adjust size

app.py

@@ -122,6 +122,7 @@ def init_leaderboard(dataframe):
             filter_columns=[],
             hide_columns=[],
             interactive=False,
+            height=800,
         )
 
     dataframe = dataframe[
@@ -171,6 +172,7 @@ def init_leaderboard(dataframe):
         hide_columns=hide_cols if hide_cols else [],
         filter_columns=[],
         interactive=False,
+        height=800,
     )
 
 
@@ -198,25 +200,29 @@ def submit_csv_ui(token: str, csv_file):
     updated_leaderboard_df = get_leaderboard_df(SUBMISSIONS_PATH, COLS)
 
     if not token or not token.strip():
-        return styled_error("Please provide your team token."), updated_leaderboard_df
+        accepted, rejected, all_subs = get_submission_queue_df(SUBMISSIONS_PATH, SUBMISSION_COLS)
+        return styled_error("Please provide your team token."), updated_leaderboard_df, accepted, rejected, all_subs
 
     if csv_file is None:
-        return styled_error("Please upload a CSV file."), updated_leaderboard_df
+        accepted, rejected, all_subs = get_submission_queue_df(SUBMISSIONS_PATH, SUBMISSION_COLS)
+        return styled_error("Please upload a CSV file."), updated_leaderboard_df, accepted, rejected, all_subs
 
     try:
         with open(csv_file.name, "r") as f:
             csv_content = f.read()
     except Exception as e:
-        return styled_error(f"Could not read CSV file: {str(e)}"), updated_leaderboard_df
+        accepted, rejected, all_subs = get_submission_queue_df(SUBMISSIONS_PATH, SUBMISSION_COLS)
+        return styled_error(f"Could not read CSV file: {str(e)}"), updated_leaderboard_df, accepted, rejected, all_subs
 
     success, message = submit_csv(token, csv_content)
 
     updated_leaderboard_df = get_leaderboard_df(SUBMISSIONS_PATH, COLS)
+    accepted, rejected, all_subs = get_submission_queue_df(SUBMISSIONS_PATH, SUBMISSION_COLS)
 
     if success:
-        return styled_message(message), updated_leaderboard_df
+        return styled_message(message), updated_leaderboard_df, accepted, rejected, all_subs
     else:
-        return styled_error(message), updated_leaderboard_df
+        return styled_error(message), updated_leaderboard_df, accepted, rejected, all_subs
 
 
 def refresh_leaderboard():
@@ -224,6 +230,11 @@ def refresh_leaderboard():
     return fresh_df
 
 
+def refresh_submission_history():
+    accepted, rejected, all_subs = get_submission_queue_df(SUBMISSIONS_PATH, SUBMISSION_COLS)
+    return accepted, rejected, all_subs
+
+
 logo_image_path = os.path.abspath("assets/logo.png")
 
 demo = gr.Blocks(css=custom_css, theme=gr.themes.Soft())
@@ -310,12 +321,6 @@ with demo:
                         submit_button = gr.Button("Submit CSV", variant="primary")
                         submission_result = gr.Markdown()
 
-                submit_button.click(
-                    submit_csv_ui,
-                    [token_input, csv_file_input],
-                    [submission_result, leaderboard],
-                )
-
                 with gr.Accordion("📊 Submission History", open=False):
                     with gr.Tabs():
                         with gr.TabItem("✅ Accepted Submissions"):
@@ -337,7 +342,16 @@ with demo:
                                 row_count=10,
                             )
 
-    demo.load(refresh_leaderboard, outputs=[leaderboard])
+                submit_button.click(
+                    submit_csv_ui,
+                    [token_input, csv_file_input],
+                    [submission_result, leaderboard, accepted_table, rejected_table, all_table],
+                )
+
+    demo.load(
+        lambda: (refresh_leaderboard(), *refresh_submission_history()),
+        outputs=[leaderboard, accepted_table, rejected_table, all_table],
+    )
 
 if __name__ == "__main__":
     scheduler = BackgroundScheduler()

src/about.py

@@ -13,7 +13,7 @@ LLM_BENCHMARKS_TEXT = """
 - **Save your token** - you'll need it to submit predictions and you won't be able to see your token again after registration
 
 ### 2. Exploratory Notebook
-To get you started quickly, we have prepared an [Exploratory Notebook](https://colab.research.google.com/drive/16O_P901xLdjkka8Xi4CfysF6h8l8q28H?usp=sharing)
+To get you started quickly, we have prepared an [Exploratory Notebook](https://colab.research.google.com/drive/1cGQ5fMrNM7-YEmPTudIgN9OlA1-v0wEC)
 
 Feel free to use your computer instead of Google Colab to run the notebook