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Upload model/intent_classifier.py
Browse files- intent_classifier.py +11 -0
intent_classifier.py
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from transformers import pipeline
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from config import MODEL_NAME, INTENT_LABELS
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# Load zero-shot classification pipeline
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classifier = pipeline("zero-shot-classification", model=MODEL_NAME)
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def classify_conversation(conversation_text):
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result = classifier(conversation_text, INTENT_LABELS)
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top_label = result['labels'][0]
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rationale = f"Conversation was classified as '{top_label}' because the final messages indicate a likely intent of {top_label.lower()}."
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return top_label, rationale
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