Update app.py

app.py

@@ -301,11 +301,13 @@ def process_dataframe(df):
             #df_pred['GIA_Predicted'] = pd.DataFrame(np.expm1(gia_model.predict(x)), columns=["Predicted"])
             #df_pred['Grade_Predicted'] = pd.DataFrame(np.expm1(grade_model.predict(x)), columns=["Predicted"])
             #df_pred['ByGrade_Predicted'] = pd.DataFrame(np.expm1(bygrade_model.predict(x)), columns=["Predicted"])
-            df_pred['change_in_amt_mkble'] = pd.DataFrame(mkble_amt_class_model.predict(x), columns=["pred_change_in_eng_to_mkble"])
+            #df_pred['change_in_amt_mkble'] = pd.DataFrame(mkble_amt_class_model.predict(x), columns=["pred_change_in_eng_to_mkble"])
             #print(df_pred.columns)
             df_pred = df_pred[['Tag', 'EngCts', 'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol',
                                'EngSym', 'EngFlo', 'EngNts', 'EngMikly', 'EngBlk', 'EngWht', 'EngOpen',
-                               'EngPav', 'EngAmt', 'change_in_amt_mkble']]
+                               'EngPav', 'EngAmt', 
+                               #'change_in_amt_mkble'
+                              ]]
             df_pred['Makable_Predicted'] = pd.DataFrame(np.expm1(makable_model.predict(df_pred)), columns=["Predicted"])
             print(df_pred.columns)
             #df_pred['GIA_Diff'] = df_pred['EngAmt'] - df_pred['GIA_Predicted']