Update app.py

Re introduced the playing tab

app.py

@@ -121,27 +121,20 @@ def extract_leaderboard_stats(game_name: str) -> pd.DataFrame:
     
     return leaderboard_df
 
-def generate_leaderboard_json():
-    """Generate a JSON file containing leaderboard stats."""
-    available_games = get_available_games()
-    leaderboard = extract_leaderboard_stats("Aggregated Performance").to_dict(orient="records")
-    json_file = "results/leaderboard_stats.json"
-    with open(json_file, "w", encoding="utf-8") as f:
-        json.dump({"timestamp": datetime.utcnow().isoformat(), "leaderboard": leaderboard}, f, indent=4)
-    return json_file
-
 with gr.Blocks() as interface:
+    with gr.Tab("Game Arena"):
+        gr.Markdown("# Play Against LLMs\nChoose a game and an opponent to play!")
+        game_dropdown = gr.Dropdown(get_available_games()[1:], label="Select a Game")
+        opponent_dropdown = gr.Dropdown(["Random Bot", "LLM"], label="Choose Opponent")
+        play_button = gr.Button("Start Game")
+        game_output = gr.Textbox(label="Game Log")
+        
+        play_button.click(lambda game, opponent: f"Game {game} started against {opponent}", inputs=[game_dropdown, opponent_dropdown], outputs=[game_output])
+    
     with gr.Tab("Leaderboard"):
         gr.Markdown("# LLM Model Leaderboard\nTrack performance across different games!")
         available_games = get_available_games()
         leaderboard_game_dropdown = gr.Dropdown(available_games, label="Select Game", value="Aggregated Performance")
-        leaderboard_table = gr.Dataframe(headers=["agent_name", "agent_type", "# games", "total rewards", "avg_generation_time (sec)", "win-rate", "win vs_random (%)"])
-        refresh_button = gr.Button("Refresh Leaderboard")
-        generate_button = gr.Button("Generate Leaderboard JSON")
-        download_component = gr.File(label="Download Leaderboard JSON")
-        
-        leaderboard_game_dropdown.change(extract_leaderboard_stats, inputs=[leaderboard_game_dropdown], outputs=[leaderboard_table])
-        refresh_button.click(extract_leaderboard_stats, inputs=[leaderboard_game_dropdown], outputs=[leaderboard_table])
-        generate_button.click(generate_leaderboard_json, outputs=[download_component])
-
-interface.launch()
+        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)
+    
+    interface.launch()