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import numpy as np
import gradio as gr
class TicTacToeAI:
def __init__(self):
self.board = np.full((3, 3), "", dtype=str)
self.human = "X"
self.ai = "O"
def is_winner(self, board, player):
return any([
np.all(row == player) for row in board
]) or any([
np.all(board[:, i] == player) for i in range(3)
]) or np.all(np.diag(board) == player) or np.all(np.diag(np.fliplr(board)) == player)
def is_draw(self, board):
return "" not in board and not self.is_winner(board, self.human) and not self.is_winner(board, self.ai)
def available_moves(self, board):
return [(r, c) for r in range(3) for c in range(3) if board[r, c] == ""]
def minimax(self, board, depth, is_maximizing):
if self.is_winner(board, self.ai):
return 10 - depth
if self.is_winner(board, self.human):
return depth - 10
if self.is_draw(board):
return 0
if is_maximizing:
best_score = -np.inf
for (r, c) in self.available_moves(board):
board[r, c] = self.ai
score = self.minimax(board, depth + 1, False)
board[r, c] = ""
best_score = max(best_score, score)
return best_score
else:
best_score = np.inf
for (r, c) in self.available_moves(board):
board[r, c] = self.human
score = self.minimax(board, depth + 1, True)
board[r, c] = ""
best_score = min(best_score, score)
return best_score
def best_move(self):
best_score = -np.inf
move = None
for (r, c) in self.available_moves(self.board):
self.board[r, c] = self.ai
score = self.minimax(self.board, 0, False)
self.board[r, c] = ""
if score > best_score:
best_score = score
move = (r, c)
return move
game = TicTacToeAI()
status = "Your Turn (X)"
def play(row, col):
global status, game
if game.board[row, col] != "":
return game.board.tolist(), status, "Invalid move."
game.board[row, col] = game.human
if game.is_winner(game.board, game.human):
status = "You Win! 🎉"
return game.board.tolist(), status, "Try again?"
elif game.is_draw(game.board):
status = "Draw! 🤝"
return game.board.tolist(), status, "Try again?"
ai_r, ai_c = game.best_move()
if ai_r is not None:
game.board[ai_r, ai_c] = game.ai
if game.is_winner(game.board, game.ai):
status = "AI Wins! 🤖"
return game.board.tolist(), status, "Try again?"
elif game.is_draw(game.board):
status = "Draw! 🤝"
return game.board.tolist(), status, "Try again?"
status = "Your Turn (X)"
return game.board.tolist(), status, ""
def reset():
global game, status
game = TicTacToeAI()
status = "Your Turn (X)"
return game.board.tolist(), status, ""
with gr.Blocks() as demo:
gr.Markdown("## 🎮 Smart Tic-Tac-Toe vs AI")
gr.Markdown("Click a cell to make your move. You are X, AI is O.")
board = gr.Dataframe(value=game.board.tolist(), row_count=3, col_count=3, interactive=False)
status_text = gr.Textbox(value=status, interactive=False, label="Game Status")
tips = gr.Textbox(label="Tip", interactive=False)
with gr.Row():
for r in range(3):
for c in range(3):
gr.Button(f"{r},{c}").click(
play, inputs=[gr.Number(value=r), gr.Number(value=c)],
outputs=[board, status_text, tips]
)
gr.Button("Reset Game 🔄").click(reset, outputs=[board, status_text, tips])
demo.launch()
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