oval
33997778f6
- Add .gitignore excluding .env, __pycache__, test_files (copyrighted PDFs), session logs, marker/ submodule, and other generated/private files - Add .env with local config (gitignored); expand .env.example with all supported environment variables - docker-compose.yml: all hardcoded values now use default pattern - Containerfile: install marker-pdf from GitHub instead of local submodule; fix AMD_COMPUTE default to false; sanitize default OLLAMA_HOST - Remove marker/ submodule from git tracking (keep local checkout via .gitignore) - Remove session transcript and copyrighted ENISA PDFs from git tracking - Sanitize local IPs in README, kubernetes deployment, deploy-podman.sh - Fix hardcoded paths in convert_both.py and compare_conversions.py - Update requirements.txt to reference GitHub instead of local --editable
68 lines
2.2 KiB
Bash
68 lines
2.2 KiB
Bash
# ============== ENVIRONMENT VARIABLES for marker-api ========================
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#
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# Copy to .env and edit as needed:
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# cp .env.example .env
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#
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# All variables can also be passed via K8s ConfigMap/Secret,
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# podman --env, or docker-compose environment.
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# -----------------------------------
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# Authentication
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# -----------------------------------
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API_KEY= # API key for X-API-Key auth (empty = disabled)
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SELF_URL=http://localhost:8001 # Public URL for file download/upload links
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# -----------------------------------
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# OCR Backend
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# -----------------------------------
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OCR_BACKEND=marker # "marker" (marker-pdf) or "deepseek" (deepseek-ocr via ollama)
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# -----------------------------------
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# DeepSeek OCR (via Ollama)
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# -----------------------------------
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DEEPSEEK_OLLAMA_HOST=http://localhost:11434
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DEEPSEEK_OCR_MODEL=deepseek-ocr:latest
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DEEPSEEK_OCR_PROMPT=<|grounding|>Free OCR.
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# -----------------------------------
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# Ollama (LLM correction)
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# -----------------------------------
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OLLAMA_HOST=http://localhost:11434
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DEESEEK_OCR_MODEL=deepseek-ocr
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USE_LLM=false # Use an LLM to improve conversion accuracy
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LLM_SERVICE=marker.services.ollama.OllamaService
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OPENAI_BASE_URL= # For OpenAI-compatible LLM API
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OPENAI_API_KEY= # API key for OpenAI-compatible service
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OPENAI_MODEL= # Model name for OpenAI-compatible service
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# -----------------------------------
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# AMD GPU (set to true on AMD/ROCm systems)
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# -----------------------------------
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AMD_COMPUTE=false # set to "true" to enable ROCm
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TORCH_DEVICE= # override PyTorch device ("rocm", "cuda", "cpu")
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MODEL_DTYPE=float32 # "float32" or "bfloat16" (bfloat16 on capable GPUs)
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# -----------------------------------
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# Application
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# -----------------------------------
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PORT=8001
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HOST=0.0.0.0
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FLASK_APP=app
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FLASK_DEBUG=0
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# -----------------------------------
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# Gunicorn (production)
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# -----------------------------------
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GUNICORN_WORKERS=3
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GUNICORN_THREADS=4
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GUNICORN_TIMEOUT=600
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GUNICORN_LOGLEVEL=info
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# -----------------------------------
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# Paths
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# -----------------------------------
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RESULTS_DIR=/app/conversion_results
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UPLOAD_DIR=/app/uploads
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