Upload requirements.txt
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requirements.txt
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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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# 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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# Radiology-specific dependencies
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stanza>=1.4.0
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spacy>=3.4.0
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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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# Optional: For better performance
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accelerate>=0.20.0
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tokenizers>=0.13.0
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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
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