Update app.py

app.py

@@ -135,8 +135,10 @@ def predict_from_tuple(in1, in2, in3, in4, in5, request: gr.Request):
     print("One hot columns are ", one_hot.columns)
     return predict(one_hot, request)
 
+hardness_target  = 1
+ys_target = 2
 
-def fit_outputs(x, hardness_target, ys_target):
+def fit_outputs(x):
     predictions = predict(x)
     error_hardness = np.sqrt(np.square(predictions[0]-hardness_target))
     error_ys = np.sqrt(np.square(predictions[2]-ys_target))
@@ -144,7 +146,7 @@ def fit_outputs(x, hardness_target, ys_target):
     return error_hardness + error_ys
 
 
-def predict_inverse(target_hardness, target_yield_strength, request: gr.Request):
+def predict_inverse(one_hot, request: gr.Request):
 
     continuous_variables = ['PROPERTY: Calculated Density (g/cm$^3$)',
                          'PROPERTY: Calculated Young modulus (GPa)']