Update app.py

app.py

@@ -228,7 +228,9 @@ def process_dataframe(df):
         # Transform categorical columns for prediction DataFrame using the label encoders.
         for col in ['Tag', 'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo', 'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen', 'EngPav']:
             try:
-                df_pred[col] = loaded_label_encoder[col].transform(df_pred[col])
+                encoder = loaded_label_encoder[col]
+                df_pred[col] = df_pred[col].map(lambda x: encoder.transform([x])[0] if x in encoder.classes_ else -1)
+                # df_pred[col] = loaded_label_encoder[col].transform(df_pred[col])
             except ValueError as e:
                 print(f'Invalid value in column {col}: {e}', 'error')
                 return pd.DataFrame(), pd.DataFrame()