Initial release: DictIA v0.8.14-alpha (fork de Speakr, AGPL-3.0)

deployment/docs/QUICKSTART.md

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+# Quickstart — DictIA
+
+## Prerequis communs
+
+- Docker + Docker Compose V2
+- Git
+- 2GB+ RAM disponible
+
+```bash
+git clone https://gitea.innova-ai.ca/Innova-AI/dictia.git
+cd dictia
+git checkout dictia-branding
+```
+
+---
+
+## Profil Cloud (VPS + GCP GPU)
+
+Le GPU demarre automatiquement quand quelqu'un transcrit, et s'arrete apres 5 min d'inactivite.
+
+```bash
+# 1. Setup interactif
+bash deployment/setup.sh --profile cloud
+
+# 2. Setup ASR Proxy (GCP credentials requises)
+bash deployment/asr-proxy/setup.sh
+
+# 3. Optionnel: Tailscale Serve pour HTTPS
+bash deployment/config/tailscale/setup-serve.sh
+```
+
+**Requis**: credentials GCP (service account ou OAuth) dans `deployment/asr-proxy/gcp-credentials.json`.
+
+---
+
+## Profil Local GPU
+
+Transcription locale sur GPU NVIDIA. Le plus rapide.
+
+```bash
+# Prerequis: nvidia-container-toolkit
+# https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html
+
+# Setup
+bash deployment/setup.sh --profile local-gpu
+```
+
+**Requis**: token HuggingFace pour la diarisation (pyannote).
+
+---
+
+## Profil Local CPU
+
+Transcription sur CPU. Lent mais fonctionnel pour tester.
+
+```bash
+bash deployment/setup.sh --profile local-cpu
+```
+
+Prevoir ~10x le temps reel (1h audio = ~10h de traitement).
+
+---
+
+## Apres l'installation
+
+```bash
+# Verifier que tout fonctionne
+bash deployment/tools/health-check.sh
+
+# Ouvrir DictIA
+open http://localhost:8899
+```
+
+Se connecter avec les identifiants admin configures pendant le setup.
+
+## Commandes utiles
+
+```bash
+# Logs en temps reel
+docker compose -f deployment/docker/docker-compose.<profil>.yml logs -f
+
+# Redemarrer
+docker compose -f deployment/docker/docker-compose.<profil>.yml restart
+
+# Mise a jour
+bash deployment/tools/update.sh
+
+# Backup
+bash deployment/tools/backup.sh
+```