Update app.py

app.py

@@ -173,9 +173,9 @@ print("================================")
 encoder_list = [
     'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo',
     'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
-    'Change_cts_value', 'Change_shape_value', 'Change_quality_value', 'Change_color_value',
-    'Change_cut_value', 'Change_Blk_Eng_to_Mkbl_value', 'Change_Wht_Eng_to_Mkbl_value',
-    'Change_Open_Eng_to_Mkbl_value', 'Change_Pav_Eng_to_Mkbl_value_2', 'Change_Blk_Eng_to_Grd_value_2',
+    'Change_cts_value_v2', 'Change_shape_value_v2', 'Change_quality_value_v2', 'Change_color_value_v2',
+    'Change_cut_value_v2', 'Change_Blk_Eng_to_Mkbl_value_v2', 'Change_Wht_Eng_to_Mkbl_value_v2',
+    'Change_Open_Eng_to_Mkbl_value_2', 'Change_Pav_Eng_to_Mkbl_value_2', 'Change_Blk_Eng_to_Grd_value_2',
     'Change_Wht_Eng_to_Grd_value_2', 'Change_Open_Eng_to_Grd_value_2', 'Change_Pav_Eng_to_Grd_value_2',
     'Change_Blk_Eng_to_ByGrd_value_2', 'Change_Wht_Eng_to_ByGrd_value_2', 'Change_Open_Eng_to_ByGrd_value_2',
     'Change_Pav_Eng_to_ByGrd_value_2', 'Change_Blk_Eng_to_Gia_value_2', 'Change_Wht_Eng_to_Gia_value_2',
@@ -306,19 +306,19 @@ def process_dataframe(df):
             print(df_pred_0.columns)
 
             # for model SHP CODE (need change)
-            df_pred_0['Change_shape_value'] = pd.DataFrame(shape_change.predict(df_class), columns=["Change_shape_value"])
+            df_pred_0['Change_shape_value_v2'] = pd.DataFrame(shape_change.predict(df_class), columns=["Change_shape_value_v2"])
             print(df_pred_0.columns)
 
             # for model COL CODE (need change)
-            df_pred_0['Change_color_value'] = pd.DataFrame(col_change.predict(df_class), columns=["Change_color_value"])
+            df_pred_0['Change_color_value_v2'] = pd.DataFrame(col_change.predict(df_class), columns=["Change_color_value_v2"])
             print(df_pred_0.columns)
 
             # for model CUT CODE (need change)
-            df_pred_0['Change_cut_value'] = pd.DataFrame(cut_change.predict(df_class), columns=["Change_cut_value"])
+            df_pred_0['Change_cut_value_v2'] = pd.DataFrame(cut_change.predict(df_class), columns=["Change_cut_value_v2"])
             print(df_pred_0.columns)
 
             # for model QUA CODE (need change)
-            df_pred_0['Change_quality_value'] = pd.DataFrame(qua_change.predict(df_class), columns=["Change_quality_value"])
+            df_pred_0['Change_quality_value_v2'] = pd.DataFrame(qua_change.predict(df_class), columns=["Change_quality_value_v2"])
             print(df_pred_0.columns)            
             
             # Concatenate the DataFrames row-wise
@@ -327,8 +327,8 @@ def process_dataframe(df):
     
             for col in ['EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo',
                         'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
-                        'Change_shape_value','Change_quality_value', 'Change_color_value', 'Change_cut_value',
-                        #'Change_cts_value',
+                        'Change_shape_value_v2','Change_quality_value_v2', 'Change_color_value_v2', 'Change_cut_value_v2',
+                        #'Change_cts_value_v2',
                         'Change_Blk_Eng_to_Mkbl_value_2', 
                         'Change_Wht_Eng_to_Mkbl_value_2',
                         'Change_Open_Eng_to_Mkbl_value_2',