update app.py

app.py

@@ -213,6 +213,7 @@ def generate_canonical(smiles):
     latent_vec, mask = encode([selfie])
     gen_mol = None
     for i in range(5, 51):
+        print("Searching Latent space")
         noise = i / 10
         perturbed_latent = perturb_latent(latent_vec, noise_scale=noise)
         gen = generate(perturbed_latent, mask)
@@ -221,6 +222,7 @@ def generate_canonical(smiles):
 
     if gen_mol:
         # Calculate properties for ref and gen molecules
+        print("calculating properties")
         ref_properties = calculate_properties(smiles)
         gen_properties = calculate_properties(gen_mol)
         tanimoto_similarity = calculate_tanimoto(smiles, gen_mol)
@@ -235,6 +237,7 @@ def generate_canonical(smiles):
         df = pd.DataFrame(data)
 
         # Display molecule image of canonical smiles
+        print("Getting image")
         mol_image = smiles_to_image(gen_mol)
 
         return df, gen_mol, mol_image