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requirements.txt
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langfuse>=3.5,<4
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#
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google-
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duckdb>=1.0,<2
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pyarrow==17.0.0
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joblib==1.4.2
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# --- Core UI & utilities ---
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gradio>=4.44,<5
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jinja2>=3.1,<4
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python-dotenv>=1.0,<2
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# --- Data & plotting ---
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pandas>=2.2,<3
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numpy>=1.26,<2
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matplotlib>=3.8,<4
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pyarrow>=14,<20
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# --- ML stack (tabular + explainability) ---
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scikit-learn>=1.4,<2
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joblib>=1.3,<2
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xgboost>=2.0,<3
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lightgbm>=4.3,<5
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shap>=0.45,<0.47
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# --- Hugging Face artifacts & (optional) tiny LLM orchestrator ---
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huggingface_hub>=0.24,<0.26
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transformers>=4.41,<5
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accelerate>=0.28,<0.36
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# (Optional — comment these two if you don't use the tiny LLM orchestrator.)
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# --- Tracing (optional) ---
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langfuse>=3.5,<4
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# --- Warehouses (choose one; both can coexist) ---
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# BigQuery
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google-cloud-bigquery>=3.20,<4
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google-auth>=2.30,<3
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# MotherDuck via DuckDB extension (no 'motherduck' pip needed)
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duckdb>=1.0,<2
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