Folzo
4deb72d8c9
- install-stt.sh: Complete automated setup for speaches (STT) - install-voices-fr.sh: Optional French voices for Piper TTS - Both scripts handle SELinux permissions (:Z labels) - Include health checks and user-friendly output
132 lines
4.0 KiB
Bash
132 lines
4.0 KiB
Bash
#!/bin/bash
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# Script d'installation STT (speaches) pour Effi sur Fedora
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# À exécuter sur folzo-Corp
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set -e # Stop en cas d'erreur
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echo "=========================================="
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echo "🎤 Installation STT (speaches) pour Effi"
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echo "=========================================="
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# 1. Créer le dossier
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mkdir -p ~/speaches
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cd ~/speaches
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# 2. Créer le docker-compose
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cat > docker-compose.yml << 'EOFDocker'
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services:
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speaches:
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image: ghcr.io/speaches-ai/speaches:latest
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container_name: speaches-stt
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restart: unless-stopped
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user: "0:0"
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ports:
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- "8200:8000"
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environment:
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- WHISPER__MODEL=deepdml/faster-whisper-large-v3-turbo-ct2
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- WHISPER__LANGUAGE=fr
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- WHISPER__COMPUTE_TYPE=int8
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- WHISPER__DEVICE=cpu
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- WHISPER__CPU_THREADS=4
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volumes:
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- speaches-models:/home/user/.cache/huggingface:Z
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speaches-init:
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image: curlimages/curl:latest
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container_name: speaches-init
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restart: "no"
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depends_on:
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- speaches
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entrypoint: >
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sh -c "echo 'Attente du démarrage de speaches...' &&
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sleep 15 &&
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curl -sf -X POST http://speaches:8000/v1/models
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-H 'Content-Type: application/json'
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-d '{\"model\":\"deepdml/faster-whisper-large-v3-turbo-ct2\"}' &&
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echo ' ✅ Modèle enregistré' ||
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echo ' ⚠️ Erreur - vérifier manuellement'"
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volumes:
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speaches-models:
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EOFDocker
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echo "✅ Docker compose créé"
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# 3. Lancer le service
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echo "🚀 Démarrage de speaches..."
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sudo docker compose up -d
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# 4. Attendre et monitorer
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echo "⏳ Téléchargement du modèle Whisper (~1.5GB, peut prendre 5-10 min)..."
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echo " Appuyez sur Ctrl+C pour arrêter l'affichage (le téléchargement continue)"
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sleep 5
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# Afficher les logs en temps réel pendant 60 secondes ou jusqu'à ce que ce soit prisudo timeout 60 docker logs -f speaches-stt 2>&1 || true
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echo ""
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echo "⏳ Attente supplémentaire pour le téléchargement..."
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sleep 30
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# 5. Vérifier l'état
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echo ""
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echo "🔍 Vérification du service..."
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if sudo docker ps | grep -q "speaches-stt"; then
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echo "✅ Container speaches-stt tourne"
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else
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echo "❌ Container speaches-stt ne tourne pas"
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sudo docker logs speaches-stt --tail 20
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exit 1
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fi
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# 6. Vérifier le modèle
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echo ""
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echo "🔍 Vérification du modèle..."
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sleep 5
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if curl -s http://localhost:8200/v1/models | grep -q "faster-whisper"; then
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echo "✅ Modèle Whisper bien enregistré"
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else
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echo "⚠️ Modèle non enregistré automatiquement, enregistrement manuel..."
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curl -X POST http://localhost:8200/v1/models
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-H "Content-Type: application/json"
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-d '{"model":"deepdml/faster-whisper-large-v3-turbo-ct2"}' || echo "⚠️ Échec enregistrement"
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fi
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# 7. Test rapide
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echo ""
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echo "🧪 Test du service..."
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curl -s http://localhost:8200/health && echo " ✅ Health OK" || echo " ❌ Health FAILED"
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# 8. Récapitulatif
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echo ""
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echo "=========================================="
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echo "✅ INSTALLATION STT TERMINÉE !"
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echo "=========================================="
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echo ""
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echo "📊 Services actifs sur folzo-Corp :"
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echo " • TTS (openedai-speech) : http://localhost:8100"
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echo " • STT (speaches) : http://localhost:8200"
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echo ""
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echo "📝 Prochaines étapes :"
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echo " 1. Sur effi-server, configurer Open WebUI :"
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echo " Admin Panel → Settings → Audio"
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echo ""
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echo " STT :"
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echo " Engine : OpenAI"
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echo " URL : http://192.168.1.11:8200/v1"
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echo " Model : deepdml/faster-whisper-large-v3-turbo-ct2"
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echo ""
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echo " TTS :"
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echo " Engine : OpenAI"
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echo " URL : http://192.168.1.11:8100/v1"
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echo " Model : tts-1"
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echo " Voice : alloy (anglais) ou tts-1-hd + nova (si WAV dispo)"
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echo ""
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echo " 2. Tester dans Open WebUI avec le micro 🎤"
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echo ""
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echo "🔧 Commandes utiles :"
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echo " • Logs TTS : sudo docker logs -f openedai-speech"
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echo " • Logs STT : sudo docker logs -f speaches-stt"
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echo " • Restart : sudo docker compose -f ~/openedai-speech/docker-compose.yml restart"
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echo " sudo docker compose -f ~/speaches/docker-compose.yml restart"
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echo ""
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