Update app.py

app.py

@@ -290,11 +290,11 @@ def process_dataframe(df):
         # -------------------------
         x2 = df_class.copy()
         dx = df_pred.copy()  # Start with the prediction data.
-        dx['col_change'] = col_model.predict(x)
-        dx['cts_change'] = cts_model.predict(x)
-        dx['cut_change'] = cut_model.predict(x)
-        dx['qua_change'] = qua_model.predict(x)
-        dx['shp_change'] = shp_model.predict(x)
+        dx['col_change'] = col_model.predict(x2)
+        dx['cts_change'] = cts_model.predict(x2)
+        dx['cut_change'] = cut_model.predict(x2)
+        dx['qua_change'] = qua_model.predict(x2)
+        dx['shp_change'] = shp_model.predict(x2)
         dx['Change_Blk_Eng_to_Mkbl_value'] = blk_eng_to_mkbl_model.predict(x)
         dx['Change_Wht_Eng_to_Mkbl_value'] = wht_eng_to_mkbl_model.predict(x)
         dx['Change_Open_Eng_to_Mkbl_value'] = open_eng_to_mkbl_model.predict(x)