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requirements.txt
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# Nuremberg Scholar — HuggingFace Space dependencies
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# Pinned to versions tested on SageMaker ml.g5.2xlarge (2026-03-11)
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# Gradio (SDK — version must match sdk_version in README YAML)
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gradio>=5.9.0
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# ZeroGPU decorator — only works on HF Spaces, ignored locally
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spaces
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# PyTorch — Spaces build provides CUDA runtime, we just need the package
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torch>=2.1.0
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# Transformers — BGE-M3 + bge-reranker-v2-m3
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transformers>=4.40.0
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# FAISS — CPU version (46K vectors is fast enough on CPU, saves VRAM)
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faiss-cpu
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# BGE-M3 sparse_linear.pt download via hf_hub_download
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huggingface_hub
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# Sparse index (CSR matrix)
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scipy
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# Array ops
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numpy
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# Groq LLM API
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groq
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