Update app.py

app.py

@@ -378,7 +378,7 @@ def predict(x, request: gr.Request):
     return (round(y_hardness*(maximum_hardness-minimum_hardness)+minimum_hardness, 2), 12,
             round(y_ys*(maximum_ys-minimum_ys)+minimum_ys, 2), 12)
 
-def fit_outputs_constraints(X, antimicrobial_activity_target):
+def fit_outputs_constraints(X, antimicrobial_activity_target, request: gr.Request):
     reduction_target = 100 - antimicrobial_activity_target
     reduction_target_df = pd.DataFrame({'Reduction_%':[reduction_target]})
     reduction_target_df = scale_numerical(reduction_target_df, ['Reduction_%'], scaler=minmax_scaler_targets, fit=False)