Spaces:
Sleeping
Sleeping
File size: 6,214 Bytes
a8cdb27 ecd0b7f a8cdb27 0ca6ed7 a8cdb27 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 |
import gradio as gr
import random
# Initialize the game board and state
def initialize_game():
board = [["" for _ in range(3)] for _ in range(3)]
current_player = "X"
status = "Player 1's turn (X)"
buttons = [gr.Button(value="", elem_classes=["cell-btn"], interactive=True) for _ in range(9)]
return board, current_player, status, *buttons
# Check for a winner
def check_winner(board):
for i in range(3):
if board[i][0] == board[i][1] == board[i][2] and board[i][0] != "":
return board[i][0]
if board[0][i] == board[1][i] == board[2][i] and board[0][i] != "":
return board[0][i]
if board[0][0] == board[1][1] == board[2][2] and board[0][0] != "":
return board[0][0]
if board[0][2] == board[1][1] == board[2][0] and board[0][2] != "":
return board[0][2]
return None
# Check for a draw
def check_draw(board):
return all(cell != "" for row in board for cell in row)
# Minimax algorithm for AI's move
def minimax(board, depth, is_maximizing, difficulty):
winner = check_winner(board)
if winner == "X":
return -10 + depth
elif winner == "O":
return 10 - depth
elif check_draw(board):
return 0
if is_maximizing:
best = -float('inf')
for i in range(3):
for j in range(3):
if board[i][j] == "":
board[i][j] = "O"
best = max(best, minimax(board, depth + 1, False, difficulty))
board[i][j] = ""
return best
else:
best = float('inf')
for i in range(3):
for j in range(3):
if board[i][j] == "":
board[i][j] = "X"
best = min(best, minimax(board, depth + 1, True, difficulty))
board[i][j] = ""
return best
# Find the best move for AI
def get_best_move(board, difficulty):
if difficulty == "easy":
# Random move for easy level
empty_cells = [(i, j) for i in range(3) for j in range(3) if board[i][j] == ""]
if empty_cells:
return random.choice(empty_cells)
if difficulty == "intermediate":
# Mixed strategy for intermediate
if random.random() < 0.5:
return get_best_move(board, "easy")
best_val = -float('inf')
best_move = (-1, -1)
for i in range(3):
for j in range(3):
if board[i][j] == "":
board[i][j] = "O"
move_val = minimax(board, 0, False, difficulty)
board[i][j] = ""
if move_val > best_val:
best_move = (i, j)
best_val = move_val
return best_move
# Handle a move
def handle_move(board, current_player, button_idx, game_status, difficulty):
if "wins" in game_status or "draw" in game_status:
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"], interactive=False) for i in range(9)]
return board, current_player, game_status, *buttons
row, col = divmod(button_idx, 3)
if board[row][col] != "":
status = f"Invalid move! Player {1 if current_player == 'X' else 2}'s turn ({current_player})"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"]) for i in range(9)]
return board, current_player, status, *buttons
board[row][col] = current_player
winner = check_winner(board)
if winner:
status = f"Player {1 if winner == 'X' else 2} ({winner}) wins! 🎉"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"], interactive=False) for i in range(9)]
return board, current_player, status, *buttons
if check_draw(board):
status = "It's a draw! 🤝"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"], interactive=False) for i in range(9)]
return board, current_player, status, *buttons
# AI's turn
if current_player == "X":
current_player = "O"
ai_row, ai_col = get_best_move(board, difficulty)
board[ai_row][ai_col] = "O"
winner = check_winner(board)
if winner:
status = f"AI ({winner}) wins! 🎉"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"], interactive=False) for i in range(9)]
return board, current_player, status, *buttons
if check_draw(board):
status = "It's a draw! 🤝"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"], interactive=False) for i in range(9)]
return board, current_player, status, *buttons
current_player = "X"
status = f"Player 1's turn (X)"
buttons = [gr.Button(value=board[i // 3][i % 3], elem_classes=["cell-btn"]) for i in range(9)]
return board, current_player, status, *buttons
# Build the Gradio UI
with gr.Blocks(css=".cell-btn {height: 100px; width: 100px; font-size: 2em; text-align: center;}") as tic_tac_toe:
gr.Markdown("## Tic-Tac-Toe with AI 🎮")
difficulty = gr.Radio(["easy", "intermediate", "impossible"], value="impossible", label="Difficulty Level")
# Initialize states
board_state = gr.State([["" for _ in range(3)] for _ in range(3)])
current_player = gr.State("X")
game_status = gr.Textbox(value="Player 1's turn (X)", label="Game Status", interactive=False)
# Create grid buttons
buttons = []
for i in range(3):
with gr.Row():
for j in range(3):
btn = gr.Button(value="", elem_classes=["cell-btn"])
buttons.append(btn)
# Update buttons dynamically on click
for idx, btn in enumerate(buttons):
btn.click(
handle_move,
inputs=[board_state, current_player, gr.Number(idx, visible=False), game_status, difficulty],
outputs=[board_state, current_player, game_status, *buttons],
)
# Reset game button
reset_button = gr.Button("Reset Game")
reset_button.click(
initialize_game,
inputs=[],
outputs=[board_state, current_player, game_status, *buttons],
)
tic_tac_toe.launch()
|