Update app.py

app.py

@@ -377,7 +377,7 @@ def predict_inverse(antimicrobial_activity_target, substrate, microorganism, num
                     domain.append({'name': str(one_hot_column), 'type': 'categorical', 'domain': (0.0, 0.0)})
         elif df_column == 'Washing_cycles':
             washing_cycles_target_df = pd.DataFrame([[0]*len(numerical_columns)], columns=numerical_columns)
-            washing_cycles_target_df.iloc[0, 'Washing_cycles'] = int(num_washing_cycles)
+            washing_cycles_target_df['Washing_cycles'].iloc[0] = int(num_washing_cycles)
             washing_cycles_target_df = scale_numerical(washing_cycles_target_df, numerical_columns, scaler=minmax_scaler_inputs, fit=False)
             domain.append({'name': str(df_column), 'type': 'continuous', 'domain': (washing_cycles_target_df["Washing_cycles"],
                                                                                     washing_cycles_target_df["Washing_cycles"])})