Update app.py

app.py

@@ -96,7 +96,7 @@ 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, hardness_target, ys_target, metals_to_use, request: gr.Request):
+def fit_outputs_constraints(x, hardness_target, ys_target, request: gr.Request):
     predictions = predict(x, request)
     error_hardness = np.sqrt(np.square(predictions[0]-float(hardness_target)))
     error_ys = np.sqrt(np.square(predictions[2]-float(ys_target)))