Update app.py

app.py

@@ -26,11 +26,10 @@ warnings.filterwarnings("ignore")
 
 st.title("ReactionT5 task forward")
 st.markdown("""
-##### At this space, you can predict the products of reactions from their inputs.
-##### The code expects input_data as a string or CSV file that contains an "input" column. 
-##### The format of the string or contents of the column should be "REACTANT:{reactants}REAGENT:{reagents}".
-##### If there is no reagent, fill the blank with a space. For multiple compounds, concatenate them with ".".
-##### The output contains SMILES of predicted products and the sum of log-likelihood for each prediction, ordered by their log-likelihood (0th is the most probable product).
+##### Predict reaction products from your inputs.
+##### Upload a CSV that contains a `REACTANT` column. Optionally include `REAGENT`, `SOLVENT`, and/or `CATALYST`.
+##### If a field lists multiple compounds, separate them with a dot (`.`). For details, download **demo_reaction_data.csv** and check its contents.
+##### The output shows product SMILES and the sum of log-likelihoods for each prediction, sorted by log-likelihood (index 0 is the most probable).
 """)
 
 st.download_button(