Create app.py

app.py

@@ -0,0 +1,151 @@
+import gradio as gr
+
+# 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):
+    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))
+                    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))
+                    board[i][j] = ""
+        return best
+
+# Find the best move for AI
+def get_best_move(board):
+    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)
+                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):
+    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)
+        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 🎮")
+
+    # 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],
+            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()