Changing the model to de-duped

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 import joblib, numpy as np, torch, transformers
 
 # ── load artefacts once ───────────────────────────────────────────────
-rf       = joblib.load("models/ovr_rf_bge.joblib")
-thr      = np.load("models/thresholds_bge.npy")
+rf       = joblib.load("models/RandomForest_tfidf_pipe.joblib")
+thr      = np.load("models/RandomForest_tfidf_thresh.npy")
 mlb      = joblib.load("models/mlb.joblib")
 
 embedder  = transformers.AutoModel.from_pretrained(