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Update utils/risk_detector.py
Browse files- utils/risk_detector.py +19 -3
utils/risk_detector.py
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from transformers import pipeline
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classifier = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")
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labels = ["Indemnity", "Exclusivity", "Termination", "Jurisdiction", "Confidentiality"]
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def detect_risks(text):
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return []
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result = classifier(text[:1000], candidate_labels=labels, multi_label=True)
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return list(zip(result["labels"], result["scores"]))
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from transformers import pipeline
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# ⚖️ Load zero-shot classification model
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classifier = pipeline("zero-shot-classification", model="typeform/distilbert-base-uncased-mnli")
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# 🎯 Define risk-related labels
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labels = ["Indemnity", "Exclusivity", "Termination", "Jurisdiction", "Confidentiality"]
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def detect_risks(text, verbose=False):
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"""
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Classify clauses into predefined legal risk categories.
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If verbose=True, include detailed scores for each label.
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Returns:
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- List of (label, score) tuples (default)
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- Or dict of full model output if verbose
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"""
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if not text.strip():
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return []
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result = classifier(text[:1000], candidate_labels=labels, multi_label=True)
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if verbose:
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return {
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"sequence": result["sequence"],
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"predictions": list(zip(result["labels"], result["scores"]))
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}
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return list(zip(result["labels"], result["scores"]))
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