Update app.py

app.py

@@ -164,11 +164,11 @@ def predict_inverse(hardness_target, ys_target, formula, request: gr.Request):
             if c == continuous_variables[0]:
                 domain_density = (fixed_density-scaling_factors[c][0])/(
                     scaling_factors[c][1]-scaling_factors[c][0])
-                domain.append({'name': str(c), 'type': 'continuous', 'domain': (domain_density)})#(0.,1.)})
+                domain.append({'name': str(c), 'type': 'continuous', 'domain': (domain_density, domain_density)})#(0.,1.)})
             else:
                 domain_ym = (fixed_ym-scaling_factors[c][0])/(
                     scaling_factors[c][1]-scaling_factors[c][0])
-                domain.append({'name': str(c), 'type': 'continuous', 'domain': (domain_ym)})#(0.,1.)})
+                domain.append({'name': str(c), 'type': 'continuous', 'domain': (domain_ym, domain_ym)})#(0.,1.)})
         else:
             domain.append({'name': str(c), 'type': 'discrete', 'domain': (0,1)})