Update app.py

Added comments

app.py

@@ -123,19 +123,31 @@ def extract_leaderboard_stats(game_name: str) -> pd.DataFrame:
     return leaderboard_df
 
 with gr.Blocks() as interface:
+    # Tab for playing games against LLMs
     with gr.Tab("Game Arena"):
         gr.Markdown("# Play Against LLMs\nChoose a game and an opponent to play!")
+        # Dropdown to select a game, excluding 'Aggregated Performance'
         game_dropdown = gr.Dropdown(get_available_games(include_aggregated=False), label="Select a Game")
+        # Dropdown to choose an opponent (Random Bot or LLM)
         opponent_dropdown = gr.Dropdown(["Random Bot", "LLM"], label="Choose Opponent")
+        # Button to start the game
         play_button = gr.Button("Start Game")
+        # Textbox to display the game log
         game_output = gr.Textbox(label="Game Log")
         
+        # Event to start the game when the button is clicked
         play_button.click(lambda game, opponent: f"Game {game} started against {opponent}", inputs=[game_dropdown, opponent_dropdown], outputs=[game_output])
     
+    # Tab for leaderboard and performance tracking
     with gr.Tab("Leaderboard"):
         gr.Markdown("# LLM Model Leaderboard\nTrack performance across different games!")
+        # Dropdown to select a game, including 'Aggregated Performance'
         leaderboard_game_dropdown = gr.Dropdown(choices=get_available_games(), label="Select Game", value="Aggregated Performance")
+        # Table to display leaderboard statistics
         leaderboard_table = gr.Dataframe(value=extract_leaderboard_stats("Aggregated Performance"), headers=["agent_name", "agent_type", "# games", "total rewards", "avg_generation_time (sec)", "win-rate", "win vs_random (%)"], every=5)
+        # Update the leaderboard when a new game is selected
         leaderboard_game_dropdown.change(fn=extract_leaderboard_stats, inputs=[leaderboard_game_dropdown], outputs=[leaderboard_table])
     
+    # Launch the Gradio interface
     interface.launch()
+