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Create app.py
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import os
import json
import gradio as gr
from games_registry import GAMES_REGISTRY
from llm_registry import LLM_REGISTRY
from simulators.base_simulator import PlayerType
from typing import Dict
# File to persist results
RESULTS_TRACKER_FILE = "results_tracker.json"
# Load or initialize the results tracker
if os.path.exists(RESULTS_TRACKER_FILE):
with open(RESULTS_TRACKER_FILE, "r") as f:
results_tracker = json.load(f)
else:
results_tracker = {
name: {opponent: {"wins": 0, "games": 0} for opponent in ["Human"] + list(LLM_REGISTRY.keys())}
for name in ["Human"] + list(LLM_REGISTRY.keys())
}
def save_results_tracker():
"""Save the results tracker to a JSON file."""
with open(RESULTS_TRACKER_FILE, "w") as f:
json.dump(results_tracker, f, indent=4)
def initialize_game(game_name, player1_type, player2_type, player1_model, player2_model):
"""Initialize the game state and simulator."""
game_config = GAMES_REGISTRY[game_name]
game = game_config["loader"]()
simulator_class = game_config["simulator"]
# Ensure models are selected if players are LLMs
if player1_type == "llm" and not player1_model:
raise ValueError("Player 1 is set to LLM, but no model is selected.")
if player2_type == "llm" and not player2_model:
raise ValueError("Player 2 is set to LLM, but no model is selected.")
# Initialize LLMs for the players
llms = {
"Player 1": LLM_REGISTRY[player1_model]["model_loader"]() if player1_type == "llm" else None,
"Player 2": LLM_REGISTRY[player2_model]["model_loader"]() if player2_type == "llm" else None,
}
# Map player types to names
player_type_map = {
"Player 1": player1_type,
"Player 2": player2_type,
}
# Create the simulator
simulator = simulator_class(
game,
game_name,
llms=llms,
player_type=player_type_map,
)
state = game.new_initial_state()
return simulator, state, "Game Initialized! Click 'Next Turn' to start."
def toggle_model_dropdown(player1, player2):
"""Control visibility and set default models for LLM players."""
player1_model_visible = gr.update(visible=(player1 == "llm"))
player2_model_visible = gr.update(visible=(player2 == "llm"))
# Set default models if the player type is "llm"
default_model1 = list(LLM_REGISTRY.keys())[0] if player1 == "llm" else None
default_model2 = list(LLM_REGISTRY.keys())[0] if player2 == "llm" else None
return player1_model_visible, player2_model_visible, default_model1, default_model2
def update_results_tracker(scores, player1, player2):
"""Update the matrix results tracker with game outcomes."""
player1_name = player1 if player1 != "llm" else "Human"
player2_name = player2 if player2 != "llm" else "Human"
# Update games played
results_tracker[player1_name][player2_name]["games"] += 1
results_tracker[player2_name][player1_name]["games"] += 1
# Update wins
if scores[0] > scores[1]: # Player 1 wins
results_tracker[player1_name][player2_name]["wins"] += 1
elif scores[1] > scores[0]: # Player 2 wins
results_tracker[player2_name][player1_name]["wins"] += 1
save_results_tracker() # Save after every update
def calculate_matrix_leaderboard():
"""Generate a matrix leaderboard table."""
matrix = [[""] + list(results_tracker.keys())] # Header row
for player, opponents in results_tracker.items():
row = [player]
for opponent in results_tracker.keys():
games = opponents[opponent]["games"]
wins = opponents[opponent]["wins"]
win_percentage = (wins / games * 100) if games > 0 else 0
row.append(f"{win_percentage:.2f}%")
matrix.append(row)
return matrix
def play_turn(simulator, state, player1_type, player2_type, human_move=None, player1_model=None, player2_model=None):
"""Play a single turn of the game."""
if state.is_terminal():
final_scores = state.returns()
update_results_tracker(final_scores, player1_model, player2_model)
return f"Game Over!\nFinal Scores: {final_scores}", state
current_player = state.current_player()
legal_moves = state.legal_actions(current_player)
board = str(state)
# Human player's turn
if (player1_type == "human" and current_player == 0) or (player2_type == "human" and current_player == 1):
if human_move is None:
return f"Your Turn! Current Board:\n{board}\nValid Moves: {legal_moves}", state
try:
human_move = int(human_move)
if human_move not in legal_moves:
return f"Invalid move. Legal moves are: {legal_moves}\nCurrent Board:\n{board}", state
state.apply_action(human_move)
except ValueError:
return f"Invalid input. Please enter a valid move number.\nValid Moves: {legal_moves}\nCurrent Board:\n{board}", state
else:
# LLM or bot's turn
action = simulator._get_action(current_player, state, legal_moves)
state.apply_action(action)
# Continue to the next turn
legal_moves = state.legal_actions(state.current_player())
board = str(state)
return f"Next Turn! Current Board:\n{board}\nValid Moves: {legal_moves}", state
# Gradio Interface
with gr.Blocks() as interface:
with gr.Tab("Game Arena"):
gr.Markdown("# LLM Game Arena\nPlay against LLMs or other players in classic games!")
with gr.Row():
game_dropdown = gr.Dropdown(
choices=list(GAMES_REGISTRY.keys()),
label="Select a Game",
value="tic_tac_toe", # Default to Tic-Tac-Toe
)
with gr.Row():
player1_dropdown = gr.Dropdown(
choices=["human", "random_bot", "llm"],
label="Player 1 Type",
value="human", # Default to human
)
player2_dropdown = gr.Dropdown(
choices=["human", "random_bot", "llm"],
label="Player 2 Type",
value="llm", # Default to LLM
)
with gr.Row():
player1_model_dropdown = gr.Dropdown(
choices=list(LLM_REGISTRY.keys()),
label="Player 1 Model",
value=None, # No default value if Player 1 is human
visible=False, # Hidden by default for a human player
)
player2_model_dropdown = gr.Dropdown(
choices=list(LLM_REGISTRY.keys()),
label="Player 2 Model",
value=list(LLM_REGISTRY.keys())[0], # Default to the first LLM for Player 2
visible=True, # Visible by default for an LLM player
)
with gr.Row():
human_input = gr.Textbox(label="Enter your move (number)", visible=True)
with gr.Row():
result_output = gr.Textbox(label="Game Progress", interactive=False)
with gr.Row():
restart_button = gr.Button("Restart Game")
next_turn_button = gr.Button("Next Turn")
# State management
simulator_state = gr.State(None) # To store the simulator
game_state = gr.State(None) # To store the game state
restart_button.click(
initialize_game,
inputs=[game_dropdown, player1_dropdown, player2_dropdown, player1_model_dropdown, player2_model_dropdown],
outputs=[simulator_state, game_state, result_output],
)
next_turn_button.click(
play_turn,
inputs=[simulator_state, game_state, player1_dropdown, player2_dropdown, human_input, player1_model_dropdown, player2_model_dropdown],
outputs=[result_output, game_state],
)
with gr.Tab("Leaderboard"):
gr.Markdown("# Matrix Leaderboard\nSee how players perform against each other!")
leaderboard_table = gr.Dataframe(label="Leaderboard Matrix")
def update_leaderboard_tab():
return calculate_matrix_leaderboard()
update_leaderboard_button = gr.Button("Update Leaderboard")
update_leaderboard_button.click(
update_leaderboard_tab,
inputs=[],
outputs=leaderboard_table,
)
interface.launch()