Spaces:
Running on Zero
Running on Zero
File size: 28,017 Bytes
fc27239 86caef8 fc27239 b2b432e c0b0144 fc27239 7464f98 731d58f b357ce0 fae1b43 731d58f fbaf850 f5159cd 9befcf3 f5159cd d43be46 7464f98 1459309 7464f98 478efec 1459309 523e980 b357ce0 ed98dc0 43a0204 1459309 b357ce0 c822f74 ed98dc0 7e5247f ed98dc0 c822f74 ed98dc0 43a0204 1459309 ed98dc0 46417a7 1459309 4e9429d f672d95 7464f98 731d58f 1459309 ed98dc0 02e4007 f672d95 02e4007 f672d95 81783d4 f672d95 b357ce0 81783d4 b357ce0 15be159 b357ce0 15be159 f672d95 7464f98 ed98dc0 81783d4 7464f98 81783d4 ed98dc0 02e4007 ed98dc0 43a0204 478efec 7464f98 478efec 7464f98 478efec 7464f98 478efec ed98dc0 7464f98 478efec c822f74 15be159 1aeae08 15be159 4d2c32e a9d68e0 15be159 f672d95 15be159 4792b99 7464f98 1459309 478efec 7464f98 1459309 478efec 7464f98 478efec 65379b3 7464f98 478efec 7464f98 1459309 7464f98 20bc3be 7464f98 478efec 20bc3be 7464f98 1459309 7464f98 a9d68e0 7464f98 20bc3be 1459309 7464f98 1459309 7464f98 1459309 fc27239 1459309 7464f98 fc27239 7464f98 1459309 7464f98 fc27239 1459309 7464f98 1459309 7464f98 1459309 7464f98 1459309 7464f98 fc27239 7464f98 fc27239 1459309 fc27239 7464f98 fc27239 1459309 fc27239 7464f98 1459309 7464f98 65379b3 7464f98 fc27239 1459309 fc27239 7464f98 c822f74 7464f98 1459309 fc27239 7464f98 1459309 7464f98 fc27239 7464f98 478efec 7464f98 478efec 7464f98 478efec 7464f98 478efec 1459309 7464f98 478efec 7464f98 478efec 1459309 fc27239 478efec 7464f98 478efec 9633f26 7464f98 478efec 65379b3 9633f26 7464f98 478efec 7464f98 478efec 7464f98 478efec 7464f98 478efec 7464f98 20bc3be 7464f98 478efec 7464f98 478efec 7464f98 478efec 7464f98 478efec 7464f98 65379b3 7464f98 20bc3be 7464f98 65379b3 fc27239 1459309 fc27239 65379b3 478efec 7464f98 478efec 1459309 86caef8 478efec 7464f98 478efec fc27239 65379b3 7464f98 fc27239 1459309 86caef8 fc27239 1459309 86caef8 7464f98 fc27239 65379b3 fc27239 7464f98 fc27239 1459309 fc27239 478efec 1459309 7464f98 fc27239 1459309 86caef8 1459309 86caef8 1459309 7464f98 fc27239 7464f98 1459309 7464f98 1459309 fc27239 7464f98 9633f26 1459309 fc27239 1459309 fc27239 7464f98 1459309 7464f98 1459309 9e5f96d fc27239 86caef8 1459309 86caef8 fc27239 1459309 7464f98 fc27239 1459309 7464f98 1459309 7464f98 1459309 7464f98 478efec fc27239 478efec 92bbd6b | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 | """
ChessQween โ Play against zhoudoe23/CheesQween
Hugging Face Space | Gradio app
"""
import os
os.environ["CUDA_VISIBLE_DEVICES"] = ""
import re
import random
import chess
import chess.svg
import chess.pgn
import gradio as gr
import torch
import spaces
torch.cuda.is_available = lambda: False
from transformers import GPT2LMHeadModel, GPT2Tokenizer
import outlines
from typing import Literal
from transformers import AutoTokenizer, AutoModelForCausalLM
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Available models
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
AVAILABLE_MODELS = {
"ChessQween": "zhoudoe23/ChessQween-124m",
"ChessQween1.5-nano": "zhoudoe23/ChessQween1.5-nano",
"ChessQween2-tiny": "zhoudoe23/ChessQween2-tiny",
"ChessQween3-base": "zhoudoe23/ChessQween3-base",
}
MODEL_DESCRIPTIONS = {
"ChessQween": "Trained on 200,000 best games on Lichess, at least 1900 elo",
"ChessQween1.5-nano": "A smaller version, but trained on 400,000 master games, at least 2300 elo",
"ChessQween2-tiny": "New model type with new tokenizer",
"ChessQween3-base": "Trained with Stockfish's best moves, using FEN board",
}
MODEL_TYPE_MAP = {
"ChessQween": 1,
"ChessQween1.5-nano": 1,
"ChessQween2-tiny": 2,
"ChessQween3-base": 3,
}
device = torch.device("cpu")
# Lazy cache: {model_id: (tokenizer, model)}
_model_cache: dict = {}
@spaces.GPU(duration=30)
def foo(bar):
return bar
current_model_type = 1
def load_model(model_key: str):
"""Load (or retrieve from cache) tokenizer + model for the given key."""
model_id = AVAILABLE_MODELS[model_key]
if model_id not in _model_cache:
print(f"Loading {model_id} โฆ")
tokenizer = AutoTokenizer.from_pretrained(model_id)
tokenizer.pad_token = tokenizer.eos_token
raw_model = AutoModelForCausalLM.from_pretrained(model_id)
raw_model.to(device)
raw_model.eval()
raw_model.config.use_cache = True
# โโโโโโโโโโโ ๆฐๅข๏ผ็จ Outlines ๅ
่ฃ
ๆจกๅ โโโโโโโโโโโ
# outlines ไผๅฐ่ฃ
ๅๅงๆจกๅๅ tokenizer๏ผๆฅ็ฎก token ็บงๅซ็ๆฉ็ ็ๆ
# outlines_model = outlines.from_transformers(raw_model, tokenizer)
# ๅฐ outlines_model ๅญๅ
ฅ็ผๅญ๏ผtokenizer ไพ็ถไฟ็๏ผๆนไพฟๅ็ปญๆผๆฅ prompt ้็จ๏ผ
# _model_cache[model_id] = (tokenizer, raw_model, outlines_model)
_model_cache[model_id] = (tokenizer, raw_model)
print(f"โ {model_id} ready on {device}")
return _model_cache[model_id]
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Chess / model logic
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
def get_history_uci(board: chess.Board) -> str:
rounds = []
current_round = []
for move in board.move_stack:
current_round.append(move.uci())
if len(current_round) == 2:
rounds.append(" ".join(current_round))
current_round = []
if current_round: # ๅฝๅ่ฝฎๅชๆ็ฝๆน่ตฐไบไธๆญฅ
rounds.append(" ".join(current_round))
if not rounds:
return ""
history_str = " | ".join(rounds)
# ๅ
ณ้ฎ้ป่พ๏ผๅฆๆๆฏๅถๆฐๆญฅ๏ผ่ฝฎๅฐ็ฝๆน่ตฐๆฃ๏ผ๏ผไธไธๆฏๅผๅฑ๏ผๆซๅฐพๅฟ
้กป่กฅไธ " |"
if len(board.move_stack) % 2 == 0 and len(board.move_stack) > 0:
history_str += " |"
return " " + history_str
def board_to_prompt(board: chess.Board, model_type) -> str:
if model_type == 1:
game = chess.pgn.Game()
node = game
for move in board.move_stack:
node = node.add_variation(move)
exporter = chess.pgn.StringExporter(headers=False, variations=False, comments=False)
pgn = game.accept(exporter).strip()
pgn = re.sub(r"\s*[\*\d][-\d/]*\s*$", "", pgn).strip().replace("\n"," ")
full_move = board.fullmove_number
# ไฟฎๅคๅ็้ป่พ๏ผ
if board.turn == chess.WHITE:
# ็ฝๆนๅๅ๏ผๆผๆฅๅๅๆฐๅ็น๏ผไพๅฆ " 2."
prompt = f"Result: 1-0 | {pgn} {full_move}."
else:
# ้ปๆนๅๅ๏ผๅฆๆไฝ ็่ฎญ็ป้้ปๆนๅ้ขๅชๆ็ฉบๆ ผ๏ผ็ดๆฅๅจ็ฝๆน่ตฐๆณๅๅ ็ฉบๆ ผ๏ผ
# ็ปไธ่ฝๅ ๅญค้ถ้ถ็ๆฐๅญ {full_move}
prompt = f"Result: 0-1 | {pgn}"
return prompt
elif model_type == 2:
if board.turn == chess.WHITE:
return f"<|WHITE|>{get_history_uci(board)}"
else:
return f"<|BLACK|>{get_history_uci(board)}"
elif model_type == 3:
fen_list = board.fen().split()
board_content = " ".join(list(fen_list[0]))
side = "<|WHITE|>" if fen_list[1] == 'w' else "<|BLACK|>"
castling = fen_list[2]
en_passant = fen_list[3]
return f"{board_content} {side} {castling} {en_passant} 0 1 >"
def extract_move(text: str, board: chess.Board):
text = re.sub(r"^\s*\d+\.+\s*", "", text).strip()
for token in text.split()[:5]:
clean = re.sub(r"[!?+#,;]+$", "", token)
try:
move = board.parse_san(clean)
if move in board.legal_moves:
return move
except Exception:
pass
try:
move = chess.Move.from_uci(clean.lower())
if move in board.legal_moves:
return move
except Exception:
pass
return None
@torch.no_grad()
def get_model_move(board: chess.Board, model_key: str):
tokenizer, model = load_model(model_key)
model_type = MODEL_TYPE_MAP[model_key]
prompt = board_to_prompt(board, model_type)
print("Current prompt: "+prompt)
inputs = tokenizer(prompt, return_tensors="pt").to(device)
outputs = model.generate(
inputs.input_ids,
max_new_tokens=12,
do_sample=False,
# do_sample=True,
# temperature=0.3,
# top_k=40,
# top_p=0.9,
repetition_penalty=1.1,
pad_token_id=tokenizer.eos_token_id,
eos_token_id=tokenizer.eos_token_id,
)
new_tokens = outputs[0][inputs.input_ids.shape[1]:]
generated = tokenizer.decode(new_tokens, skip_special_tokens=True)
move = extract_move(generated, board)
if move:
return move, True
print(f"Wrong move: {generated}")
return random.choice(list(board.legal_moves)), False
# @torch.no_grad()
# def get_model_move(board: chess.Board, model_key: str):
# # ๐ ๅๅบ raw_model ๅ outlines_model
# tokenizer, raw_model, outlines_model = load_model(model_key)
# model_type = MODEL_TYPE_MAP[model_key]
# prompt = board_to_prompt(board, model_type)
# print("Current prompt:", prompt)
# # ------------------ ๆงๆจกๅ (Model Type 1) ------------------
# if model_type == 1:
# legal_sans = [board.san(m) for m in board.legal_moves]
# choices = [" " + san for san in legal_sans]
# MoveType = Literal.__getitem__(tuple(choices))
# # ไฝฟ็จ outlines_model
# generator = outlines.Generator(outlines_model, MoveType)
# generated = generator(
# prompt, temperature=0.3, top_k=40, top_p=0.9
# ).strip()
# move = extract_move(generated, board)
# if move:
# return move, True
# # ------------------ ๆฐๆจกๅ (Model Type 2) ------------------
# elif model_type == 2:
# legal_moves = list(board.legal_moves)
# legal_ucis = [m.uci() for m in legal_moves]
# # 1. ็ผ็ Prompt
# input_ids = tokenizer.encode(prompt, return_tensors="pt").to(device)
# # ๐ ๆ ธๅฟไฟฎๆน๏ผไฝฟ็จๅ็ raw_model ่ฎก็ฎ Tensor ่พๅ
ฅ
# outputs = raw_model(input_ids)
# next_token_logits = outputs.logits[0, -1, :].clone()
# # 2. ๐ ้ๅค่ตฐๆณๆฉ็ฝ (้ฒๆญปๅพช็ฏๆ็)
# for move in legal_moves:
# uci_str = move.uci()
# if uci_str in tokenizer.vocab:
# token_id = tokenizer.vocab[uci_str]
# board.push(move)
# return random.choice(list(board.legal_moves)), False
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Board rendering
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
PIECE_COLORS = {
"square light": "#f0d9b5",
"square dark": "#b58863",
"square light lastmove": "#cdd16e",
"square dark lastmove": "#aaa23a",
}
def render_board_html(board: chess.Board, last_move=None, flipped=False, size=480):
check_square = board.king(board.turn) if board.is_check() else None
svg = chess.svg.board(
board,
lastmove=last_move,
check=check_square,
flipped=flipped,
size=size,
colors=PIECE_COLORS,
)
return f"""
<div style="
display:flex; justify-content:center; align-items:center;
padding: 16px;
background: radial-gradient(ellipse at center, #1a1208 0%, #0d0d0d 100%);
border-radius: 12px;
box-shadow: 0 0 60px rgba(0,0,0,0.8), inset 0 0 30px rgba(0,0,0,0.4);
">
<div style="
border-radius: 4px;
overflow: hidden;
box-shadow: 0 8px 32px rgba(0,0,0,0.6), 0 0 0 3px #3d2b0e, 0 0 0 5px #6b4c1e;
">
{svg}
</div>
</div>
"""
def get_legal_moves_san(board: chess.Board):
moves = []
for move in board.legal_moves:
try:
moves.append(board.san(move))
except Exception:
pass
return sorted(moves)
def format_move_history(board: chess.Board):
if not board.move_stack:
return "<em style='color:#666'>No moves yet.</em>"
temp = chess.Board()
lines = []
moves = list(board.move_stack)
i = 0
while i < len(moves):
move_num = temp.fullmove_number
white_san = temp.san(moves[i])
temp.push(moves[i])
i += 1
if i < len(moves):
black_san = temp.san(moves[i])
temp.push(moves[i])
i += 1
lines.append(
f"<span style='color:#8a7a5a;font-size:0.8em'>{move_num}.</span> "
f"<span style='color:#e8d5a3'>{white_san}</span> "
f"<span style='color:#c4b48a'>{black_san}</span>"
)
else:
lines.append(
f"<span style='color:#8a7a5a;font-size:0.8em'>{move_num}.</span> "
f"<span style='color:#e8d5a3'>{white_san}</span>"
)
visible = lines[-10:]
html = "<div style='font-family:\"Courier New\",monospace; line-height:2; font-size:0.92em;'>"
html += "<br>".join(visible)
html += "</div>"
return html
def game_status(board: chess.Board, player_color: str):
empty_board = chess.Board()
print(f"Current PGN: \n{empty_board.variation_san(board.move_stack)}")
if board.is_checkmate():
winner = "Black" if board.turn == chess.WHITE else "White"
if (winner == "White") == (player_color == "white"):
return "โ Checkmate โ You win! ๐", "win"
else:
return "โ Checkmate โ AI wins!", "loss"
if board.is_stalemate():
return "ยฝ Stalemate โ Draw", "draw"
if board.is_insufficient_material():
return "ยฝ Insufficient material โ Draw", "draw"
if board.is_seventyfive_moves():
return "ยฝ 75-move rule โ Draw", "draw"
if board.is_fivefold_repetition():
return "ยฝ Fivefold repetition โ Draw", "draw"
if board.is_check():
return "โ Check!", "check"
whose = "Your turn" if (board.turn == chess.WHITE) == (player_color == "white") else "AI is thinkingโฆ"
return whose, "playing"
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Gradio callbacks
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
def update_model_description(model_key: str):
desc = MODEL_DESCRIPTIONS.get(model_key, "")
hf_id = AVAILABLE_MODELS.get(model_key, "")
return (
f"<div id='model-desc'>"
f"<span style='color:#8a7a5a;font-style:italic;'>{desc}</span><br>"
f"<a href='https://huggingface.co/{hf_id}' target='_blank' "
f"style='color:#8a6a30;font-size:0.85em;text-decoration:none;'>"
f"๐ค {hf_id}</a>"
f"</div>"
)
def new_game(player_color_choice: str, model_key: str):
"""Reset the board and, if player chose Black, let the model move first."""
board = chess.Board()
player_color = "white" if player_color_choice == "โฌ White (move first)" else "black"
flipped = (player_color == "black")
last_move = None
log_lines = []
# If player chose Black, model plays White first
if player_color == "black":
move, legal = get_model_move(board, model_key)
san = board.san(move)
board.push(move)
last_move = move
log_lines.append(f"{model_key} opens with **{san}**")
legal_moves = get_legal_moves_san(board)
status_text, _ = game_status(board, player_color)
board_html = render_board_html(board, last_move=last_move, flipped=flipped)
history_html = format_move_history(board)
log_html = "<br>".join(log_lines) if log_lines else "<em style='color:#666'>Game started.</em>"
state = {
"fen": board.fen(),
"move_stack": [m.uci() for m in board.move_stack],
"player_color": player_color,
"last_move_uci": last_move.uci() if last_move else None,
"game_over": False,
"model_key": model_key,
}
return (
board_html,
gr.Dropdown(choices=legal_moves, value=None, interactive=True, label="Your move"),
status_text,
history_html,
log_html,
state,
)
def make_player_move(move_san: str, state: dict):
"""Apply the player's chosen move, then let the model respond."""
if not state or state.get("game_over"):
return (
gr.update(), gr.update(), "Game is over. Start a new game.",
gr.update(), gr.update(), state,
)
if not move_san:
return (
gr.update(), gr.update(), "Please select a move first.",
gr.update(), gr.update(), state,
)
board = chess.Board()
for uci in state["move_stack"]:
board.push(chess.Move.from_uci(uci))
player_color = state["player_color"]
model_key = state.get("model_key", "ChessSLM")
flipped = (player_color == "black")
log_lines = []
try:
player_move = board.parse_san(move_san)
except Exception:
return (
gr.update(), gr.update(), f"Invalid move: {move_san}",
gr.update(), gr.update(), state,
)
board.push(player_move)
log_lines.append(f"You played **{move_san}**")
last_move = player_move
status_text, status_key = game_status(board, player_color)
game_over = status_key in ("win", "loss", "draw")
if not game_over:
model_move_obj, legal = get_model_move(board, model_key)
model_san = board.san(model_move_obj)
board.push(model_move_obj)
last_move = model_move_obj
flag = "" if legal else " *(random fallback)*"
log_lines.append(f"{model_key} plays **{model_san}**{flag}")
status_text, status_key = game_status(board, player_color)
game_over = status_key in ("win", "loss", "draw")
state = {
"fen": board.fen(),
"move_stack": [m.uci() for m in board.move_stack],
"player_color": player_color,
"last_move_uci": last_move.uci() if last_move else None,
"game_over": game_over,
"model_key": model_key,
}
legal_moves = [] if game_over else get_legal_moves_san(board)
board_html = render_board_html(board, last_move=last_move, flipped=flipped)
history_html = format_move_history(board)
log_html = "<br>".join(
[f"<span style='color:#c8a96e'>{l}</span>" for l in log_lines]
)
return (
board_html,
gr.Dropdown(choices=legal_moves, value=None, interactive=not game_over, label="Your move"),
status_text,
history_html,
log_html,
state,
)
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# CSS
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
CSS = """
@import url('https://fonts.googleapis.com/css2?family=Cinzel:wght@400;600;700&family=Crimson+Text:ital,wght@0,400;0,600;1,400&display=swap');
body, .gradio-container {
background: #0d0d0d !important;
color: #e8d5a3 !important;
}
.gradio-container {
max-width: 1100px !important;
margin: 0 auto !important;
font-family: 'Crimson Text', Georgia, serif !important;
}
h1, h2, h3 { font-family: 'Cinzel', serif !important; letter-spacing: 0.08em; }
#title-block {
text-align: center;
padding: 2rem 0 1rem;
border-bottom: 1px solid #3d2b0e;
margin-bottom: 1.5rem;
}
/* โโ Model selector card โโ */
#model-selector-card {
background: linear-gradient(135deg, #161005 0%, #1e1810 100%);
border: 1px solid #5a4020;
border-radius: 8px;
padding: 1rem 1.2rem;
margin-bottom: 0.6rem;
box-shadow: inset 0 1px 0 rgba(212,168,67,0.08);
}
#model-desc {
margin-top: 0.4rem;
font-family: 'Crimson Text', serif;
font-size: 0.92em;
line-height: 1.5;
color: #8a7a5a;
}
#status-bar {
text-align: center;
font-family: 'Cinzel', serif;
font-size: 1.1em;
letter-spacing: 0.05em;
padding: 0.6rem 1rem;
border-radius: 6px;
background: #1a1208;
border: 1px solid #4a3520;
color: #f0c060;
}
button.primary {
background: linear-gradient(135deg, #8b6914 0%, #c4922a 50%, #8b6914 100%) !important;
border: 1px solid #d4a843 !important;
color: #fff8e8 !important;
font-family: 'Cinzel', serif !important;
letter-spacing: 0.06em !important;
font-size: 0.9em !important;
border-radius: 4px !important;
transition: all 0.2s ease !important;
}
button.primary:hover {
background: linear-gradient(135deg, #a07820 0%, #d4a843 50%, #a07820 100%) !important;
box-shadow: 0 0 16px rgba(212,168,67,0.4) !important;
}
button.secondary {
background: #1e1810 !important;
border: 1px solid #5a4020 !important;
color: #c8a96e !important;
font-family: 'Cinzel', serif !important;
letter-spacing: 0.04em !important;
border-radius: 4px !important;
}
select, .gr-dropdown select {
background: #1a1208 !important;
border: 1px solid #5a4020 !important;
color: #e8d5a3 !important;
font-family: 'Crimson Text', serif !important;
font-size: 1em !important;
}
#move-log {
background: #0f0c06 !important;
border: 1px solid #3d2b0e !important;
border-radius: 6px;
padding: 0.8rem 1rem;
font-family: 'Crimson Text', serif;
font-size: 0.95em;
line-height: 1.8;
min-height: 80px;
color: #c8a96e;
}
#history-panel {
background: #0f0c06 !important;
border: 1px solid #3d2b0e !important;
border-radius: 6px;
padding: 0.8rem 1rem;
min-height: 200px;
max-height: 320px;
overflow-y: auto;
}
.gr-radio label { color: #e8d5a3 !important; font-family: 'Crimson Text', serif !important; }
label span {
color: #a08050 !important;
font-family: 'Cinzel', serif !important;
font-size: 0.8em !important;
letter-spacing: 0.06em !important;
text-transform: uppercase !important;
}
::-webkit-scrollbar { width: 6px; }
::-webkit-scrollbar-track { background: #0d0d0d; }
::-webkit-scrollbar-thumb { background: #5a4020; border-radius: 3px; }
"""
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Layout
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
SECTION = "<div style='height:1px;background:#3d2b0e;margin:1rem 0;'></div>"
LABEL = lambda t: f"<h3 style='font-family:Cinzel,serif;color:#c8a96e;font-size:1em;letter-spacing:0.1em;margin:0 0 0.5rem;'>{t}</h3>"
with gr.Blocks(css=CSS, title="ChessQween โ Play vs AI") as demo:
state = gr.State({})
# โโ Header โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML("""
<div id="title-block">
<h1 style="
font-family:'Cinzel',serif; font-size:2.4em; font-weight:700;
color:#e8c96e; text-shadow:0 0 30px rgba(232,180,80,0.4);
margin:0 0 0.3rem; letter-spacing:0.12em;
">โ ChessQween</h1>
<p style="
font-family:'Crimson Text',serif; color:#8a7a5a;
font-size:1.1em; font-style:italic; margin:0;
">Play against a GPT-2 model trained on 200,000 chess games</p>
</div>
""")
# โโ Main layout โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
with gr.Row():
# Left: board
with gr.Column(scale=3):
board_display = gr.HTML(
value=render_board_html(chess.Board()),
label="Board",
)
status_display = gr.HTML(
value="<div id='status-bar'>Choose your colour and press New Game</div>"
)
# Right: controls
with gr.Column(scale=2):
# โโ Opponent selector โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML(LABEL("CHOOSE OPPONENT"))
gr.HTML("<div id='model-selector-card'>")
model_dropdown = gr.Dropdown(
choices=list(AVAILABLE_MODELS.keys()),
value="ChessQween",
label="Opponent model",
interactive=True,
)
model_desc_display = gr.HTML(
value=update_model_description("ChessQween"),
)
gr.HTML("</div>") # close card
gr.HTML(SECTION)
# โโ New game โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML(LABEL("NEW GAME"))
color_choice = gr.Radio(
choices=["โฌ White (move first)", "โฌ Black (move second)"],
value="โฌ White (move first)",
label="Play as",
)
new_game_btn = gr.Button("โ New Game", variant="primary", size="lg")
gr.HTML(SECTION)
# โโ Your move โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML(LABEL("YOUR MOVE"))
move_dropdown = gr.Dropdown(
choices=[],
value=None,
label="Select move (SAN notation)",
interactive=False,
)
move_btn = gr.Button("โถ Make Move", variant="secondary")
gr.HTML(SECTION)
# โโ Move log โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML(LABEL("MOVE LOG"))
log_display = gr.HTML(
value="<div id='move-log'><em style='color:#555'>Start a new game to begin.</em></div>",
)
gr.HTML(SECTION)
# โโ Game history โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML(LABEL("GAME HISTORY"))
history_display = gr.HTML(
value="<div id='history-panel'><em style='color:#555'>No moves yet.</em></div>",
)
# โโ Footer โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.HTML("""
<div style="
text-align:center; margin-top:2rem; padding-top:1rem;
border-top:1px solid #2a1e0a;
font-family:'Crimson Text',serif; font-size:0.85em; color:#5a4a30;
">
Model by
<a href="https://huggingface.co/zhoudoe23" target="_blank"
style="color:#8a6a30;text-decoration:none;">FlameF0X</a>
ยท GPT-2 pre-trained on PGN games
ยท Move selection uses top-k sampling (temp=0.3)
</div>
""")
# โโ Wiring โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# Live-update description when model changes
model_dropdown.change(
fn=update_model_description,
inputs=[model_dropdown],
outputs=[model_desc_display],
)
new_game_btn.click(
fn=new_game,
inputs=[color_choice, model_dropdown],
outputs=[board_display, move_dropdown, status_display,
history_display, log_display, state],
)
move_btn.click(
fn=make_player_move,
inputs=[move_dropdown, state],
outputs=[board_display, move_dropdown, status_display,
history_display, log_display, state],
)
move_dropdown.select(
fn=make_player_move,
inputs=[move_dropdown, state],
outputs=[board_display, move_dropdown, status_display,
history_display, log_display, state],
)
if __name__ == "__main__":
demo.launch()
demo.launch(mcp_server=True) |