Upload src/poster_sentry/__init__.py with huggingface_hub
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src/poster_sentry/__init__.py
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"""
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PosterSentry — Multimodal Scientific Poster Classifier
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=======================================================
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Classifies PDFs as scientific posters vs. non-posters using both
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text embeddings (model2vec) and visual features (image analysis).
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Trained on 30K+ real scientific posters from Zenodo and Figshare
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via the posters.science initiative at FAIR Data Innovations Hub.
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Usage:
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from poster_sentry import PosterSentry
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sentry = PosterSentry()
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sentry.initialize()
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result = sentry.classify("document.pdf")
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# {'is_poster': True, 'confidence': 0.97, 'text_score': 0.95, 'visual_score': 0.99}
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"""
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from .classifier import PosterSentry
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from .features import VisualFeatureExtractor, PDFStructuralExtractor
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__version__ = "0.1.0"
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__all__ = ["PosterSentry", "VisualFeatureExtractor", "PDFStructuralExtractor"]
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