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+ # Core dependencies for RadEval
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+ gradio>=4.0.0
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+ torch>=1.9.0
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+ transformers>=4.20.0
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+ datasets>=2.0.0
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+ pandas>=1.3.0
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+ numpy>=1.21.0
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+ scikit-learn>=1.0.0
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+ tqdm>=4.62.0
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+
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+ # NLP and evaluation libraries
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+ nltk>=3.7
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+ rouge-score>=0.1.0
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+ bert-score>=0.3.11
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+ evaluate>=0.4.0
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+
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+ # Radiology-specific dependencies
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+ stanza>=1.4.0
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+ spacy>=3.4.0
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+
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+ # Additional utilities
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+ matplotlib>=3.5.0
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+ seaborn>=0.11.0
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+ plotly>=5.0.0
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+
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+ # Optional: For better performance
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+ accelerate>=0.20.0
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+ tokenizers>=0.13.0
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+
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+ # For specific RadEval components (if available on PyPI)
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+ # Note: Some components may need to be installed separately
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+ rouge>=1.0.0