92 lines
2.1 KiB
YAML
92 lines
2.1 KiB
YAML
version: '3.8'
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services:
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# --- LE PORTIER ---
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gateway:
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image: nginx:latest
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container_name: studio-gateway-1
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ports:
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- "80:80"
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volumes:
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- ./nginx/default.conf:/etc/nginx/conf.d/default.conf
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networks:
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- studio-net
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# On attend que l'interface ET l'audio soient en état "Healthy"
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depends_on:
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open-webui:
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condition: service_healthy
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audio-api:
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condition: service_started
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restart: always
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# --- L'INTERFACE (Open WebUI) ---
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open-webui:
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image: ghcr.io/open-webui/open-webui:main
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container_name: open-webui
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environment:
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- OLLAMA_BASE_URL=http://ollama:11434
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- WEBUI_SECRET_KEY=${WEBUI_SECRET_KEY:-supersecretkey}
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volumes:
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- webui_data:/app/backend/data
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networks:
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- studio-net
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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restart: always
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# --- LE CERVEAU (Ollama) ---
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ollama:
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image: ollama/ollama:latest
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container_name: ollama
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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volumes:
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- ollama_data:/root/.ollama
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networks:
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- studio-net
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restart: always
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# --- LE SERVICE AUDIO ---
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audio-api:
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image: nvcr.io/nvidia/pytorch:23.10-py3
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container_name: audio-api
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working_dir: /app
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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volumes:
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- ./services/audio-api:/app
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- ./models:/app/models
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- ./outputs:/app/outputs
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# Correction de la commande pour s'assurer que les dossiers existent
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command: >
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sh -c "mkdir -p models outputs &&
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pip install --no-cache-dir gradio faster-whisper &&
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python3 server.py"
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ports:
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- "7860:7860"
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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networks:
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- studio-net
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restart: always
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networks:
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studio-net:
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driver: bridge
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volumes:
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webui_data:
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ollama_data: |