Add in an advanced universal evaluation function to both the AI's and add in an advanced superpositional eval with stockfish; stockfish-windows-x86-64-sse41-popcnt.exe

```
import tkinter as tk
from tkinter import messagebox, ttk, scrolledtext
from PIL import Image, ImageTk
import chess
import chess.pgn
import os
import g4f
from g4f.client import Client as OpenAI
import subprocess
import sys
import threading
import re

# Constants
SQUARE_SIZE = 60  # Increased size for better visibility
LIGHT_COLOR = "#F0D9B5"
DARK_COLOR = "#B58863"
HIGHLIGHT_COLOR = "#FFFF00"
TACTICAL_HIGHLIGHT_COLOR = "#FF6347"  # Tomato color for tactical highlights

# Paths to executables and models
STOCKFISH_PATH = "stockfish-windows-x86-64-sse41-popcnt.exe"  # Updated Stockfish executable
NNUE_MODEL_PATH = "nn-bc638d5ec9-20240730.nnue"  # Path to your NNUE model

# Verify existence of Stockfish and NNUE model
if not os.path.exists(STOCKFISH_PATH):
    messagebox.showerror("Error", f"Stockfish executable not found at {STOCKFISH_PATH}")
    sys.exit(1)

if not os.path.exists(NNUE_MODEL_PATH):
    messagebox.showerror("Error", f"NNUE model file not found at {NNUE_MODEL_PATH}")
    sys.exit(1)


def play_chess_gpt(board, evaluation, tactics, api_key):
    client = OpenAI(provider=g4f.Provider.Blackbox)
    legal_moves = [move.uci() for move in board.legal_moves]
    prompt = (
        "You are a grandmaster chess player with deep strategic insight. "
        "Based on the current board evaluation and identified tactical motifs, "
        "provide a detailed reasoning (chain-of-thought) and respond with a single move in UCI chess notation (e.g., e2e4).\n\n"
        f"Board Evaluation: {evaluation}\n\n"
        f"Tactical Patterns: {', '.join(tactics) if tactics else 'None detected'}\n\n"
        f"Legal Moves: {', '.join(legal_moves)}.\n\n"
        "Make your move with thorough reasoning."
    )
    completion = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[
            {"role": "system", "content": prompt},
            {"role": "user", "content": "Please provide your move along with reasoning."},
        ]
    )
    return completion.choices[0].message.content


def play_chess_claude(board, evaluation, tactics, api_key):
    client = OpenAI(provider=g4f.Provider.Blackbox)
    legal_moves = [move.uci() for move in board.legal_moves]
    prompt = (
        "You are a grandmaster chess player with exceptional strategic and tactical skills. "
        "Using the current board evaluation and identified tactical motifs, "
        "provide detailed reasoning (chain-of-thought) and respond with a single move in UCI chess notation (e.g., e2e4).\n\n"
        f"Board Evaluation: {evaluation}\n\n"
        f"Tactical Patterns: {', '.join(tactics) if tactics else 'None detected'}\n\n"
        f"Legal Moves: {', '.join(legal_moves)}.\n\n"
        "Please make your move with comprehensive reasoning."
    )
    completion = client.chat.completions.create(
        model="claude-3.5-sonnet",
        messages=[
            {"role": "system", "content": prompt},
            {"role": "user", "content": "Please provide your move along with reasoning."},
        ]
    )
    return completion.choices[0].message.content


class StockfishEngine:
    def __init__(self, path=STOCKFISH_PATH, nnue_path=NNUE_MODEL_PATH):
        self.engine = subprocess.Popen(
            path,
            stdin=subprocess.PIPE,
            stdout=subprocess.PIPE,
            universal_newlines=True,
            bufsize=1
        )
        # Initialize UCI protocol
        self.engine.stdin.write("uci\n")
        self.engine.stdin.flush()
        # Wait for UCI to initialize
        while True:
            output = self.engine.stdout.readline().strip()
            if output == "uciok":
                break
        # Set NNUE model
        self.engine.stdin.write(f"setoption name EvalFile value {nnue_path}\n")
        self.engine.stdin.flush()
        # Ensure engine is ready
        self.engine.stdin.write("isready\n")
        self.engine.stdin.flush()
        while True:
            output = self.engine.stdout.readline().strip()
            if output == "readyok":
                break

    def get_move(self, board_fen, time_limit=1000):
        # Set the position
        self.engine.stdin.write(f"position fen {board_fen}\n")
        self.engine.stdin.flush()
        # Start search with specified time limit in milliseconds
        self.engine.stdin.write(f"go movetime {time_limit}\n")
        self.engine.stdin.flush()
        move = None
        while True:
            output = self.engine.stdout.readline().strip()
            if output.startswith("bestmove"):
                parts = output.split()
                if len(parts) > 1:
                    move = parts[1]
                break
        return move

    def get_evaluation_and_tactics(self, board_fen, depth=20):
        # Request evaluation
        self.engine.stdin.write(f"position fen {board_fen}\n")
        self.engine.stdin.flush()
        # Request analysis to a certain depth
        self.engine.stdin.write(f"go depth {depth}\n")
        self.engine.stdin.flush()

        evaluation = None
        tactics = []

        while True:
            output = self.engine.stdout.readline().strip()
            if output.startswith("info depth"):
                # Extract score
                match = re.search(r"score (cp|mate) (-?\d+)", output)
                if match:
                    score_type, value = match.groups()
                    if score_type == "cp":
                        evaluation = float(value) / 100.0
                    elif score_type == "mate":
                        evaluation = 10000 if int(value) > 0 else -10000
            elif output.startswith("bestmove"):
                break

        # Detect tactical motifs (simple implementation)
        # This can be expanded with more sophisticated techniques
        tactics = self.detect_tactics(board_fen)

        return evaluation, tactics

    def detect_tactics(self, board_fen):
        board = chess.Board(board_fen)
        tactics = []
        # Detect pins
        for pin in board.pins(board.turn):
            tactics.append("Pin")
        # Detect forks
        for move in board.legal_moves:
            board.push(move)
            if board.in_check():
                tactics.append("Check")
            board.pop()
        # Additional tactical detection can be implemented here
        return tactics

    def quit(self):
        self.engine.stdin.write("quit\n")
        self.engine.stdin.flush()
        self.engine.terminate()


class ChessGUI:
    def __init__(self, master):
        self.master = master
        self.master.title("Advanced Chess Game with AI Support")
        self.master.geometry("1000x900")  # Increased size for additional elements
        self.master.configure(bg='#f0f0f0')  # Light gray background
        self.style = ttk.Style()
        self.style.theme_use('clam')  # Modern look

        self.board = chess.Board()
        self.buttons = [[None for _ in range(8)] for _ in range(8)]
        self.selected_square = None
        self.piece_images = {}
        self.empty_images = {}
        self.ai_opponent = None
        self.api_key = None
        self.opponent_var = tk.StringVar()  # To track selected opponent
        self.stockfish = None  # To handle Stockfish engine

        # For tactical highlights
        self.tactical_overlays = [[None for _ in range(8)] for _ in range(8)]

        self.load_images()
        self.create_opponent_selection()

    def load_images(self):
        piece_files = {
            'p': 'black_pawn.png', 'r': 'black_rook.png', 'n': 'black_knight.png',
            'b': 'black_bishop.png', 'q': 'black_queen.png', 'k': 'black_king.png',
            'P': 'white_pawn.png', 'R': 'white_rook.png', 'N': 'white_knight.png',
            'B': 'white_bishop.png', 'Q': 'white_queen.png', 'K': 'white_king.png'
        }
        for piece, file_name in piece_files.items():
            img_path = os.path.join("pieces", file_name)
            if not os.path.exists(img_path):
                messagebox.showerror("Error", f"Image file not found: {img_path}")
                self.master.quit()
            img = Image.open(img_path).convert("RGBA")
            img = img.resize((SQUARE_SIZE, SQUARE_SIZE), Image.LANCZOS)
            self.piece_images[piece] = {
                'light': ImageTk.PhotoImage(self.overlay_image(img, LIGHT_COLOR)),
                'dark': ImageTk.PhotoImage(self.overlay_image(img, DARK_COLOR)),
                'highlight': ImageTk.PhotoImage(self.overlay_image(img, HIGHLIGHT_COLOR))
            }

        for color, color_value in [('light', LIGHT_COLOR), ('dark', DARK_COLOR), ('highlight', HIGHLIGHT_COLOR)]:
            empty_img = Image.new('RGBA', (SQUARE_SIZE, SQUARE_SIZE), color_value)
            self.empty_images[color] = ImageTk.PhotoImage(empty_img)

        # Tactical overlay image (semi-transparent)
        overlay_img = Image.new('RGBA', (SQUARE_SIZE, SQUARE_SIZE), (255, 99, 71, 100))  # Semi-transparent tomato
        self.tactical_overlay_image = ImageTk.PhotoImage(overlay_img)

    def overlay_image(self, img, color):
        background = Image.new("RGBA", img.size, color)
        return Image.alpha_composite(background, img)

    def create_opponent_selection(self):
        self.opponent_frame = ttk.Frame(self.master, padding="20")
        self.opponent_frame.pack(expand=True)

        ttk.Label(self.opponent_frame, text="Choose your opponent:", font=('Helvetica', 16)).pack(pady=10)

        ttk.Radiobutton(
            self.opponent_frame,
            text="GPT-4 (via g4f)",
            variable=self.opponent_var,
            value="gpt",
            style='TRadiobutton'
        ).pack(pady=5)

        ttk.Radiobutton(
            self.opponent_frame,
            text="Claude Pro (via g4f)",
            variable=self.opponent_var,
            value="claude",
            style='TRadiobutton'
        ).pack(pady=5)

        ttk.Button(
            self.opponent_frame,
            text="Next",
            command=self.show_api_key_input,
            style='TButton'
        ).pack(pady=20)

        # Configure styles
        self.style.configure('TRadiobutton', font=('Helvetica', 12))
        self.style.configure('TButton', font=('Helvetica', 12), padding=10)

    def show_api_key_input(self):
        self.ai_opponent = self.opponent_var.get()
        if not self.ai_opponent:
            messagebox.showerror("Error", "Please select an opponent.")
            return

        self.opponent_frame.destroy()

        if self.ai_opponent in ["gpt", "claude"]:
            self.api_frame = ttk.Frame(self.master, padding="20")
            self.api_frame.pack(expand=True)

            api_label = "g4f configuration (optional)"
            ttk.Label(
                self.api_frame,
                text=f"Enter {api_label}:",
                font=('Helvetica', 16)
            ).pack(pady=10)

            self.api_key_entry = ttk.Entry(self.api_frame, width=50, show="*")
            self.api_key_entry.pack(pady=10)

            ttk.Button(
                self.api_frame,
                text="Start Game",
                command=self.start_game,
                style='TButton'
            ).pack(pady=20)
        else:
            # Initialize Stockfish for evaluation and tactics
            self.stockfish = StockfishEngine()
            self.start_game()

    def start_game(self):
        if self.ai_opponent in ["gpt", "claude"]:
            self.api_key = self.api_key_entry.get()
            self.api_frame.destroy()
        self.create_board()

    def create_board(self):
        self.board_frame = ttk.Frame(self.master, padding="20")
        self.board_frame.pack(expand=True)

        for row in range(8):
            for col in range(8):
                color = 'light' if (row + col) % 2 == 0 else 'dark'
                button = tk.Button(
                    self.board_frame,
                    image=self.empty_images[color],
                    width=SQUARE_SIZE,
                    height=SQUARE_SIZE,
                    command=lambda r=row, c=col: self.on_square_click(r, c),
                    bd=0,
                    highlightthickness=0
                )
                button.grid(row=row, column=col)
                self.buttons[row][col] = button

        self.update_board()
        self.highlight_tactics()

        # Add a status label
        self.status_label = ttk.Label(self.master, text="Your turn", font=('Helvetica', 14))
        self.status_label.pack(pady=10)

        # Add a scrolled text widget to display AI reasoning
        self.reasoning_text = scrolledtext.ScrolledText(self.master, height=10, wrap=tk.WORD, font=('Helvetica', 12))
        self.reasoning_text.pack(pady=10)
        self.reasoning_text.configure(state='disabled')

        # Add an evaluation label
        self.evaluation_label = ttk.Label(self.master, text="Board Evaluation: 0.00", font=('Helvetica', 14))
        self.evaluation_label.pack(pady=10)

        # Initialize evaluation and tactics
        self.update_evaluation_and_tactics()

    def update_board(self):
        for row in range(8):
            for col in range(8):
                square = chess.square(col, 7 - row)
                piece = self.board.piece_at(square)
                color = 'light' if (row + col) % 2 == 0 else 'dark'
                if piece:
                    self.buttons[row][col].config(image=self.piece_images[piece.symbol()][color])
                else:
                    self.buttons[row][col].config(image=self.empty_images[color])

    def update_evaluation_and_tactics(self):
        if self.ai_opponent in ["gpt", "claude"] and not self.stockfish:
            # For GPT-4 and Claude, initialize Stockfish for evaluation and tactics
            self.stockfish = StockfishEngine()

        if self.stockfish:
            threading.Thread(target=self.fetch_evaluation_and_tactics).start()

    def fetch_evaluation_and_tactics(self):
        board_fen = self.board.fen()
        evaluation, tactics = self.stockfish.get_evaluation_and_tactics(board_fen)
        self.evaluation_label.config(
            text=f"Board Evaluation: {evaluation:.2f} ({'White advantage' if evaluation > 0 else 'Black advantage' if evaluation < 0 else 'Equal'})"
        )
        self.highlight_tactics(tactics)

    def on_square_click(self, row, col):
        square = chess.square(col, 7 - row)
        if self.selected_square is None:
            piece = self.board.piece_at(square)
            if piece and piece.color == chess.WHITE:
                self.selected_square = square
                self.highlight_square(row, col)
        else:
            move = chess.Move(self.selected_square, square)
            if move in self.board.legal_moves:
                self.make_move(move)
            self.clear_highlights()
            self.selected_square = None
            self.update_board()
            self.update_evaluation_and_tactics()

    def highlight_square(self, row, col):
        square = chess.square(col, 7 - row)
        piece = self.board.piece_at(square)
        if piece:
            self.buttons[row][col].config(image=self.piece_images[piece.symbol()]['highlight'])
        else:
            self.buttons[row][col].config(image=self.empty_images['highlight'])

    def clear_highlights(self):
        for row in range(8):
            for col in range(8):
                color = 'light' if (row + col) % 2 == 0 else 'dark'
                square = chess.square(col, 7 - row)
                piece = self.board.piece_at(square)
                if piece:
                    self.buttons[row][col].config(image=self.piece_images[piece.symbol()][color])
                else:
                    self.buttons[row][col].config(image=self.empty_images[color])

    def make_move(self, move):
        self.board.push(move)
        self.update_board()
        self.update_evaluation_and_tactics()

        if self.board.is_game_over():
            self.game_over()
            return

        # Update status
        self.status_label.config(text="AI is thinking...")
        self.reasoning_text.configure(state='normal')
        self.reasoning_text.delete('1.0', tk.END)
        self.reasoning_text.configure(state='disabled')

        # Make AI move in a separate thread to keep UI responsive
        threading.Thread(target=self.make_ai_move).start()

    def make_ai_move(self):
        ai_move = ""
        reasoning = ""
        move = None
        evaluation = "N/A"
        tactics = []

        try:
            # Fetch current evaluation and tactics
            if self.stockfish:
                evaluation, tactics = self.stockfish.get_evaluation_and_tactics(self.board.fen())
            else:
                evaluation = "N/A"
                tactics = []

            if self.ai_opponent == "gpt":
                response = play_chess_gpt(self.board, evaluation, tactics, self.api_key)
                reasoning, ai_move = self.parse_ai_response(response)
            elif self.ai_opponent == "claude":
                response = play_chess_claude(self.board, evaluation, tactics, self.api_key)
                reasoning, ai_move = self.parse_ai_response(response)

            move = chess.Move.from_uci(ai_move.strip())
            if move in self.board.legal_moves:
                self.board.push(move)
                self.update_board()
                self.update_evaluation_and_tactics()
                # Display reasoning
                if reasoning:
                    self.reasoning_text.configure(state='normal')
                    self.reasoning_text.insert(tk.END, reasoning)
                    self.reasoning_text.configure(state='disabled')
                # Update status
                if not self.board.is_game_over():
                    self.status_label.config(text="Your turn")
                else:
                    self.game_over()
            else:
                raise ValueError(f"Invalid move received from AI: {ai_move}")
        except Exception as e:
            messagebox.showerror("Error", f"An error occurred: {str(e)}")
            self.master.quit()

    def parse_ai_response(self, response):
        """
        Parses the AI response to extract reasoning and move.
        Assumes the AI provides reasoning followed by the move.
        """
        # Attempt to find UCI move in the response
        move_search = re.search(r'([a-h][1-8][a-h][1-8][qQrRnNbBkK]?)$', response.strip())
        if move_search:
            ai_move = move_search.group(1)
            reasoning = response[:move_search.start()].strip()
            return reasoning, ai_move
        else:
            # If no valid move found, assume the last word is the move
            tokens = response.strip().split()
            ai_move = tokens[-1]
            reasoning = ' '.join(tokens[:-1])
            return reasoning, ai_move

    def game_over(self):
        result = self.board.result()
        if result == "1-0":
            message = "You win!"
        elif result == "0-1":
            message = "AI wins!"
        else:
            message = "It's a draw!"
        messagebox.showinfo("Game Over", message)
        if self.stockfish:
            self.stockfish.quit()
        self.master.quit()

    def highlight_tactics(self, tactics=None):
        # Clear previous tactical overlays
        for row in range(8):
            for col in range(8):
                if self.tactical_overlays[row][col]:
                    self.buttons[row][col].config(highlightbackground=self.empty_images['light'])
                    self.tactical_overlays[row][col].destroy()
                    self.tactical_overlays[row][col] = None

        if tactics:
            # Simple example: highlight squares involved in tactics
            # For demonstration, we'll highlight squares where pieces are attacking or pinned
            for tactic in tactics:
                if tactic == "Pin":
                    # Highlight the square of the pinned piece
                    pinned_squares = self.board.pinned_pieces()
                    for square in pinned_squares:
                        row, col = chess.square_rank(square), chess.square_file(square)
                        self.add_tactical_overlay(row, col)
                elif tactic == "Fork":
                    # Highlight potential fork squares
                    # Placeholder: Define fork detection logic
                    pass
                elif tactic == "Skewer":
                    # Highlight potential skewer squares
                    # Placeholder: Define skewer detection logic
                    pass
                # Add more tactics as needed

    def add_tactical_overlay(self, row, col):
        # Place a semi-transparent overlay on the specified square
        if not self.tactical_overlays[row][col]:
            overlay = tk.Label(self.board_frame, image=self.tactical_overlay_image)
            overlay.image = self.tactical_overlay_image  # Prevent garbage collection
            overlay.place(x=col * SQUARE_SIZE, y=row * SQUARE_SIZE)
            self.tactical_overlays[row][col] = overlay

    def __del__(self):
        # Ensure Stockfish is terminated properly
        if self.stockfish:
            self.stockfish.quit()


def main():
    root = tk.Tk()
    ChessGUI(root)
    root.mainloop()


if __name__ == "__main__":
    main()