Update app.py

app.py

@@ -296,7 +296,7 @@ def process_dataframe(df):
             df_pred_main['Makable_Diff'] = df_pred_main['EngAmt'] - df_pred_main['Makable_Predicted']
 
             # Fill NaN or missing values in prediction columns
-            df_pred_main[['change_in_amt_mkble', 'Makable_Predicted', 'Makable_Diff']] = df_pred_main[['change_in_amt_mkble', 'Makable_Predicted', 'Makable_Diff']].fillna("-")
+            # df_pred_main[['change_in_amt_mkble', 'Makable_Predicted', 'Makable_Diff']] = df_pred_main[['change_in_amt_mkble', 'Makable_Predicted', 'Makable_Diff']].fillna("-")
             
             for col in ['Tag', 'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo', 'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen', 'EngPav']:
                 try:
@@ -308,9 +308,9 @@ def process_dataframe(df):
             print(f'pred model error----->: {e}', 'error')
            
         # Final return with full data for pagination.
-        # # Final step to replace NaN or empty values with "-"
-        # df_pred_main = df_pred.fillna("-")
-        # df_pred_main = df_pred.replace(r'^\s*$', "-", regex=True)
+        # Final step to replace NaN or empty values with "-"
+        df_pred_main = df_pred.fillna("-")
+        df_pred_main = df_pred.replace(r'^\s*$', "-", regex=True)
         return df_pred_main, df_pred_main     
     except Exception as e:
         print(f'Error processing file: {e}', 'error')