Update app.py

app.py

@@ -298,11 +298,11 @@ def process_dataframe(df):
             print(df_pred_0.columns)
 
             # for model PAV CODE (need change)
-            df_pred_0['Change_Pav_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value"])
+            df_pred_0['Change_Pav_Eng_to_Mkbl_value'] = pd.DataFrame(pav_change.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value"])
             print(df_pred_0.columns)
 
             # for model OPEN CODE  (need change)
-            df_pred_0['Change_Open_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value"])
+            df_pred_0['Change_Open_Eng_to_Mkbl_value'] = pd.DataFrame(open_change.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value"])
             print(df_pred_0.columns)
 
             # for model SHP CODE (need change)
@@ -310,15 +310,15 @@ def process_dataframe(df):
             print(df_pred_0.columns)
 
             # for model COL CODE (need change)
-            df_pred_0['Change_color_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_class), columns=["Change_color_value"])
+            df_pred_0['Change_color_value'] = pd.DataFrame(col_change.predict(df_class), columns=["Change_color_value"])
             print(df_pred_0.columns)
 
             # for model CUT CODE (need change)
-            df_pred_0['Change_cut_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_class), columns=["Change_cut_value"])
+            df_pred_0['Change_cut_value'] = pd.DataFrame(cut_change.predict(df_class), columns=["Change_cut_value"])
             print(df_pred_0.columns)
 
             # for model QUA CODE (need change)
-            df_pred_0['Change_quality_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_class), columns=["Change_quality_value"])
+            df_pred_0['Change_quality_value'] = pd.DataFrame(qua_change.predict(df_class), columns=["Change_quality_value"])
             print(df_pred_0.columns)            
             
             # Concatenate the DataFrames row-wise