Delete models​​​/anomaly.py

models​​​/anomaly.py

@@ -1,25 +0,0 @@
-import pandas as pd
-from transformers import pipeline
-import logging
-
-logger = logging.getLogger(__name__)
-
-def detect_anomalies(df):
-    """Detect anomalies in log data using a Hugging Face model."""
-    logger.info("Detecting anomalies...")
-    try:
-        detector = pipeline(
-            "text-classification",
-            model="prajjwal1/bert-tiny",
-            tokenizer="prajjwal1/bert-tiny",
-            clean_up_tokenization_spaces=True
-        )
-        df["text"] = df["status"] + " Usage:" + df["usage_count"].astype(str)
-        results = detector(df["text"].tolist())
-        df["anomaly"] = [r["label"] for r in results]
-        anomalies = df[df["anomaly"] == "POSITIVE"]
-        logger.info(f"Detected {len(anomalies)} anomalies.")
-        return anomalies
-    except Exception as e:
-        logger.error(f"Failed to detect anomalies: {e}")
-        raise