Added November end date

about.py

@@ -38,6 +38,8 @@ ABOUT_TEXT = f"""
     - Track 2 (Train from scratch): Train a model using cross-validation on the `GDPa1` dataset and submit cross-validation predictions by selecting `GDPa1_cross_validation`.
 5. **Submit to the "Final Exam"**. Once you have submitted predictions on the validation set, download the private test set sequences from the {SUBMIT_TAB_NAME} tab and submit your final predictions. Your performance on this private set will determine the winners.
 
+Submissions close on **1 November 2025**.
+
 #### How to contribute?
 
 We'd like to add some more existing models to the leaderboard. Some examples of models we'd like to add:
@@ -139,4 +141,6 @@ We may release private test set results at intermediate points during the compet
 
 For the cross-validation metrics (if training only on the GDPa1 dataset), use the `"hierarchical_cluster_IgG_isotype_stratified_fold"` column to split the dataset into folds and make predictions for each of the folds.
 Submit a CSV file in the same format but also containing the `"hierarchical_cluster_IgG_isotype_stratified_fold"` column.
+
+Submissions close on **1 November 2025**.
 """

app.py

@@ -92,6 +92,7 @@ with gr.Blocks(theme=gr.themes.Monochrome(text_size=sizes.text_lg)) as demo:
 
                 You can **predict any or all of the 5 properties**, and you can filter the main leaderboard by property.
                 See more details in the "{ABOUT_TAB_NAME}" tab.
+                Submissions close on 1 November 2025.
                 """
             )
         with gr.Column(scale=2):  # smaller side column for logo