gui_inference.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import chess\n",
    "import chess.engine\n",
    "from model import model\n",
    "from data.vocab import BaseVocab\n",
    "# from evaluation.evaluate import get_prediction\n",
    "# from evaluation.evaluate import initialise_model\n",
    "import evaluation.evaluate\n",
    "from utils.utils import get_recent_ckpt\n",
    "import IPython.display as vis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialise the Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Number of parameters: 14668800\n"
     ]
    }
   ],
   "source": [
    "# Initialise the model\n",
    "# gpt_model, stoi, itos = evaluation.evaluate.initialise_model('ckpts/pretrain-english-epoch-2/epoch_0_iter_27000.pt')\n",
    "gpt_model, stoi, itos = evaluation.evaluate.initialise_model('ckpts/epoch_1.pt')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Initialise the Chess Engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = chess.engine.SimpleEngine.popen_uci(\"/usr/games/stockfish\")\n",
    "# engine = chess.engine.SimpleEngine.popen_uci(\"/usr/local/bin/stockfish\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code for Bot vs. Human"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bot_vs_human(starting_pgn='', display_board=True):\n",
    "    winner = None\n",
    "    final_illegal = 0\n",
    "    first_bad_move = -1\n",
    "\n",
    "    # run inference loop\n",
    "    game_str = starting_pgn\n",
    "    bot_move = ''\n",
    "    board = chess.Board()\n",
    "\n",
    "    for move in game_str.split():\n",
    "        board.push_san(move)\n",
    "\n",
    "    illegal_moves = []\n",
    "    if display_board:\n",
    "        vis.display(board)\n",
    "    bot_move_count = 0\n",
    "    while True:\n",
    "        user_move = input('Enter move: ')\n",
    "        \n",
    "        if user_move == \"resign\":\n",
    "            break\n",
    "        else:\n",
    "            while True:\n",
    "                try:\n",
    "                    board.push_san(user_move)\n",
    "                    game_str += user_move + ' '\n",
    "                    break\n",
    "                except ValueError:\n",
    "                    display(\"MAKE A LEGAL MOVE\")\n",
    "                    user_move = input('Enter new move: ')\n",
    "            \n",
    "            \n",
    "        if board.is_stalemate() or board.is_insufficient_material():\n",
    "            winner = \"DRAW\"\n",
    "            if display_board:\n",
    "                vis.clear_output()\n",
    "                vis.display(board)\n",
    "                display(\"DRAW\")\n",
    "            break\n",
    "        \n",
    "        if board.is_checkmate():\n",
    "            display(\"CHECKMATE, PLAYER WINS\")\n",
    "            break\n",
    "\n",
    "        vis.clear_output()\n",
    "        vis.display(board)\n",
    "\n",
    "        # bot turn\n",
    "        # handle cases where game str is larger than block size\n",
    "        if len(game_str) >= 504:\n",
    "            if display_board:\n",
    "                vis.display(\"ALERT: Game string too long.  ChEPT resigns.\")\n",
    "                vis.clear_output()\n",
    "                vis.display(board)\n",
    "                display(\"CHECKMATE, CHePT RESIGNS\")\n",
    "            break\n",
    "        bot_move = get_prediction(game_str, gpt_model, stoi, itos)\n",
    "        bot_move_count += 1\n",
    "\n",
    "        try:\n",
    "            board.push_san(bot_move)\n",
    "            illegal_moves.append(0)\n",
    "        except ValueError:\n",
    "            if first_bad_move == -1: first_bad_move = bot_move_count\n",
    "            \n",
    "                \n",
    "            # try re-sampling 5 times\n",
    "            success = False\n",
    "            for i in range(15):\n",
    "                bot_move = get_prediction(game_str, gpt_model, stoi, itos, sample=True)\n",
    "                \n",
    "                try:\n",
    "                    board.push_san(bot_move)\n",
    "                    success = True\n",
    "                    break\n",
    "                except:\n",
    "                    pass\n",
    "\n",
    "            if not success:\n",
    "                if display_board:\n",
    "                    vis.display(\"ALERT ALERT ALERT: Bot move was illegal.  Computer move substituted.\")\n",
    "                illegal_moves.append(1)\n",
    "                final_illegal += 1\n",
    "                bot_move = engine.play(board, chess.engine.Limit(time=0.1))\n",
    "                bot_move_str = board.san(bot_move.move)\n",
    "                board.push(bot_move.move)\n",
    "                bot_move = bot_move_str\n",
    "        \n",
    "        if board.is_stalemate() or board.is_insufficient_material():\n",
    "            winner = \"DRAW\"\n",
    "            if display_board:\n",
    "                vis.clear_output()\n",
    "                vis.display(board)\n",
    "                display(\"DRAW\")\n",
    "            break\n",
    "\n",
    "        if board.is_checkmate():\n",
    "            winner = \"BOT\"\n",
    "            if display_board:\n",
    "                vis.clear_output()\n",
    "                vis.display(board)\n",
    "                display(\"CHECKMATE, BOT WINS\")\n",
    "            break\n",
    "\n",
    "        game_str = game_str + bot_move + ' '\n",
    "        if display_board:\n",
    "            vis.clear_output()\n",
    "            vis.display(board)\n",
    "\n",
    "    return (game_str, illegal_moves, first_bad_move, final_illegal, winner)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code for Bot vs. Stockfish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "from evaluation.evaluate import bot_vs_stockfish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
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     "metadata": {}
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    {
     "output_type": "display_data",
     "data": {
      "text/plain": "'CHECKMATE, STOCKFISH WINS'"
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     "metadata": {}
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       " 'STOCKFISH',\n",
       " 'checkmate',\n",
       " 'e4 c5 Nf3 d6 Nc3 Nf6 Bb5+ Bd7 Bxd7+ Qxd7 d4 cxd4 Nxd4 g6 a4 Bg7 h3 O-O O-O Nc6 Nf3 Rac8 Be3 a6 Re1 Qc7 Nd5 Nxd5 exd5 Ne5 Nxe5 Bxe5 c3 Qc4 g3 Rfe8 Rc1 b5 b3 Qc7 axb5 axb5 Bd4 Bxd4 Qxd4 Qc5 Qd3 Ra8 b4 Qa7 Qxb5 Reb8 Qe2 Rb7 Rb1 f5 c4 Kf7 c5 dxc5 Qe6+ Kg7 Qe5+ Kg8 Ra1 cxb4 Rxa7 Rbxa7 Rb1 Rb7 d6 exd6 Qd5+ Kg7 Qxb7+ Kf6 Qxa8 g5 Re1 Kg6 Qg8+ Kf6 Re6#')"
      ]
     },
     "metadata": {},
     "execution_count": 31
    }
   ],
   "source": [
    "bot_vs_stockfish(gpt_model=gpt_model, stoi=stoi, itos=itos, visualise=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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