Update app.py

app.py

@@ -134,7 +134,15 @@ def predict_from_tuple(in1, in2, in3, in4, in5, request: gr.Request):
     one_hot = utils.turn_into_one_hot(input_df, input_mapping)
     print("One hot columns are ", one_hot.columns)
     return predict(one_hot, request)
-    
+
+
+def fit_outputs(x, hardness_target, ys_target):
+    predictions = predict(x)
+    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)
+    return error_hardness + error_ys
+
 
 def predict_inverse(target_hardness, target_yield_strength, request: gr.Request):