09145206d2
Prevents PyTorch/Docling pipeline crashes on HF Spaces CPU by: - Reducing max file size from 50 MB to 5 MB - Adding configurable MAX_PAGE_COUNT setting (env var, default unlimited) - Increasing conversion timeout from 600s to 900s - Adding frontend upload validation with explicit error messages - Exposing maxPageCount via /api/health for dynamic UI hints
35 lines
1.1 KiB
Text
35 lines
1.1 KiB
Text
# Docker Compose build target: "local" or "remote" (selects Dockerfile target)
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# CONVERSION_MODE=local
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# Conversion engine: "local" (in-process Docling) or "remote" (Docling Serve)
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# Set automatically by the Docker target — override only for local dev
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# CONVERSION_ENGINE=local
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# Docling Serve settings (remote mode only)
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# DOCLING_SERVE_URL=http://localhost:5001
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# DOCLING_SERVE_API_KEY=
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# Max seconds per conversion (default: 900)
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# CONVERSION_TIMEOUT=900
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# Max parallel analysis jobs (default: 3)
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# MAX_CONCURRENT_ANALYSES=3
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# Max pages per PDF (default: 0 = unlimited). Set to 20 for HF Spaces.
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# MAX_PAGE_COUNT=0
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# Deployment mode: "self-hosted" (default) or "huggingface"
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# Shows disclaimer banner when set to "huggingface"
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# DEPLOYMENT_MODE=self-hosted
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# Application version (set automatically by CI/Docker build)
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# APP_VERSION=dev
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# CORS (comma-separated origins, only needed for custom deployments)
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# CORS_ORIGINS=http://localhost:3000,https://your-domain.com
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# File storage path (inside container)
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# UPLOAD_DIR=./uploads
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# Database path (inside container)
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# DB_PATH=./data/docling_studio.db
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