Update app.py

app.py

@@ -286,6 +286,13 @@ def process_dataframe(df):
             df_pred['Grade_Diff'] = df_pred['EngAmt'] - df_pred['Grade_Predicted']
             df_pred['ByGrade_Diff'] = df_pred['EngAmt'] - df_pred['ByGrade_Predicted']
             df_pred['Makable_Diff'] = df_pred['EngAmt'] - df_pred['Makable_Predicted']
+            
+            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].inverse_transform(df_pred[col])
+                except ValueError as e:
+                    print(f'inverse transform fails value in column {col}: {e}', 'error')
+                    
         except ValueError as e:
             print(f'pred model error----->: {e}', 'error')
         
@@ -347,7 +354,7 @@ def process_dataframe(df):
         dx['Change_Pav_Eng_to_Gia_value'] = loaded_label_encoder['Change_Pav_Eng_to_Gia_value'].inverse_transform(dx['Change_Pav_Eng_to_Gia_value'])
         
         # Final return with full data for pagination.
-        return df_pred, df_pred
+        return df_pred, dx.head(len(df_pred))
     except Exception as e:
         print(f'Error processing file: {e}', 'error')
         return pd.DataFrame(), pd.DataFrame()