chagu-dev / rag_sec /bad_query_detector.py
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from transformers import pipeline
class BadQueryDetector:
def __init__(self):
self.detector = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
def is_bad_query(self, query):
result = self.detector(query)[0]
label = result["label"]
score = result["score"]
if label == "NEGATIVE" and score > 0.8:
print(f"Detected malicious query with high confidence ({score:.4f}): {query}")
return True
return False