Spaces:
Sleeping
Sleeping
File size: 5,067 Bytes
045d76c de84014 045d76c e53525f 045d76c fdf4637 045d76c 12a270b 045d76c f4e8ffa 045d76c 128d193 045d76c 128d193 045d76c 128d193 045d76c 128d193 045d76c 8e6ff6d e53525f 8e6ff6d fdf4637 8e6ff6d 045d76c fdf4637 045d76c 128d193 |
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 |
"""Interface to play against the model.
"""
import huggingface_hub
import chess
import chess.svg
import uuid
import random
import wandb
import gradio as gr
from . import constants
model_name = "yp-edu/gpt2-stockfish-debug"
headers = {"X-Wait-For-Model": "true"}
client = huggingface_hub.InferenceClient(
model=model_name, headers=headers
)
inference_fn = client.text_generation
def plot_board(
board: chess.Board,
):
try:
last_move = board.peek()
arrows = [(last_move.from_square, last_move.to_square)]
except IndexError:
arrows = []
if board.is_check():
check = board.king(board.turn)
else:
check = None
svg_board = chess.svg.board(
board,
check=check,
size=350,
arrows=arrows,
)
id = str(uuid.uuid4())
with open(f"{constants.FIGURE_DIRECTORY}/board_{id}.svg", "w") as f:
f.write(svg_board)
return f"{constants.FIGURE_DIRECTORY}/board_{id}.svg"
def render_board(
current_board: chess.Board,
):
fen = current_board.fen()
pgn = current_board.root().variation_san(current_board.move_stack)
image_board = plot_board(current_board)
return fen, pgn, image_board
def play_user_move(
uci_move: str,
current_board: chess.Board,
):
current_board.push_uci(uci_move)
return current_board
def play_ai_move(
current_board: chess.Board,
temperature: float = 0.1,
top_k: int = 3,
):
print(f"Playing AI move with temperature {temperature}")
uci_move = inference_fn(
prompt=f"FEN: {current_board.fen()}\nMOVE:",
temperature=temperature,
top_k=top_k,
)
current_board.push_uci(uci_move.strip())
return current_board
def try_play_move(
username: str,
move_to_play: str,
current_board: chess.Board,
):
if current_board.is_game_over():
gr.Warning("The game is already over")
return *render_board(current_board), current_board
try:
current_board = play_user_move(move_to_play, current_board)
if current_board.is_game_over():
gr.Info(f"Congratulations, {username}!")
with wandb.init(project="gpt2-stockfish-debug", entity="yp-edu") as run:
run.log(
{
"username": username,
"winin": current_board.fullmove_number,
"pgn": current_board.variation_san(current_board.move_stack),
}
)
run.finish()
return *render_board(current_board), current_board
except:
gr.Warning("Invalid move")
return *render_board(current_board), current_board
temperature_retries = [
(i+1)/10 for i in range(10)
]
for temperature in temperature_retries:
try:
current_board = play_ai_move(current_board, temperature=temperature)
break
except:
gr.Warning(f"AI move failed with temperature {temperature}")
else:
gr.Warning("AI move failed with all temperatures")
current_board.pop()
return *render_board(current_board), current_board
with gr.Blocks() as interface:
with gr.Row():
with gr.Column():
username = gr.Textbox(
label="Username to record on leaderboard (should you win)",
lines=1,
max_lines=1,
value="",
)
current_fen = gr.Textbox(
label="Board FEN",
lines=1,
max_lines=1,
value=chess.STARTING_FEN,
)
current_pgn = gr.Textbox(
label="Action sequence",
lines=1,
value="",
)
with gr.Row():
move_to_play = gr.Textbox(
label="Move to play (UCI)",
lines=1,
max_lines=1,
value="",
)
play_button = gr.Button("Play")
reset_button = gr.Button("Reset")
with gr.Column():
image_board = gr.Image(label="Board")
static_inputs = [
username,
move_to_play,
]
static_outputs = [
current_fen,
current_pgn,
image_board,
]
is_ai_white = random.choice([True, False])
init_board = chess.Board()
if is_ai_white:
init_board = play_ai_move(init_board)
state_board = gr.State(value=init_board)
play_button.click(
try_play_move,
inputs=[*static_inputs, state_board],
outputs=[*static_outputs, state_board],
)
def reset_board():
board = chess.Board()
is_ai_white = random.choice([True, False])
if is_ai_white:
board = play_ai_move(board)
return *render_board(board), board
reset_button.click(
reset_board,
outputs=[*static_outputs, state_board],
)
interface.load(render_board, inputs=[state_board], outputs=[*static_outputs])
|