Spaces:
Sleeping
Sleeping
Add application file
Browse files
app.py
ADDED
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import numpy as np
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import random
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import gradio as gr
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from PIL import Image, ImageDraw
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def ai_move(board):
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best_score = -np.inf
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best_move = None
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for r, c in available_moves(board):
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board[r][c] = "X"
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score = minimax(board, 0, False) # AI 使用最大化策略,深度從 0 開始
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board[r][c] = ""
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if score > best_score:
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best_score = score
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best_move = (r, c)
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if best_move:
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board[best_move[0]][best_move[1]] = "X"
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return board
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def initialize_board():
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return [["", "", ""] for _ in range(3)]
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def draw_board(board):
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img_size = 300
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cell_size = img_size // 3
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img = Image.new("RGB", (img_size, img_size), "white")
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draw = ImageDraw.Draw(img)
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# Draw grid lines
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for i in range(1, 3):
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draw.line([(0, i * cell_size), (img_size, i * cell_size)], fill="black", width=3)
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draw.line([(i * cell_size, 0), (i * cell_size, img_size)], fill="black", width=3)
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# Draw ⨉ and 𐤏
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for r in range(3):
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for c in range(3):
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if board[r][c] == "X":
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draw.line([(c * cell_size + 10, r * cell_size + 10), ((c + 1) * cell_size - 10, (r + 1) * cell_size - 10)], fill="red", width=3)
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draw.line([((c + 1) * cell_size - 10, r * cell_size + 10), (c * cell_size + 10, (r + 1) * cell_size - 10)], fill="red", width=3)
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elif board[r][c] == "O":
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draw.ellipse([(c * cell_size + 10, r * cell_size + 10), ((c + 1) * cell_size - 10, (r + 1) * cell_size - 10)], outline="blue", width=3)
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return img
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def check_winner(board):
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for i in range(3):
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if board[i][0] == board[i][1] == board[i][2] and board[i][0] != "":
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return board[i][0]
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if board[0][i] == board[1][i] == board[2][i] and board[0][i] != "":
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return board[0][i]
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if board[0][0] == board[1][1] == board[2][2] and board[0][0] != "":
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return board[0][0]
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if board[0][2] == board[1][1] == board[2][0] and board[0][2] != "":
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return board[0][2]
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if all(cell != "" for row in board for cell in row):
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return "Tie"
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return None
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def available_moves(board):
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return [(r, c) for r in range(3) for c in range(3) if board[r][c] == ""]
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def minimax(board, depth, is_maximizing):
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result = check_winner(board)
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if result == "O":
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return -10 + depth
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elif result == "X":
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return 10 - depth
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elif result == "Tie":
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return 0
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if is_maximizing:
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best_score = -np.inf
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for r, c in available_moves(board):
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board[r][c] = "X"
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score = minimax(board, depth + 1, False)
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board[r][c] = ""
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best_score = max(score, best_score)
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return best_score
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else:
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best_score = np.inf
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for r, c in available_moves(board):
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board[r][c] = "O"
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score = minimax(board, depth + 1, True)
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board[r][c] = ""
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best_score = min(score, best_score)
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return best_score
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def play_tic_tac_toe(evt: gr.SelectData, board, game_over):
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if game_over:
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return draw_board(board), "Game already finished! Please reset to play again.", True
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r, c = evt.index[1] // 100, evt.index[0] // 100
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if board[r][c] != "":
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return draw_board(board), "Invalid move! This spot is already taken. Please select an empty square.", False
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board[r][c] = "O"
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result = check_winner(board)
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if result:
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return draw_board(board), f"Game Over! Player {result} wins!" if result != "Tie" else "It's a tie!", True
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board = ai_move(board)
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result = check_winner(board)
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if result:
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return draw_board(board), f"Game Over! Player {result} wins!" if result != "Tie" else "It's a tie!", True
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return draw_board(board), "Game in progress", False
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def reset_game():
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board = initialize_board()
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return draw_board(board), board, "New game started!", False
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with gr.Blocks() as app:
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gr.Markdown("# Tic-Tac-Toe AI Game")
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board = initialize_board()
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board_image = gr.Image(value=draw_board(board), interactive=False, label="Board", show_download_button=False, show_fullscreen_button=False)
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message_display = gr.Textbox(label="Game Status", value="Game in progress")
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reset_button = gr.Button("Reset Game")
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board_state = gr.State(board)
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game_over_state = gr.State(False)
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board_image.select(play_tic_tac_toe, inputs=[board_state, game_over_state], outputs=[board_image, message_display, game_over_state])
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reset_button.click(reset_game, inputs=[], outputs=[board_image, board_state, message_display, game_over_state])
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app.launch()
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