Update app.py

app.py

@@ -158,7 +158,7 @@ def predict_inverse(hardness_original_target, ys_original_target, request: gr.Re
         constraints.append({'name': constraint + "-1", 'constraint': '-1*(' + sum_string + ')+1'})
 
 
-    def fit_outputs(x, request):
+    def fit_outputs(x):
         return fit_outputs_constraints(x, hardness_target, ys_target, request)
 
     opt = GPyOpt.methods.BayesianOptimization(f = fit_outputs,            # function to optimize