Update app.py

app.py

@@ -234,7 +234,7 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                     This is a general-purpose model that generates diverse drug-like molecules without targeting a specific protein. Trained with a general [ChEMBL dataset]((https://drive.google.com/file/d/1oyybQ4oXpzrme_n0kbwc0-CFjvTFSlBG/view?usp=drive_link)
                     Molecules larger than 45 heavy atoms were excluded.
 
-                        - Useful for exploring chemical space, generating diverse scaffolds, and creating molecules with drug-like properties.
+                    - Useful for exploring chemical space, generating diverse scaffolds, and creating molecules with drug-like properties.
                     
                     
                     For more details, see our [paper on arXiv](https://arxiv.org/abs/2302.07868).
@@ -256,7 +256,7 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                     discriminator during training.
                     
                     ### Structural Metrics
-                    - **Average Length**: Normalized average number of atoms in the generated molecules, normalized by the maximum atom count (e.g., 45 for AKT1/NoTarget, 38 for CDK2)
+                    - **Average Length**: Normalized average number of atoms in the generated molecules, normalized by the maximum number of atoms (e.g., 45 for AKT1/NoTarget, 38 for CDK2)
                     - **Mean Atom Type**: Average number of distinct atom types in the generated molecules
                     - **Internal Diversity**: Diversity within the generated set (higher is more diverse)
                     
@@ -302,7 +302,7 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                 with gr.TabItem("Custom Input SMILES"):
                         custom_smiles = gr.Textbox(
                             label="Input SMILES (one per line, maximum 100 molecules)",
-                            info="This space runs on a CPU, which may result in slower performance. Generating 100 molecules takes approximately 6 minutes. Therefore, we set a 100-molecule cap.\n molecules larger than allowed maximum length (45 for AKT1/NoTarget and 38 for CDK2) and allowed atom types are going to be filtered.",
+                            info="This space runs on a CPU, which may result in slower performance. Generating 100 molecules takes approximately 6 minutes. Therefore, we set a 100-molecule cap.\n\n Molecules larger than allowed maximum length (45 for AKT1/NoTarget and 38 for CDK2) and allowed atom types are going to be filtered.\n\n Novelty (Inference) metric will be calculated using these input smiles.",
                             placeholder="C(C(=O)O)N\nCCO\n...",
                             lines=10
                         )