Update app.py

app.py

@@ -192,7 +192,7 @@ def predict_inverse(hardness_target, ys_target, request: gr.Request):
         [el['name'] for el in domain],
         [[x] for x in x_best]))
     optimized_x = pd.DataFrame.from_dict(best_params)
-    plot = utils.interpret(optimized_x)
+    plot = utils.interpret(np.asarray(optimized_x))
     #for c in optimized_x.columns:
      #   if c in continuous_variables:
       #      optimized_x[c]=optimized_x[c]*(scaling_factors[c][1]-scaling_factors[c][0])+scaling_factors[c][0]