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