reformulate

app.py

@@ -61,7 +61,7 @@ def predict_dti():
         mol_col1, mol_col2 = st.columns(2)
 
         with mol_col1:
-            smiles = st.text_input('Enter the SMILES of the query drug compound', value='CC(=O)OC1=CC=CC=C1C(=O)O', placeholder='CC(=O)OC1=CC=CC=C1C(=O)O')
+            smiles = st.text_input('Enter query SMILES', value='CC(=O)OC1=CC=CC=C1C(=O)O', placeholder='CC(=O)OC1=CC=CC=C1C(=O)O')
             if smiles:
                 mol = Chem.MolFromSmiles(smiles)
                 mol_img = Chem.Draw.MolToImage(mol)
@@ -69,7 +69,7 @@ def predict_dti():
 
         with mol_col2:
             selected_encoder = st.selectbox(
-                'Select encoder for drug compound',('None', 'CDDD', 'MolBERT', 'Dummy')
+                'Select encoder',('None', 'CDDD', 'MolBERT', 'Dummy')
             )
             if smiles: 
                 if selected_encoder == 'CDDD':