Update app.py

app.py

@@ -278,14 +278,14 @@ def process_dataframe(df):
         # -------------------------
         try:
             x = df_pred.copy()
-            df_pred['GIA_Predicted'] = pd.DataFrame(np.expm1(gia_model.predict(x)), columns=["Predicted"])
+            df_pred['Makable_Predicted'] = pd.DataFrame(np.expm1(makable_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['Makable_Predicted'] = pd.DataFrame(np.expm1(makable_model.predict(x)), columns=["Predicted"])
-            df_pred['GIA_Diff'] = df_pred['EngAmt'] - df_pred['GIA_Predicted']
-            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']
+            df_pred['GIA_Predicted'] = pd.DataFrame(np.expm1(gia_model.predict(x)), columns=["Predicted"])
+            #df_pred['GIA_Diff'] = df_pred['EngAmt'] - df_pred['GIA_Predicted']
+            #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: