feat(infra): production deployment pipeline — Caddy, staging, Gitea Actions (#497) #499
@@ -121,8 +121,10 @@ services:
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- "8000"
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# Surya OCR loads ~5GB of transformer models at startup; first request
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# triggers a further ~1GB Kraken model download into ocr-cache.
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mem_limit: 12g
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memswap_limit: 12g
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# CX42+ (16 GB RAM) honours the default. On a CX32 (8 GB) override with
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# OCR_MEM_LIMIT=6g (slower first-request, fits the host).
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mem_limit: ${OCR_MEM_LIMIT:-12g}
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memswap_limit: ${OCR_MEM_LIMIT:-12g}
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volumes:
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- ocr-models:/app/models
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- ocr-cache:/root/.cache
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