update app.py

app.py

@@ -30,12 +30,10 @@ class AvgRatingTransformer:
         Xt = np.zeros_like(X, dtype=int)
         if mask_non_zero.any():
             Xt[mask_non_zero] = self.est.transform(X[mask_non_zero].reshape(-1,1)).flatten() + 1
-        # Appliquer le mapping
         X_transformed = np.array([self.class_mapping.get(v, "MissedInfo") for v in Xt])
         return X_transformed
 
 
-
 # -------- Charger les objets sauvegardés --------
 # Music
 scaler_samplerate_music = joblib.load("music/scaler_music_samplerate.joblib")