Update app.py

app.py

@@ -294,8 +294,13 @@ def process_dataframe(df):
             df_pred_2['Makable_Predicted'] = pd.DataFrame(np.expm1(makable_model_2.predict(df_pred_2)), columns=["Predicted"])
             print(df_pred_2.columns)
 
-            df_pred_main = pd.concat([df_pred_0, df_pred_1, df_pred_2])
+            # Concatenate the DataFrames row-wise
+            df_pred_main = pd.concat([df_pred_0, df_pred_1, df_pred_2], ignore_index=True)
+
+            # df_pred_main = pd.concat([df_pred_0, df_pred_1, df_pred_2])
+            print("df_pred_main------------->", df_pred_main.columns)
             df_pred_main['Makable_Diff'] = df_pred_main['EngAmt'] - df_pred_main['Makable_Predicted']
+            print("df_pred_main------------->", df_pred_main.columns)
 
             # 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("-")