Update app.py

app.py

@@ -419,7 +419,7 @@ elo_ratings_df = pd.read_csv("chessllm_leaderboard.csv")
 title = """
 <div align="center">
   <p style="font-size: 36px;">⚔️ Chess LLM Arena</h1>
-  <p style="font-size: 20px;">💻 <a href="https://github.com/mlabonne/chessllm">GitHub</a> • 🏆 <a href="https://gist.github.com/chessllm/696115fe2df47fb2350fcff2663678c9">Leaderboard</a> • ♟️ <a href="https://colab.research.google.com/drive/1e2PszrvaY4Lv5SiRXuBGb5R4GdZsm-H3">Trainer</a> • ♟️ <a href="https://colab.research.google.com/drive/11UjbfajCzphe707_V7PD-2e5WIzyintf">Dataset</a></p>
+  <p style="font-size: 20px;">💻 <a href="https://github.com/mlabonne/chessllm">GitHub</a> • 📅 <a href="https://gist.github.com/chessllm/696115fe2df47fb2350fcff2663678c9">Gist Database</a> • ♟️ <a href="https://colab.research.google.com/drive/1e2PszrvaY4Lv5SiRXuBGb5R4GdZsm-H3">Trainer</a> • ♟️ <a href="https://colab.research.google.com/drive/11UjbfajCzphe707_V7PD-2e5WIzyintf">Dataset</a></p>
   <p><em>Pick two chess LLMs and make them compete in a chess match. When the game is over, it will automatically update the crowd-sourced leaderboard. Build a dataset and train your own small language model to compete in the arena.</em></p>
 </div>
 """
@@ -433,6 +433,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         out = gr.Image(width=256)
     btn.click(fn=update, inputs=[model_id_white, model_id_black], outputs=out)
-    gr.Dataframe(value=elo_ratings_df)
+    gr.Markdown('<p style="font-size: 28px;">🏆 Leaderboard</p>')
+    leaderboard = gr.Dataframe(value=elo_ratings_df)
 
 demo.launch()