Update app.py

app.py

@@ -138,9 +138,9 @@ def predict_from_tuple(in1, in2, in3, in4, in5, 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]-hardness_target))
-    error_ys = np.sqrt(np.square(predictions[2]-ys_target))
-    print(predictions, hardness_target, ys_target, error_hardness, error_ys)
+    error_hardness = np.sqrt(np.square(predictions[0]-float(hardness_target)))
+    error_ys = np.sqrt(np.square(predictions[2]-float(ys_target)))
+    print(predictions, float(hardness_target), float(ys_target), error_hardness, error_ys)
     return error_hardness + error_ys
 
 def predict_inverse(hardness_target, ys_target, request: gr.Request):