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Update rag.py
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rag.py
CHANGED
@@ -85,7 +85,7 @@ def get_best_answer(user_input):
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user_input_lower = user_input.lower().strip()
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# 👉 Check if question is about fee
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if any(keyword in user_input_lower for keyword in ["fee", "fees", "
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return (
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"💰 For complete and up-to-date fee details for this program, we recommend visiting the official University of Education fee structure page.\n"
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"You’ll find comprehensive information regarding tuition, admission charges, and other applicable fees there.\n"
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@@ -98,6 +98,10 @@ def get_best_answer(user_input):
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best_match_idx = similarities.argmax().item()
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best_score = similarities[best_match_idx].item()
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if best_score >= 0.65:
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original_answer = dataset_answers[best_match_idx]
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prompt = f"""As an official assistant for University of Education Lahore, provide a clear response:
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user_input_lower = user_input.lower().strip()
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# 👉 Check if question is about fee
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if any(keyword in user_input_lower for keyword in ["fee structure", "fees structure", "semester fees", "semester fee"]):
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return (
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"💰 For complete and up-to-date fee details for this program, we recommend visiting the official University of Education fee structure page.\n"
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"You’ll find comprehensive information regarding tuition, admission charges, and other applicable fees there.\n"
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best_match_idx = similarities.argmax().item()
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best_score = similarities[best_match_idx].item()
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# 3. Save unmatched queries (threshold = 0.65)
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if best_score < 0.65:
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manage_unmatched_queries(user_input)
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if best_score >= 0.65:
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original_answer = dataset_answers[best_match_idx]
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prompt = f"""As an official assistant for University of Education Lahore, provide a clear response:
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