Update app.py

app.py

@@ -420,7 +420,14 @@ def predict_inverse(antimicrobial_activity_target, substrate, microorganism, num
         if column in one_hot_mapping:
             optimized_x.loc[0, column] = one_hot_mapping[column][int(optimized_x.loc[0, column])]
 
-    return optimized_x
+    'Binder', 'NMs_Type', 'Primary_Size (nm)', 'NM-Shape', 'Substrate',
+              'Microorganism ', 'Duration (h)', 'Washing_cycles', 'Reduction_%',
+              'Concetration (µg/mL)', 'NPs_Synthesis_method', 'Application method\n',
+              'Evalutation_Standard', 'Evalutation_Method', 'Durability test',
+              'Washing_Detergent', 'Washing_Temp'
+    return (optimized_x['NMs_Type'].iloc[0], optimized_x['Primary_Size3 (nm)'].iloc[0], optimized_x['NM-Shape'].iloc[0], 
+            optimized_x['Washing_cycles'].iloc[0], optimized_x['Concetration (µg/mL)'].iloc[0], optimized_x['NPs_Synthesis_method'].iloc[0], 
+            optimized_x['Application method\n'].iloc[0], optimized_x['Washing_Detergent'].iloc[0], optimized_x['Washing_Temp'].iloc[0])
 
 
 example_inputs = [80, "Substrate_Bamboo", "Microorganism _Alt_brassicicola", 50]