Update app.py

app.py

@@ -222,7 +222,7 @@ def process_dataframe(df):
         # Create two DataFrames: one for prediction and one for classification.
         df_pred = df[required_columns].copy()
         #df_pred = df_pred[(df_pred[['EngCts']] > 0.99).all(axis=1) & (df_pred[['EngCts']] < 1.50).all(axis=1)] 
-        df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']]=df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']].fillna("-")
+        df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']]=df_pred[['EngBlk', 'EngWht', 'EngOpen', 'EngPav']].fillna("NA")
         df_class = df[required_columns_2].fillna("NA").copy()
         
         # Transform categorical columns for prediction DataFrame using the label encoders.