Update README.md

README.md

@@ -18,11 +18,10 @@ short_description: app to generate and view beta-lactam molecules
 This application demonstrates a drug discovery pipeline that allows users to:
 
 * Generate novel beta-lactam molecules using a generative AI model that was fine-tuned with beta-lactam structures.
-* View the generated molecules with options to display and copy SMILES or SAFE strings.
-* Predict ADMET properties for the generated molecules using ADMET-AI.
+* View the generated molecules with SMILES and SAFE strings.
+* Predict select ADMET properties for the generated molecules using ADMET-AI.
 
 ## Features
-
 * Molecule Generation:
   * Generates up to 3 beta-lactam molecules at a time.
   * Users can adjust the creativity (temperature) of the generation process. Higher number leads to more diverse output. 
@@ -35,7 +34,6 @@ This application demonstrates a drug discovery pipeline that allows users to:
   * Displays predicted properties of each molecule.
 
 ## How to Use the App
-
 1. Set Generation Parameters:
   * Use the sidebar to adjust the creativity (temperature) slider.
   * Select the number of molecules to generate (maximum of 3).
@@ -46,7 +44,6 @@ This application demonstrates a drug discovery pipeline that allows users to:
 
 
 ## Technical Details
-
 * Generative Model: Uses the model: 'seyonec/PubChem10M_SMILES_BPE_450k' fine-tuned on beta-lactam structures.
 * ADMET Predictions: Uses the ADMET-AI library to predict molecular properties.
 * Visualization: Employs RDKit and SAFE encoding for molecule rendering.