Update app.py

app.py

@@ -179,6 +179,7 @@ def predict_inverse(hardness_original_target, ys_original_target, request: gr.Re
             if c in ['PROPERTY: Calculated Density (g/cm$^3$)', 'PROPERTY: Calculated Young modulus (GPa)']:
                 optimized_x[c]=optimized_x[c]*(scaling_factors[c][1]-scaling_factors[c][0])+scaling_factors[c][0]
     result = optimized_x
+    result = result[result>0.0].dropna(axis=1)
 
     # Normalize metals outputs
     sum_metals = np.sum(result[c] for c in list(result. columns) if c.startswith("PROPERTY: Metal"))