Update app.py

app.py

@@ -379,7 +379,7 @@ def predict(x, request: gr.Request):
             round(y_ys*(maximum_ys-minimum_ys)+minimum_ys, 2), 12)
 
 def fit_outputs_constraints(X, antimicrobial_activity_target, request: gr.Request):
-    reduction_target = 100 - antimicrobial_activity_target
+    reduction_target = 100 - int(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)
     predictions = model.predict(X)[0]