66 lines
1.6 KiB
YAML
66 lines
1.6 KiB
YAML
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version: '3.8'
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services:
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brainy-app:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "3000:3000"
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environment:
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# Set custom models path for Brainy
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- BRAINY_MODELS_PATH=/app/models
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# Optional: Set other Brainy configuration
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- NODE_ENV=production
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volumes:
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# Optional: Mount models from host (alternative to embedding in image)
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# - ./models:/app/models:ro
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- ./logs:/app/logs
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restart: unless-stopped
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deploy:
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resources:
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limits:
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cpus: '1.0'
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memory: 2G
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reservations:
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cpus: '0.5'
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memory: 1G
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# Alternative: Mount models from a separate volume
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brainy-app-with-volume:
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build:
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context: .
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dockerfile: Dockerfile
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ports:
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- "3001:3000"
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environment:
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- BRAINY_MODELS_PATH=/models
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- NODE_ENV=production
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volumes:
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# Mount models from external volume
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- brainy-models:/models:ro
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- ./logs:/app/logs
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restart: unless-stopped
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depends_on:
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- model-downloader
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# Service to download and prepare models
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model-downloader:
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image: node:24-alpine
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volumes:
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- brainy-models:/models
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command: >
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sh -c "
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if [ ! -f /models/universal-sentence-encoder/model.json ]; then
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echo 'Downloading Universal Sentence Encoder models...';
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mkdir -p /models/universal-sentence-encoder;
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# Add your model download logic here
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echo 'Models would be downloaded here in a real setup';
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else
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echo 'Models already exist';
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fi
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"
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volumes:
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brainy-models:
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driver: local
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