.11"
readme = "README.md"
# Réutilise les dépendances éprouvées de tools/hermes-voice + ajouts STT
dependencies = [
"faster-whisper>=1.0.0", # STT local
"sounddevice>=0.4.6", # capture micro
"numpy>=1.24.0",
"requests>=2.31.0", # appels Hermes / LiteLLM
"webrtcvad-wheels>=2.0.10",# VAD / wake word
"websockets>=12.0", # backend ↔ HUD
"anthropic>=0.40.0", # mode claude-direct (hors-LAN)
"qdrant-client>=1.13.0", # mémoire tier s01
"tomli-w>=1.0.0", # écriture config TOML
]
[project.scripts]
stt = "stt.cli:main"
[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
where = ["."]
include = ["stt*"]