Update app.py

app.py

@@ -315,7 +315,7 @@ def predict_xlsx(file):
     file_open.to_csv(file_name)
     return file_name
 
-def get_data_from_smile(smile):
+def get_data_from_smile_compare(smile):
     x_PE = np.array([[0, 1, 0, 0, 0], [0.333333, 0.666667, 0, 0, 0], [0.5, 0.5, 0, 0, 0],
                          [0.75, 0.25, 0, 0, 0], [0.833333, 0.166667, 0, 0, 0], [0.952381, 0.047619, 0, 0, 0],
                          [0.980392, 0.019608, 0, 0, 0], [1, 0, 0, 0, 0]], dtype=np.float32)
@@ -372,8 +372,8 @@ def convert_fig_PIL(fig):
 def predict_compare(smile_1,smile_2):
     config = parse_args()
     config.add_dipole = False
-    X_test_PE_1,X_test_Et_1,X_test_ME_1=get_data_from_smile(smile_1)
-    X_test_PE_2,X_test_Et_2,X_test_ME_2=get_data_from_smile(smile_2)
+    X_test_PE_1,X_test_Et_1,X_test_ME_1=get_data_from_smile_compare(smile_1)
+    X_test_PE_2,X_test_Et_2,X_test_ME_2=get_data_from_smile_compare(smile_2)
     Rf_all=[]
     for x_test in [X_test_PE_1,X_test_Et_1,X_test_ME_1,X_test_PE_2,X_test_Et_2,X_test_ME_2]:
         Model = Model_ML(config,x_test)