Update app.py

app.py

@@ -417,8 +417,11 @@ def main():
     # Main Title and Description
     st.title("🧪 Molecular Generation and Analysis using VAE and GNN")
     st.markdown("""
-    This application allows you to generate novel molecular structures using a Variational Autoencoder (VAE) model trained on the QM9 dataset.
-    You can also predict molecular properties using pre-trained Graph Neural Network (GNN) models (GCN and GIN).
+    SMILES (Simplified Molecular Input Line Entry System) is a widely-used notation that encodes chemical structures into short, linear strings of characters. 
+    This representation allows for the easy storage, transmission, and manipulation of molecular information in computational applications.
+   
+    This application allows you to generate novel molecular SMILES structures using a Variational Autoencoder (VAE) model trained on the QM9 dataset.
+    You can also predict molecular properties using Graph Neural Network (GNN) models (GCN and GIN).
     """)
 
     # Initialize session state variables