NLP_predict_next.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "NLP-predict-next.ipynb",
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "zX4Kg8DUTKWO"
      },
      "source": [
        "#@title Licensed under the Apache License, Version 2.0 (the \"License\");\n",
        "# you may not use this file except in compliance with the License.\n",
        "# You may obtain a copy of the License at\n",
        "#\n",
        "# https://www.apache.org/licenses/LICENSE-2.0\n",
        "#\n",
        "# Unless required by applicable law or agreed to in writing, software\n",
        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
        "# See the License for the specific language governing permissions and\n",
        "# limitations under the License."
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/lmoroney/dlaicourse/blob/master/TensorFlow%20In%20Practice/Course%203%20-%20NLP/Course%203%20-%20Week%204%20-%20Lesson%202%20-%20Notebook.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BOwsuGQQY9OL"
      },
      "source": [
        "import tensorflow as tf\n",
        "\n",
        "from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
        "from tensorflow.keras.layers import Embedding, LSTM, Dense, Bidirectional\n",
        "from tensorflow.keras.preprocessing.text import Tokenizer\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "import numpy as np "
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pylt5qZYsWPh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "589bb42d-4780-4c0a-a097-4e4c2ac09a5a"
      },
      "source": [
        "!wget --no-check-certificate \\\n",
        "    https://storage.googleapis.com/laurencemoroney-blog.appspot.com/irish-lyrics-eof.txt \\\n",
        "    -O /tmp/irish-lyrics-eof.txt"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-01-07 07:56:56--  https://storage.googleapis.com/laurencemoroney-blog.appspot.com/irish-lyrics-eof.txt\n",
            "Resolving storage.googleapis.com (storage.googleapis.com)... 74.125.202.128, 173.194.192.128, 209.85.145.128, ...\n",
            "Connecting to storage.googleapis.com (storage.googleapis.com)|74.125.202.128|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 68970 (67K) [text/plain]\n",
            "Saving to: ‘/tmp/irish-lyrics-eof.txt’\n",
            "\n",
            "\r          /tmp/iris   0%[                    ]       0  --.-KB/s               \r/tmp/irish-lyrics-e 100%[===================>]  67.35K  --.-KB/s    in 0.001s  \n",
            "\n",
            "2021-01-07 07:56:56 (86.7 MB/s) - ‘/tmp/irish-lyrics-eof.txt’ saved [68970/68970]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PRnDnCW-Z7qv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d98e9b3b-28b9-40fb-93f9-3abdf774d9cc"
      },
      "source": [
        "tokenizer = Tokenizer()\n",
        "\n",
        "data = open('/tmp/irish-lyrics-eof.txt').read()\n",
        "\n",
        "corpus = data.lower().split(\"\\n\")\n",
        "\n",
        "tokenizer.fit_on_texts(corpus)\n",
        "total_words = len(tokenizer.word_index) + 1\n",
        "\n",
        "print(tokenizer.word_index)\n",
        "print(total_words)\n"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'the': 1, 'and': 2, 'i': 3, 'to': 4, 'a': 5, 'of': 6, 'my': 7, 'in': 8, 'me': 9, 'for': 10, 'you': 11, 'all': 12, 'was': 13, 'she': 14, 'that': 15, 'on': 16, 'with': 17, 'her': 18, 'but': 19, 'as': 20, 'when': 21, 'love': 22, 'is': 23, 'your': 24, 'it': 25, 'will': 26, 'from': 27, 'by': 28, 'they': 29, 'be': 30, 'are': 31, 'so': 32, 'he': 33, 'old': 34, 'no': 35, 'oh': 36, 'ill': 37, 'at': 38, 'one': 39, 'his': 40, 'there': 41, 'were': 42, 'heart': 43, 'down': 44, 'now': 45, 'we': 46, 'where': 47, 'young': 48, 'never': 49, 'go': 50, 'come': 51, 'then': 52, 'did': 53, 'not': 54, 'said': 55, 'away': 56, 'their': 57, 'sweet': 58, 'them': 59, 'green': 60, 'if': 61, 'take': 62, 'our': 63, 'like': 64, 'night': 65, 'day': 66, 'o': 67, 'out': 68, 'fair': 69, 'this': 70, 'town': 71, 'have': 72, 'can': 73, 'true': 74, 'its': 75, 'thou': 76, 'see': 77, 'dear': 78, 'more': 79, 'theres': 80, 'or': 81, 'had': 82, 'would': 83, 'over': 84, 'hear': 85, 'up': 86, 'ive': 87, 'through': 88, 'home': 89, 'again': 90, 'well': 91, 'oer': 92, 'land': 93, 'good': 94, 'im': 95, 'ye': 96, 'sea': 97, 'left': 98, 'still': 99, 'father': 100, 'long': 101, 'rose': 102, 'could': 103, 'morning': 104, 'wild': 105, 'who': 106, 'eyes': 107, 'came': 108, 'while': 109, 'too': 110, 'back': 111, 'little': 112, 'an': 113, 'took': 114, 'him': 115, 'bow': 116, 'first': 117, 'let': 118, 'man': 119, 'shall': 120, 'know': 121, 'get': 122, 'high': 123, 'gone': 124, 'say': 125, 'ever': 126, 'some': 127, 'mary': 128, 'hand': 129, 'till': 130, 'put': 131, 'own': 132, 'time': 133, 'heard': 134, 'dead': 135, 'may': 136, 'bright': 137, 'mountain': 138, 'early': 139, 'rosin': 140, 'gave': 141, 'thee': 142, 'only': 143, 'far': 144, 'maid': 145, 'must': 146, 'find': 147, 'girl': 148, 'sure': 149, 'round': 150, 'dublin': 151, 'once': 152, 'world': 153, 'delight': 154, 'last': 155, 'johnny': 156, 'seen': 157, 'has': 158, 'fine': 159, 'road': 160, 'mother': 161, 'tis': 162, 'what': 163, 'way': 164, 'moon': 165, 'soul': 166, 'neer': 167, 'id': 168, 'just': 169, 'thats': 170, 'days': 171, 'darling': 172, 'went': 173, 'white': 174, 'die': 175, 'than': 176, 'hair': 177, 'goes': 178, 'meet': 179, 'today': 180, 'do': 181, 'girls': 182, 'shes': 183, 'thyme': 184, 'thy': 185, 'sing': 186, 'pretty': 187, 'new': 188, 'poor': 189, 'into': 190, 'life': 191, 'irish': 192, 'give': 193, 'boy': 194, 'youre': 195, 'make': 196, 'passed': 197, 'lovely': 198, 'black': 199, 'youll': 200, 'died': 201, 'red': 202, 'smile': 203, 'keep': 204, 'loves': 205, 'free': 206, 'leave': 207, 'friends': 208, 'each': 209, 'saw': 210, 'behind': 211, 'song': 212, 'ra': 213, 'dont': 214, 'arms': 215, 'am': 216, 'sun': 217, 'saying': 218, 'made': 219, 'wish': 220, 'cold': 221, 'met': 222, 'before': 223, 'should': 224, 'rocky': 225, 'light': 226, 'wid': 227, 'boys': 228, 'best': 229, 'fields': 230, 'since': 231, 'ball': 232, 'water': 233, 'casey': 234, 'mind': 235, 'along': 236, 'loved': 237, 'place': 238, 'ireland': 239, 'next': 240, 'three': 241, 'many': 242, 'years': 243, 'door': 244, 'us': 245, 'drink': 246, 'got': 247, 'might': 248, 'live': 249, 'roses': 250, 'play': 251, 'soon': 252, 'ground': 253, 'times': 254, 'spent': 255, 'going': 256, 'tree': 257, 'barley': 258, 'grass': 259, 'kind': 260, 'twas': 261, 'bridge': 262, 'around': 263, 'blue': 264, 'tell': 265, 'row': 266, 'how': 267, 'money': 268, 'merry': 269, 'stepped': 270, 'corporal': 271, 'always': 272, 'though': 273, 'near': 274, 'taken': 275, 'ones': 276, 'daughter': 277, 'forever': 278, 'loo': 279, 'shining': 280, 'plenty': 281, 'hes': 282, 'ship': 283, 'banks': 284, 'think': 285, 'very': 286, 'stand': 287, 'heres': 288, 'snow': 289, 'mountains': 290, 'molly': 291, 'wheel': 292, 'street': 293, 'erin': 294, 'side': 295, 'feet': 296, 'star': 297, 'look': 298, 'brave': 299, 'woman': 300, 'sons': 301, 'two': 302, 'says': 303, 'asked': 304, 'lanigans': 305, 'singing': 306, 'men': 307, 'toome': 308, 'stole': 309, 'god': 310, 'hill': 311, 'lonely': 312, 'lover': 313, 'tears': 314, 'fathers': 315, 'low': 316, 'voice': 317, 'quite': 318, 'able': 319, 'nice': 320, 'laid': 321, 'comrades': 322, 'wind': 323, 'another': 324, 'sit': 325, 'face': 326, 'band': 327, 'call': 328, 'colleen': 329, 'until': 330, 'hills': 331, 'mine': 332, 'above': 333, 'upon': 334, 'eer': 335, 'youve': 336, 'fly': 337, 'been': 338, 'late': 339, 'alive': 340, 'ballyjamesduff': 341, 'looked': 342, 'great': 343, 'why': 344, 'every': 345, 'proud': 346, 'found': 347, 'bragh': 348, 'such': 349, 'birds': 350, 'wedding': 351, 'welcome': 352, 'dancing': 353, 'da': 354, 'fell': 355, 'thinking': 356, 'roddy': 357, 'mccorley': 358, 'smiling': 359, 'mallow': 360, 'blooming': 361, 'thought': 362, 'peace': 363, 'soft': 364, 'pure': 365, 'harp': 366, 'dream': 367, 'alas': 368, 'yet': 369, 'clear': 370, 'art': 371, 'off': 372, 'hope': 373, 'fought': 374, 'mothers': 375, 'shore': 376, 'ago': 377, 'fol': 378, 'de': 379, 'house': 380, 'married': 381, 'bound': 382, 'danced': 383, 'devil': 384, 'dawning': 385, 'makes': 386, 'same': 387, 'sat': 388, 'any': 389, 'glass': 390, 'gay': 391, 'relations': 392, 'evening': 393, 'watched': 394, 'right': 395, 'fellows': 396, 'whiskey': 397, 'bonnie': 398, 'grows': 399, 'women': 400, 'flowers': 401, 'beauty': 402, 'cannot': 403, 'handsome': 404, 'happy': 405, 'gold': 406, 'rover': 407, 'none': 408, 'doneen': 409, 'summers': 410, 'people': 411, 'set': 412, 'paddy': 413, 'morn': 414, 'most': 415, 'easy': 416, 'struck': 417, 'beautiful': 418, 'those': 419, 'golden': 420, 'run': 421, 'pipes': 422, 'glen': 423, 'dying': 424, 'here': 425, 'wall': 426, 'across': 427, 'fire': 428, 'eileen': 429, 'longer': 430, 'cheeks': 431, 'valley': 432, 'both': 433, 'dew': 434, 'care': 435, 'bride': 436, 'nothing': 437, 'wont': 438, 'theyre': 439, 'colonel': 440, 'maiden': 441, 'shed': 442, 'til': 443, 'brown': 444, 'breast': 445, 'corn': 446, 'sinking': 447, 'began': 448, 'name': 449, 'cruel': 450, 'sound': 451, 'spancil': 452, 'county': 453, 'lies': 454, 'color': 455, 'thing': 456, 'decay': 457, 'sleep': 458, 'hours': 459, 'loving': 460, 'weary': 461, 'ringing': 462, 'please': 463, 'forget': 464, 'lie': 465, 'ran': 466, 'tore': 467, 'country': 468, 'fear': 469, 'fortune': 470, 'kissed': 471, 'alone': 472, 'ould': 473, 'cry': 474, 'dreams': 475, 'used': 476, 'horse': 477, 'break': 478, 'bells': 479, 'didnt': 480, 'weeks': 481, 'without': 482, 'raw': 483, 'nor': 484, 'twenty': 485, 'tune': 486, 'hed': 487, 'roving': 488, 'leaves': 489, 'cant': 490, 'death': 491, 'ten': 492, 'prison': 493, 'judge': 494, 'against': 495, 'lads': 496, 'shell': 497, 'fill': 498, 'valleys': 499, 'other': 500, 'pale': 501, 'joy': 502, 'wide': 503, 'bring': 504, 'ah': 505, 'cliffs': 506, 'city': 507, 'end': 508, 'turn': 509, 'sky': 510, 'born': 511, 'knew': 512, 'smiled': 513, 'rosie': 514, 'comes': 515, 'sayin': 516, 'lord': 517, 'dungannon': 518, 'blood': 519, 'air': 520, 'danny': 521, 'calling': 522, 'sunshine': 523, 'spring': 524, 'bid': 525, 'grow': 526, 'truth': 527, 'tear': 528, 'rings': 529, 'guns': 530, 'bay': 531, 'oflynn': 532, 'och': 533, 'stick': 534, 'rest': 535, 'four': 536, 'jewel': 537, 'tried': 538, 'grief': 539, 'answer': 540, 'kathleen': 541, 'fond': 542, 'eye': 543, 'goin': 544, 'pistols': 545, 'musha': 546, 'whack': 547, 'creole': 548, 'together': 549, 'room': 550, 'fall': 551, 'swore': 552, 'being': 553, 'step': 554, 'lark': 555, 'cailín': 556, 'deas': 557, 'crúite': 558, 'na': 559, 'mbó': 560, 'sir': 561, 'isle': 562, 'waiting': 563, 'magic': 564, 'skibbereen': 565, 'loud': 566, 'raise': 567, 'bent': 568, 'aged': 569, 'summer': 570, 'jenny': 571, 'excise': 572, 'rigadoo': 573, 'auld': 574, 'hearts': 575, 'nay': 576, 'stool': 577, 'farrell': 578, 'garden': 579, 'precious': 580, 'child': 581, 'slumber': 582, 'sleeping': 583, 'watch': 584, 'gently': 585, 'minstrel': 586, 'praise': 587, 'bell': 588, 'shaken': 589, 'immortal': 590, 'pray': 591, 'stay': 592, 'spoke': 593, 'cross': 594, 'brothers': 595, 'much': 596, 'past': 597, 'killarney': 598, 'sang': 599, 'tones': 600, 'ral': 601, 'wander': 602, 'cot': 603, 'feel': 604, 'yore': 605, 'answered': 606, 'divil': 607, 'middle': 608, 'bit': 609, 'led': 610, 'soldiers': 611, 'lily': 612, 'bed': 613, 'lassie': 614, 'clothes': 615, 'return': 616, 'broken': 617, 'derry': 618, 'sighed': 619, 'english': 620, 'tomorrow': 621, 'souls': 622, 'van': 623, 'diemans': 624, 'law': 625, 'neither': 626, 'winds': 627, 'rather': 628, 'doesnt': 629, 'rosy': 630, 'neatest': 631, 'hands': 632, 'whereon': 633, 'stands': 634, 'write': 635, 'thousand': 636, 'fare': 637, 'youd': 638, 'velvet': 639, 'neat': 640, 'landed': 641, 'health': 642, 'kellswater': 643, 'quiet': 644, 'stars': 645, 'beside': 646, 'warm': 647, 'sunday': 648, 'grey': 649, 'ocean': 650, 'sad': 651, 'spend': 652, 'kilkenny': 653, 'silver': 654, 'view': 655, 'west': 656, 'plain': 657, 'barrow': 658, 'broad': 659, 'narrow': 660, 'crying': 661, 'wonder': 662, 'save': 663, 'stop': 664, 'tender': 665, 'told': 666, 'lip': 667, 'dance': 668, 'foot': 669, 'kilrain': 670, 'saint': 671, 'visit': 672, 'mossy': 673, 'wexford': 674, 'irishmen': 675, 'shadow': 676, 'tho': 677, 'salley': 678, 'gardens': 679, 'foolish': 680, 'youth': 681, 'fade': 682, 'war': 683, 'believe': 684, 'which': 685, 'change': 686, 'entwine': 687, 'turns': 688, 'turned': 689, 'crown': 690, 'played': 691, 'captain': 692, 'blow': 693, 'children': 694, 'slainte': 695, 'gentle': 696, 'heavens': 697, 'bloom': 698, 'grand': 699, 'bush': 700, 'nest': 701, 'rich': 702, 'parting': 703, 'better': 704, 'window': 705, 'haste': 706, 'fresh': 707, 'stream': 708, 'rays': 709, 'ma': 710, 'ring': 711, 'lad': 712, 'athy': 713, 'drop': 714, 'hardly': 715, 'done': 716, 'arm': 717, 'leg': 718, 'beg': 719, 'drew': 720, 'bold': 721, 'drawn': 722, 'jail': 723, 'writin': 724, 'farewell': 725, 'tired': 726, 'lake': 727, 'want': 728, 'ringlets': 729, 'myself': 730, 'songs': 731, 'reel': 732, 'steps': 733, 'hearty': 734, 'fainted': 735, 'called': 736, 'under': 737, 'toe': 738, 'mairi': 739, 'fairest': 740, 'darlin': 741, 'bird': 742, 'memory': 743, 'lips': 744, 'sweetly': 745, 'morrow': 746, 'consent': 747, 'else': 748, 'sold': 749, 'stout': 750, 'pair': 751, 'drinking': 752, 'meself': 753, 'fray': 754, 'pike': 755, 'coat': 756, 'beneath': 757, 'rent': 758, 'part': 759, 'half': 760, 'head': 761, 'friend': 762, 'standing': 763, 'floor': 764, 'bare': 765, 'wed': 766, 'son': 767, 'pride': 768, 'vision': 769, 'sword': 770, 'after': 771, 'won': 772, 'farmers': 773, 'flower': 774, 'nut': 775, 'surely': 776, 'stood': 777, 'wandered': 778, 'athenry': 779, 'rising': 780, 'beating': 781, 'form': 782, 'dhu': 783, 'buy': 784, 'laughter': 785, 'wear': 786, 'raking': 787, 'rakes': 788, 'claret': 789, 'shure': 790, 'tralee': 791, 'slower': 792, 'lower': 793, 'deep': 794, 'wearin': 795, 'duram': 796, 'takes': 797, 'beware': 798, 'steal': 799, 'brings': 800, 'things': 801, 'joys': 802, 'bunch': 803, 'sailor': 804, 'chanced': 805, 'pass': 806, 'angels': 807, 'send': 808, 'drowsy': 809, 'keeping': 810, 'spirit': 811, 'stealing': 812, 'feeling': 813, 'roam': 814, 'presence': 815, 'heavenward': 816, 'dust': 817, 'dim': 818, 'journey': 819, 'waves': 820, 'frightened': 821, 'leaving': 822, 'struggle': 823, 'parents': 824, 'courage': 825, 'weeping': 826, 'pain': 827, 'mist': 828, 'felt': 829, 'roared': 830, 'making': 831, 'fever': 832, 'moment': 833, 'distance': 834, 'wailing': 835, 'oft': 836, 'held': 837, 'fast': 838, 'cabin': 839, 'honey': 840, 'diddle': 841, 'clearly': 842, 'open': 843, 'opened': 844, 'table': 845, 'wine': 846, 'lay': 847, 'shells': 848, 'sailed': 849, 'drown': 850, 'fetters': 851, 'chains': 852, 'wives': 853, 'sorrow': 854, 'thoughts': 855, 'cursed': 856, 'hell': 857, 'five': 858, 'buried': 859, 'lost': 860, 'endless': 861, 'slavery': 862, 'gun': 863, 'rain': 864, 'cares': 865, 'ghosts': 866, 'runaway': 867, 'twill': 868, 'month': 869, 'meadows': 870, 'prettiest': 871, 'winters': 872, 'satisfied': 873, 'few': 874, 'short': 875, 'lines': 876, 'shone': 877, 'shoulder': 878, 'belfast': 879, 'trade': 880, 'bad': 881, 'caused': 882, 'stray': 883, 'meaning': 884, 'damsel': 885, 'appear': 886, 'seven': 887, 'sentence': 888, 'jolly': 889, 'whenever': 890, 'wee': 891, 'wife': 892, 'lives': 893, 'martha': 894, 'courted': 895, 'bridgit': 896, 'omalley': 897, 'desolation': 898, 'thorn': 899, 'gaze': 900, 'stone': 901, 'approaching': 902, 'sets': 903, 'carrigfergus': 904, 'nights': 905, 'swim': 906, 'wings': 907, 'sober': 908, 'travel': 909, 'native': 910, 'places': 911, 'slopes': 912, 'hares': 913, 'lofty': 914, 'malone': 915, 'wheeled': 916, 'streets': 917, 'enough': 918, 'reilly': 919, 'tough': 920, 'whispers': 921, 'phil': 922, 'threw': 923, 'straight': 924, 'belles': 925, 'moor': 926, 'brand': 927, 'shapes': 928, 'work': 929, 'vow': 930, 'blarney': 931, 'paid': 932, 'bower': 933, 'remain': 934, 'charming': 935, 'storied': 936, 'chieftains': 937, 'slaughter': 938, 'bann': 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'mooney': 1008, 'fighting': 1009, 'fingers': 1010, 'toes': 1011, 'john': 1012, 'hurroo': 1013, 'drums': 1014, 'beguiled': 1015, 'carry': 1016, 'bone': 1017, 'havent': 1018, 'walkin': 1019, 'kilgary': 1020, 'pepper': 1021, 'countin': 1022, 'forth': 1023, 'deliver': 1024, 'daddy': 1025, 'em': 1026, 'deceive': 1027, 'between': 1028, 'even': 1029, 'prisoner': 1030, 'fists': 1031, 'knocked': 1032, 'carriages': 1033, 'rollin': 1034, 'juice': 1035, 'courtin': 1036, 'ponchartrain': 1037, 'does': 1038, 'stranger': 1039, 'marry': 1040, 'adieu': 1041, 'ask': 1042, 'tipped': 1043, 'arrived': 1044, 'ladies': 1045, 'potatoes': 1046, 'courting': 1047, 'miss': 1048, 'small': 1049, 'ned': 1050, 'ribbons': 1051, 'heel': 1052, 'bonny': 1053, 'pipe': 1054, 'thrush': 1055, 'sweethearts': 1056, 'unto': 1057, 'rise': 1058, 'softly': 1059, 'milking': 1060, 'rare': 1061, 'pity': 1062, 'treasure': 1063, 'noon': 1064, 'sailing': 1065, 'banish': 1066, 'riches': 1067, 'comfort': 1068, 'yonder': 1069, 'flows': 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'limbs': 1999, 'blithe': 2000, 'heartfrom': 2001, 'paddys': 2002, 'cure': 2003, 'lassies': 2004, 'laughing': 2005, 'curious': 2006, 'style': 2007, 'twould': 2008, 'bubblin': 2009, 'hired': 2010, 'wages': 2011, 'required': 2012, 'almost': 2013, 'deprived': 2014, 'stroll': 2015, 'quality': 2016, 'locality': 2017, 'something': 2018, 'wobblin': 2019, 'enquiring': 2020, 'rogue': 2021, 'brogue': 2022, 'wasnt': 2023, 'vogue': 2024, 'spirits': 2025, 'falling': 2026, 'jumped': 2027, 'aboard': 2028, 'pigs': 2029, 'rigs': 2030, 'jigs': 2031, 'bubbling': 2032, 'holyhead': 2033, 'wished': 2034, 'instead': 2035, 'bouys': 2036, 'liverpool': 2037, 'safely': 2038, 'fool': 2039, 'boil': 2040, 'temper': 2041, 'losing': 2042, 'abusing': 2043, 'shillelagh': 2044, 'nigh': 2045, 'hobble': 2046, 'load': 2047, 'hurray': 2048, 'joined': 2049, 'affray': 2050, 'quitely': 2051, 'cleared': 2052, 'host': 2053, 'march': 2054, 'faces': 2055, 'farmstead': 2056, 'fishers': 2057, 'ban': 2058, 'vengeance': 2059, 'hapless': 2060, 'about': 2061, 'hemp': 2062, 'rope': 2063, 'clung': 2064, 'grim': 2065, 'array': 2066, 'earnest': 2067, 'stalwart': 2068, 'stainless': 2069, 'banner': 2070, 'marching': 2071, 'torn': 2072, 'furious': 2073, 'odds': 2074, 'keen': 2075, 'toomebridge': 2076, 'treads': 2077, 'upwards': 2078, 'traveled': 2079, 'quarters': 2080, 'below': 2081, 'hogshead': 2082, 'stack': 2083, 'stagger': 2084, 'dig': 2085, 'hole': 2086, 'couple': 2087, 'scratch': 2088, 'consolation': 2089, 'tyrant': 2090, 'remorseless': 2091, 'foe': 2092, 'lift': 2093, 'stranded': 2094, 'prince': 2095, 'edward': 2096, 'coffee': 2097, 'trace': 2098, 'fiddlin': 2099, 'dime': 2100, 'shy': 2101, 'hello': 2102, 'wintry': 2103, 'yellow': 2104, 'somewhere': 2105, 'written': 2106, 'begin': 2107, 'tap': 2108, 'caught': 2109, 'leap': 2110, 'clumsy': 2111, 'graceful': 2112, 'fiddlers': 2113, 'everywhere': 2114, 'boots': 2115, 'laughtcr': 2116, 'suits': 2117, 'easter': 2118, 'gowns': 2119, 'sailors': 2120, 'pianos': 2121, 'setting': 2122, 'someones': 2123, 'hats': 2124, 'rack': 2125, 'chair': 2126, 'wooden': 2127, 'feels': 2128, 'touch': 2129, 'awaitin': 2130, 'thc': 2131, 'fiddles': 2132, 'closet': 2133, 'strings': 2134, 'tbe': 2135, 'covers': 2136, 'buttoned': 2137, 'sometimes': 2138, 'melody': 2139, 'passes': 2140, 'slight': 2141, 'lack': 2142, 'moved': 2143, 'homeward': 2144, 'swan': 2145, 'moves': 2146, 'goods': 2147, 'gear': 2148, 'din': 2149, 'rude': 2150, 'wherein': 2151, 'dwell': 2152, 'abandon': 2153, 'energy': 2154, 'blight': 2155, 'praties': 2156, 'sheep': 2157, 'cattle': 2158, 'taxes': 2159, 'unpaid': 2160, 'redeem': 2161, 'bleak': 2162, 'landlord': 2163, 'sheriff': 2164, 'spleen': 2165, 'heaved': 2166, 'sigh': 2167, 'bade': 2168, 'goodbye': 2169, 'stony': 2170, 'anguish': 2171, 'seeing': 2172, 'feeble': 2173, 'frame': 2174, 'wrapped': 2175, 'c�ta': 2176, 'm�r': 2177, 'unseen': 2178, 'stern': 2179, 'rally': 2180, 'cheer': 2181, 'revenge': 2182, 'waking': 2183, 'wisdom': 2184, 'dwelling': 2185, 'battleshield': 2186, 'dignity': 2187, 'shelter': 2188, 'heed': 2189, 'inheritance': 2190, 'heavem': 2191, 'heaven': 2192, 'victory': 2193, 'reach': 2194, 'whatever': 2195, 'befall': 2196, 'ruler': 2197, 'pleasant': 2198, 'rambling': 2199, 'board': 2200, 'followed': 2201, 'shortly': 2202, 'anchor': 2203, '23rd': 2204, 'lrelands': 2205, 'daughters': 2206, 'crowds': 2207, 'assembled': 2208, 'fulfill': 2209, 'jovial': 2210, 'conversations': 2211, 'neighbors': 2212, 'turning': 2213, 'tailor': 2214, 'quigley': 2215, 'bould': 2216, 'britches': 2217, 'lived': 2218, 'flying': 2219, 'dove': 2220, 'hiii': 2221, 'dreamt': 2222, 'joking': 2223, 'manys': 2224, 'cock': 2225, 'shrill': 2226, 'awoke': 2227, 'california': 2228, 'miles': 2229, 'banbridge': 2230, 'july': 2231, 'boreen': 2232, 'sheen': 2233, 'coaxing': 2234, 'elf': 2235, 'shake': 2236, 'bantry': 2237, 'onward': 2238, 'sped': 2239, 'gazed': 2240, 'passerby': 2241, 'gem': 2242, 'irelands': 2243, 'travelled': 2244, 'hit': 2245, 'career': 2246, 'square': 2247, 'surrendered': 2248, 'tenant': 2249, 'shawl': 2250, 'gown': 2251, 'crossroads': 2252, 'dress': 2253, 'try': 2254, 'sheeps': 2255, 'deludhering': 2256, 'yoke': 2257, 'rust': 2258, 'plow': 2259, 'fireside': 2260, 'sits': 2261, 'whistle': 2262, 'changing': 2263, 'fright': 2264, 'downfall': 2265, 'cornwall': 2266, 'parlour': 2267, 'passing': 2268, 'william': 2269, 'betray': 2270, 'guinea': 2271, 'walking': 2272, 'mounted': 2273, 'platform': 2274, 'deny': 2275, 'walked': 2276, 'margin': 2277, 'lough': 2278, 'leane': 2279, 'bloomed': 2280, 'whom': 2281, 'cap': 2282, 'cloak': 2283, 'glossy': 2284, 'pail': 2285, 'palm': 2286, 'venus': 2287, 'bank': 2288, 'travelians': 2289, 'babes': 2290, 'freebirds': 2291, 'grew': 2292, 'matters': 2293, 'famine': 2294, 'rebelled': 2295, 'windswept': 2296, 'harbour': 2297, 'botany': 2298, 'whilst': 2299, 'wan': 2300, 'cloud': 2301, 'shannons': 2302, 'returnd': 2303, 'doubts': 2304, 'fears': 2305, 'aching': 2306, 'seemd': 2307, 'mingling': 2308, 'flood': 2309, 'path': 2310, 'wrath': 2311, 'lamenting': 2312, 'sudden': 2313, 'kissd': 2314, 'showrs': 2315, 'flowing': 2316, 'laughd': 2317, 'beam': 2318, 'soared': 2319, 'aloft': 2320, 'phantom': 2321, 'outspread': 2322, 'throbbing': 2323, 'hid': 2324, 'treasures': 2325, 'pots': 2326, 'tin': 2327, 'cans': 2328, 'mash': 2329, 'bran': 2330, 'barney': 2331, 'peeled': 2332, 'searching': 2333, 'connemara': 2334, 'butcher': 2335, 'quart': 2336, 'bottle': 2337, 'help': 2338, 'gate': 2339, 'glory': 2340, 'lane': 2341, 'village': 2342, 'church': 2343, 'spire': 2344, 'graveyard': 2345, 'baby': 2346, 'blessing': 2347, 'hoping': 2348, 'trust': 2349, 'strength': 2350, 'thank': 2351, 'bidding': 2352, 'bread': 2353, 'shines': 2354, 'fifty': 2355, 'often': 2356, 'shut': 2357, 'frisky': 2358, 'pig': 2359, 'whisky': 2360, 'uncle': 2361, 'enlisted': 2362, 'trudged': 2363, 'bosom': 2364, 'daisy': 2365, 'drubbing': 2366, 'shirts': 2367, 'battle': 2368, 'blows': 2369, 'pate': 2370, 'bothered': 2371, 'rarely': 2372, 'dropped': 2373, 'honest': 2374, 'thinks': 2375, 'eight': 2376, 'score': 2377, 'basin': 2378, 'zoo': 2379, 'everybody': 2380, 'calls': 2381, 'trades': 2382, 'dinner': 2383, 'slip': 2384, 'corner': 2385, 'barn': 2386, 'currabawn': 2387, 'shocking': 2388, 'wet': 2389, 'raindrops': 2390, 'rats': 2391, 'peek': 2392, 'waken': 2393, 'spotted': 2394, 'apron': 2395, 'calico': 2396, 'blouse': 2397, 'frighten': 2398, 'afraid': 2399, 'flaxen': 2400, 'haired': 2401, 'rags': 2402, 'tags': 2403, 'leggins': 2404, 'collar': 2405, 'tie': 2406, 'goggles': 2407, 'fashioned': 2408, 'bag': 2409, 'bulging': 2410, 'sack': 2411, 'peeping': 2412, 'skin': 2413, 'rink': 2414, 'doodle': 2415, 'getting': 2416, 'raked': 2417, 'gladness': 2418, 'tuning': 2419, 'fills': 2420, 'eily': 2421, 'prouder': 2422, 'thady': 2423, 'boldly': 2424, 'lasses': 2425, 'fled': 2426, 'silent': 2427, 'glad': 2428, 'echo': 2429, 'companions': 2430, 'soars': 2431, 'enchanted': 2432, 'granted': 2433, 'adoration': 2434, 'gives': 2435, 'joyous': 2436, 'elation': 2437, 'covered': 2438, 'winter': 2439, 'riding': 2440, 'cherry': 2441, 'coal': 2442, 'falter': 2443, 'bowed': 2444, 'bonnet': 2445, 'courteous': 2446, 'looks': 2447, 'engaging': 2448, 'sell': 2449, 'purse': 2450, 'yearly': 2451, 'need': 2452, 'market': 2453, 'gain': 2454, 'dearly': 2455, 'tarry': 2456, 'although': 2457, 'parlay': 2458, 'ranks': 2459, 'girded': 2460, 'slung': 2461, 'warrior': 2462, 'bard': 2463, 'betrays': 2464, 'rights': 2465, 'faithful': 2466, 'chords': 2467, 'asunder': 2468, 'sully': 2469, 'bravry': 2470, 'londons': 2471, 'sight': 2472, 'workin': 2473, 'sow': 2474, 'wheat': 2475, 'gangs': 2476, 'sweep': 2477, 'expressed': 2478, 'london': 2479, 'top': 2480, 'dresses': 2481, 'bath': 2482, 'startin': 2483, 'fashions': 2484, 'mccree': 2485, 'nature': 2486, 'designed': 2487, 'complexions': 2488, 'cream': 2489, 'regard': 2490, 'sip': 2491, 'colors': 2492, 'wait': 2493, 'waitin': 2494, 'sweeps': 2495, 'beauing': 2496, 'belling': 2497, 'windows': 2498, 'cursing': 2499, 'faster': 2500, 'waiters': 2501, 'bailiffs': 2502, 'duns': 2503, 'bacchus': 2504, 'begotten': 2505, 'politicians': 2506, 'funds': 2507, 'dadda': 2508, 'living': 2509, 'drives': 2510, 'having': 2511, 'racking': 2512, 'tenants': 2513, 'stewards': 2514, 'teasing': 2515, 'raising': 2516, 'wishing': 2517, 'sunny': 2518, 'doves': 2519, 'coo': 2520, 'neath': 2521, 'sunbeam': 2522, 'robin': 2523, 'waters': 2524, 'larks': 2525, 'join': 2526, 'breaks': 2527, 'oftimes': 2528, 'lilies': 2529, 'declining': 2530, 'vale': 2531, 'shades': 2532, 'mantle': 2533, 'spreading': 2534, 'listening': 2535, 'shedding': 2536, 'beginning': 2537, 'spinning': 2538, 'blind': 2539, 'drowsily': 2540, 'knitting': 2541, 'cheerily': 2542, 'noiselessly': 2543, 'whirring': 2544, 'foots': 2545, 'stirring': 2546, 'sprightly': 2547, 'chara': 2548, 'tapping': 2549, 'ivy': 2550, 'flapping': 2551, 'somebody': 2552, 'sighing': 2553, 'autumn': 2554, 'noise': 2555, 'chirping': 2556, 'holly': 2557, 'shoving': 2558, 'wrong': 2559, 'coolin': 2560, 'casement': 2561, 'rove': 2562, 'moons': 2563, 'brightly': 2564, 'shakes': 2565, 'lays': 2566, 'longs': 2567, 'lingers': 2568, 'glance': 2569, 'puts': 2570, 'lazily': 2571, 'easily': 2572, 'lowly': 2573, 'reels': 2574, 'noiseless': 2575, 'leaps': 2576, 'ere': 2577, 'lovers': 2578, 'roved': 2579, 'verdant': 2580, 'braes': 2581, 'skreen': 2582, 'countrie': 2583, 'foreign': 2584, 'strand': 2585, 'dewy': 2586, 'climb': 2587, 'rob': 2588, 'boat': 2589, 'sails': 2590, 'loaded': 2591, 'sink': 2592, 'leaned': 2593, 'oak': 2594, 'trusty': 2595, 'false': 2596, 'reached': 2597, 'pricked': 2598, 'waxes': 2599, 'fades': 2600, 'wholl': 2601, 'cockle': 2602, 'gloom': 2603, 'news': 2604, 'forbid': 2605, 'patricks': 2606, 'napper': 2607, 'tandy': 2608, 'hows': 2609, 'distressful': 2610, 'englands': 2611, 'remind': 2612, 'pull': 2613, 'throw': 2614, 'sod': 2615, 'root': 2616, 'underfoot': 2617, 'laws': 2618, 'blades': 2619, 'growin': 2620, 'dare': 2621, 'show': 2622, 'caubeen': 2623, 'year': 2624, 'returning': 2625, 'store': 2626, 'ale': 2627, 'frequent': 2628, 'landlady': 2629, 'credit': 2630, 'custom': 2631, 'sovereigns': 2632, 'landladys': 2633, 'wines': 2634, 'confess': 2635, 'pardon': 2636, 'prodigal': 2637, 'caress': 2638, 'forgive': 2639, 'ofttimes': 2640, 'wondering': 2641, 'powr': 2642, 'beguile': 2643, 'teardrop': 2644, 'lilting': 2645, 'laughters': 2646, 'twinkle': 2647, 'lilt': 2648, 'seems': 2649, 'linnets': 2650, 'real': 2651, 'regret': 2652, 'throughout': 2653, 'youths': 2654, 'chance': 2655, 'spied': 2656, 'receiver': 2657, 'counted': 2658, 'penny': 2659, 'bu': 2660, 'rungum': 2661, 'chamber': 2662, 'course': 2663, 'charges': 2664, 'filled': 2665, 'ready': 2666, 'footmen': 2667, 'likewise': 2668, 'draw': 2669, 'pistol': 2670, 'couldnt': 2671, 'shoot': 2672, 'robbin': 2673, 'jailer': 2674, 'tight': 2675, 'fisted': 2676, 'army': 2677, 'stationed': 2678, 'cork': 2679, 'roamin': 2680, 'swear': 2681, 'treat': 2682, 'sportin': 2683, 'hurley': 2684, 'bollin': 2685, 'maids': 2686, 'summertime': 2687, 'pluck': 2688, 'yon': 2689}\n",
            "2690\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "soPGVheskaQP"
      },
      "source": [
        "input_sequences = []\n",
        "for line in corpus:\n",
        "\ttoken_list = tokenizer.texts_to_sequences([line])[0]\n",
        "\tfor i in range(1, len(token_list)):\n",
        "\t\tn_gram_sequence = token_list[:i+1]\n",
        "\t\tinput_sequences.append(n_gram_sequence)\n",
        "\n",
        "# pad sequences \n",
        "max_sequence_len = max([len(x) for x in input_sequences])\n",
        "input_sequences = np.array(pad_sequences(input_sequences, maxlen=max_sequence_len, padding='pre'))\n",
        "\n",
        "# create predictors and label\n",
        "xs, labels = input_sequences[:,:-1],input_sequences[:,-1]\n",
        "\n",
        "ys = tf.keras.utils.to_categorical(labels, num_classes=total_words)"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pJtwVB2NbOAP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fe66bfb5-a0de-4a15-92d4-48ec7d3b2c34"
      },
      "source": [
        "print(tokenizer.word_index['in'])\n",
        "print(tokenizer.word_index['the'])\n",
        "print(tokenizer.word_index['town'])\n",
        "print(tokenizer.word_index['of'])\n",
        "print(tokenizer.word_index['athy'])\n",
        "print(tokenizer.word_index['one'])\n",
        "print(tokenizer.word_index['jeremy'])\n",
        "print(tokenizer.word_index['lanigan'])"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "8\n",
            "1\n",
            "71\n",
            "6\n",
            "713\n",
            "39\n",
            "1790\n",
            "1791\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "49Cv68JOakwv",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "573d9b9a-a80e-4c4d-9c04-6f45bb7a920f"
      },
      "source": [
        "print(xs[6])"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 2]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iY-jwvfgbEF8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b6528c85-9e49-4664-abb3-556a98841020"
      },
      "source": [
        "print(ys[6])"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0. 0. 0. ... 0. 0. 0.]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wtzlUMYadhKt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0010fb39-d17a-427a-fbb8-8f546f378354"
      },
      "source": [
        "print(xs[5])\n",
        "print(ys[5])"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[   0    0    0    0    0    0    0    0    0   51   12   96 1217   48\n",
            "    2]\n",
            "[0. 0. 0. ... 0. 0. 0.]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H4myRpB1c4Gg",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "37c887e2-389b-4b30-d259-287e04ddfd9f"
      },
      "source": [
        "print(tokenizer.word_index)"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'the': 1, 'and': 2, 'i': 3, 'to': 4, 'a': 5, 'of': 6, 'my': 7, 'in': 8, 'me': 9, 'for': 10, 'you': 11, 'all': 12, 'was': 13, 'she': 14, 'that': 15, 'on': 16, 'with': 17, 'her': 18, 'but': 19, 'as': 20, 'when': 21, 'love': 22, 'is': 23, 'your': 24, 'it': 25, 'will': 26, 'from': 27, 'by': 28, 'they': 29, 'be': 30, 'are': 31, 'so': 32, 'he': 33, 'old': 34, 'no': 35, 'oh': 36, 'ill': 37, 'at': 38, 'one': 39, 'his': 40, 'there': 41, 'were': 42, 'heart': 43, 'down': 44, 'now': 45, 'we': 46, 'where': 47, 'young': 48, 'never': 49, 'go': 50, 'come': 51, 'then': 52, 'did': 53, 'not': 54, 'said': 55, 'away': 56, 'their': 57, 'sweet': 58, 'them': 59, 'green': 60, 'if': 61, 'take': 62, 'our': 63, 'like': 64, 'night': 65, 'day': 66, 'o': 67, 'out': 68, 'fair': 69, 'this': 70, 'town': 71, 'have': 72, 'can': 73, 'true': 74, 'its': 75, 'thou': 76, 'see': 77, 'dear': 78, 'more': 79, 'theres': 80, 'or': 81, 'had': 82, 'would': 83, 'over': 84, 'hear': 85, 'up': 86, 'ive': 87, 'through': 88, 'home': 89, 'again': 90, 'well': 91, 'oer': 92, 'land': 93, 'good': 94, 'im': 95, 'ye': 96, 'sea': 97, 'left': 98, 'still': 99, 'father': 100, 'long': 101, 'rose': 102, 'could': 103, 'morning': 104, 'wild': 105, 'who': 106, 'eyes': 107, 'came': 108, 'while': 109, 'too': 110, 'back': 111, 'little': 112, 'an': 113, 'took': 114, 'him': 115, 'bow': 116, 'first': 117, 'let': 118, 'man': 119, 'shall': 120, 'know': 121, 'get': 122, 'high': 123, 'gone': 124, 'say': 125, 'ever': 126, 'some': 127, 'mary': 128, 'hand': 129, 'till': 130, 'put': 131, 'own': 132, 'time': 133, 'heard': 134, 'dead': 135, 'may': 136, 'bright': 137, 'mountain': 138, 'early': 139, 'rosin': 140, 'gave': 141, 'thee': 142, 'only': 143, 'far': 144, 'maid': 145, 'must': 146, 'find': 147, 'girl': 148, 'sure': 149, 'round': 150, 'dublin': 151, 'once': 152, 'world': 153, 'delight': 154, 'last': 155, 'johnny': 156, 'seen': 157, 'has': 158, 'fine': 159, 'road': 160, 'mother': 161, 'tis': 162, 'what': 163, 'way': 164, 'moon': 165, 'soul': 166, 'neer': 167, 'id': 168, 'just': 169, 'thats': 170, 'days': 171, 'darling': 172, 'went': 173, 'white': 174, 'die': 175, 'than': 176, 'hair': 177, 'goes': 178, 'meet': 179, 'today': 180, 'do': 181, 'girls': 182, 'shes': 183, 'thyme': 184, 'thy': 185, 'sing': 186, 'pretty': 187, 'new': 188, 'poor': 189, 'into': 190, 'life': 191, 'irish': 192, 'give': 193, 'boy': 194, 'youre': 195, 'make': 196, 'passed': 197, 'lovely': 198, 'black': 199, 'youll': 200, 'died': 201, 'red': 202, 'smile': 203, 'keep': 204, 'loves': 205, 'free': 206, 'leave': 207, 'friends': 208, 'each': 209, 'saw': 210, 'behind': 211, 'song': 212, 'ra': 213, 'dont': 214, 'arms': 215, 'am': 216, 'sun': 217, 'saying': 218, 'made': 219, 'wish': 220, 'cold': 221, 'met': 222, 'before': 223, 'should': 224, 'rocky': 225, 'light': 226, 'wid': 227, 'boys': 228, 'best': 229, 'fields': 230, 'since': 231, 'ball': 232, 'water': 233, 'casey': 234, 'mind': 235, 'along': 236, 'loved': 237, 'place': 238, 'ireland': 239, 'next': 240, 'three': 241, 'many': 242, 'years': 243, 'door': 244, 'us': 245, 'drink': 246, 'got': 247, 'might': 248, 'live': 249, 'roses': 250, 'play': 251, 'soon': 252, 'ground': 253, 'times': 254, 'spent': 255, 'going': 256, 'tree': 257, 'barley': 258, 'grass': 259, 'kind': 260, 'twas': 261, 'bridge': 262, 'around': 263, 'blue': 264, 'tell': 265, 'row': 266, 'how': 267, 'money': 268, 'merry': 269, 'stepped': 270, 'corporal': 271, 'always': 272, 'though': 273, 'near': 274, 'taken': 275, 'ones': 276, 'daughter': 277, 'forever': 278, 'loo': 279, 'shining': 280, 'plenty': 281, 'hes': 282, 'ship': 283, 'banks': 284, 'think': 285, 'very': 286, 'stand': 287, 'heres': 288, 'snow': 289, 'mountains': 290, 'molly': 291, 'wheel': 292, 'street': 293, 'erin': 294, 'side': 295, 'feet': 296, 'star': 297, 'look': 298, 'brave': 299, 'woman': 300, 'sons': 301, 'two': 302, 'says': 303, 'asked': 304, 'lanigans': 305, 'singing': 306, 'men': 307, 'toome': 308, 'stole': 309, 'god': 310, 'hill': 311, 'lonely': 312, 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'chocolate': 1444, 'feegee': 1445, 'sort': 1446, 'moonshiny': 1447, 'stuff': 1448, 'addle': 1449, 'brain': 1450, 'ringin': 1451, 'glamour': 1452, 'gas': 1453, 'guff': 1454, 'whisper': 1455, 'oil': 1456, 'remarkable': 1457, 'policeman': 1458, 'bluff': 1459, 'maintain': 1460, 'guril': 1461, 'sic': 1462, 'passage': 1463, 'rough': 1464, 'borne': 1465, 'breeze': 1466, 'boundless': 1467, 'stupendous': 1468, 'roll': 1469, 'thundering': 1470, 'motion': 1471, 'mermaids': 1472, 'fierce': 1473, 'tempest': 1474, 'gathers': 1475, 'oneill': 1476, 'odonnell': 1477, 'lucan': 1478, 'oconnell': 1479, 'brian': 1480, 'drove': 1481, 'danes': 1482, 'patrick': 1483, 'vermin': 1484, 'whose': 1485, 'benburb': 1486, 'blackwater': 1487, 'owen': 1488, 'roe': 1489, 'munroe': 1490, 'lambs': 1491, 'skip': 1492, 'views': 1493, 'enchanting': 1494, 'rostrevor': 1495, 'groves': 1496, 'lakes': 1497, 'ride': 1498, 'tide': 1499, 'majestic': 1500, 'shannon': 1501, 'sail': 1502, 'loch': 1503, 'neagh': 1504, 'ross': 1505, 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1628, 'divils': 1629, 'divinity': 1630, 'd': 1631, 'likes': 1632, 'logic': 1633, 'mythology': 1634, 'thayology': 1635, 'conchology': 1636, 'sinners': 1637, 'wishful': 1638, 'childer': 1639, 'avick': 1640, 'gad': 1641, 'flock': 1642, 'grandest': 1643, 'control': 1644, 'checking': 1645, 'coaxin': 1646, 'onaisy': 1647, 'lifting': 1648, 'avoidin': 1649, 'frivolity': 1650, 'seasons': 1651, 'innocent': 1652, 'jollity': 1653, 'playboy': 1654, 'claim': 1655, 'equality': 1656, 'comicality': 1657, 'bishop': 1658, 'lave': 1659, 'gaiety': 1660, 'laity': 1661, 'clergy': 1662, 'jewels': 1663, 'plundering': 1664, 'pillage': 1665, 'starved': 1666, 'cries': 1667, 'thems': 1668, 'bondage': 1669, 'fourth': 1670, 'tabhair': 1671, 'dom': 1672, 'lámh': 1673, 'harmony': 1674, 'east': 1675, 'destroy': 1676, 'command': 1677, 'gesture': 1678, 'troubles': 1679, 'weak': 1680, 'peoples': 1681, 'creeds': 1682, 'lets': 1683, 'needs': 1684, 'passion': 1685, 'fashion': 1686, 'guide': 1687, 'share': 1688, 'sparkling': 1689, 'meeting': 1690, 'iull': 1691, 'contented': 1692, 'ache': 1693, 'painful': 1694, 'wrote': 1695, 'twisted': 1696, 'twined': 1697, 'cheek': 1698, 'bedim': 1699, 'holds': 1700, 'smiles': 1701, 'scarcely': 1702, 'darkning': 1703, 'beyond': 1704, 'yearn': 1705, 'laughs': 1706, 'humble': 1707, 'brightest': 1708, 'gleam': 1709, 'forgot': 1710, 'pulled': 1711, 'comb': 1712, 'counting': 1713, 'knock': 1714, 'murray': 1715, 'fellow': 1716, 'hail': 1717, 'tumblin': 1718, 'apple': 1719, 'pie': 1720, 'gets': 1721, 'doleful': 1722, 'enemy': 1723, 'nearly': 1724, 'slew': 1725, 'queer': 1726, 'mild': 1727, 'legs': 1728, 'indeed': 1729, 'island': 1730, 'sulloon': 1731, 'flesh': 1732, 'yere': 1733, 'armless': 1734, 'boneless': 1735, 'chickenless': 1736, 'egg': 1737, 'yell': 1738, 'bowl': 1739, 'rolling': 1740, 'swearing': 1741, 'rattled': 1742, 'saber': 1743, 'deceiver': 1744, 'rig': 1745, 'um': 1746, 'du': 1747, 'rum': 1748, 'jar': 1749, 'shinin': 1750, 'coins': 1751, 'promised': 1752, 'vowed': 1753, 'devils': 1754, 'awakened': 1755, 'six': 1756, 'guards': 1757, 'numbers': 1758, 'odd': 1759, 'flew': 1760, 'mistaken': 1761, 'mollys': 1762, 'robbing': 1763, 'sentry': 1764, 'sligo': 1765, 'fishin': 1766, 'bowlin': 1767, 'others': 1768, 'railroad': 1769, 'ties': 1770, 'crossings': 1771, 'swamps': 1772, 'elevations': 1773, 'resolved': 1774, 'sunset': 1775, 'higher': 1776, 'win': 1777, 'allegators': 1778, 'wood': 1779, 'treated': 1780, 'shoulders': 1781, 'paint': 1782, 'picture': 1783, 'vain': 1784, 'returned': 1785, 'cottage': 1786, 'sociable': 1787, 'foaming': 1788, 'n': 1789, 'jeremy': 1790, 'lanigan': 1791, 'battered': 1792, 'hadnt': 1793, 'pound': 1794, 'farm': 1795, 'acres': 1796, 'party': 1797, 'listen': 1798, 'glisten': 1799, 'rows': 1800, 'ructions': 1801, 'invitation': 1802, 'minute': 1803, 'bees': 1804, 'cask': 1805, 'judy': 1806, 'odaly': 1807, 'milliner': 1808, 'wink': 1809, 'peggy': 1810, 'mcgilligan': 1811, 'lashings': 1812, 'punch': 1813, 'cakes': 1814, 'bacon': 1815, 'tea': 1816, 'nolans': 1817, 'dolans': 1818, 'ogradys': 1819, 'sounded': 1820, 'taras': 1821, 'hall': 1822, 'nelly': 1823, 'gray': 1824, 'rat': 1825, 'catchers': 1826, 'doing': 1827, 'kinds': 1828, 'nonsensical': 1829, 'polkas': 1830, 'whirligig': 1831, 'julia': 1832, 'banished': 1833, 'nonsense': 1834, 'twist': 1835, 'jig': 1836, 'mavrone': 1837, 'mad': 1838, 'ceiling': 1839, 'brooks': 1840, 'academy': 1841, 'learning': 1842, 'learn': 1843, 'couples': 1844, 'groups': 1845, 'accident': 1846, 'happened': 1847, 'terrance': 1848, 'mccarthy': 1849, 'finnertys': 1850, 'hoops': 1851, 'cried': 1852, 'meelia': 1853, 'murther': 1854, 'gathered': 1855, 'carmody': 1856, 'further': 1857, 'satisfaction': 1858, 'midst': 1859, 'kerrigan': 1860, 'declared': 1861, 'painted': 1862, 'suppose': 1863, 'morgan': 1864, 'powerful': 1865, 'stretched': 1866, 'smashed': 1867, 'chaneys': 1868, 'runctions': 1869, 'lick': 1870, 'phelim': 1871, 'mchugh': 1872, 'replied': 1873, 'introduction': 1874, 'kicked': 1875, 'terrible': 1876, 'hullabaloo': 1877, 'piper': 1878, 'strangled': 1879, 'squeezed': 1880, 'bellows': 1881, 'chanters': 1882, 'entangled': 1883, 'gaily': 1884, 'mairis': 1885, 'hillways': 1886, 'myrtle': 1887, 'bracken': 1888, 'sheilings': 1889, 'sake': 1890, 'rowans': 1891, 'herring': 1892, 'meal': 1893, 'peat': 1894, 'creel': 1895, 'bairns': 1896, 'weel': 1897, 'toast': 1898, 'soar': 1899, 'blackbird': 1900, 'note': 1901, 'linnet': 1902, 'lure': 1903, 'cozy': 1904, 'catch': 1905, 'company': 1906, 'harm': 1907, 'wit': 1908, 'recall': 1909, 'leisure': 1910, 'awhile': 1911, 'sorely': 1912, 'ruby': 1913, 'enthralled': 1914, 'sorry': 1915, 'theyd': 1916, 'falls': 1917, 'lot': 1918, 'tuned': 1919, 'bough': 1920, 'cow': 1921, 'chanting': 1922, 'melodious': 1923, 'scarce': 1924, 'soothed': 1925, 'solace': 1926, 'courtesy': 1927, 'salute': 1928, 'amiable': 1929, 'captive': 1930, 'slave': 1931, 'future': 1932, 'banter': 1933, 'enamour': 1934, 'indies': 1935, 'afford': 1936, 'transparently': 1937, 'flame': 1938, 'add': 1939, 'fuel': 1940, 'grant': 1941, 'desire': 1942, 'expire': 1943, 'wealth': 1944, 'damer': 1945, 'african': 1946, 'devonshire': 1947, 'lamp': 1948, 'alladin': 1949, 'genie': 1950, 'also': 1951, 'withdraw': 1952, 'tease': 1953, 'single': 1954, 'airy': 1955, 'embarrass': 1956, 'besides': 1957, 'almanack': 1958, 'useless': 1959, 'date': 1960, 'ware': 1961, 'rate': 1962, 'fragrance': 1963, 'loses': 1964, 'consumed': 1965, 'october': 1966, 'knowing': 1967, 'steer': 1968, 'blast': 1969, 'danger': 1970, 'farthing': 1971, 'affection': 1972, 'enjoy': 1973, 'choose': 1974, 'killarneys': 1975, 'sister': 1976, 'pains': 1977, 'loss': 1978, 'tuam': 1979, 'saluted': 1980, 'drank': 1981, 'pint': 1982, 'smother': 1983, 'reap': 1984, 'cut': 1985, 'goblins': 1986, 'bought': 1987, 'brogues': 1988, 'rattling': 1989, 'bogs': 1990, 'frightning': 1991, 'dogs': 1992, 'hunt': 1993, 'hare': 1994, 'follol': 1995, 'rah': 1996, 'mullingar': 1997, 'rested': 1998, 'limbs': 1999, 'blithe': 2000, 'heartfrom': 2001, 'paddys': 2002, 'cure': 2003, 'lassies': 2004, 'laughing': 2005, 'curious': 2006, 'style': 2007, 'twould': 2008, 'bubblin': 2009, 'hired': 2010, 'wages': 2011, 'required': 2012, 'almost': 2013, 'deprived': 2014, 'stroll': 2015, 'quality': 2016, 'locality': 2017, 'something': 2018, 'wobblin': 2019, 'enquiring': 2020, 'rogue': 2021, 'brogue': 2022, 'wasnt': 2023, 'vogue': 2024, 'spirits': 2025, 'falling': 2026, 'jumped': 2027, 'aboard': 2028, 'pigs': 2029, 'rigs': 2030, 'jigs': 2031, 'bubbling': 2032, 'holyhead': 2033, 'wished': 2034, 'instead': 2035, 'bouys': 2036, 'liverpool': 2037, 'safely': 2038, 'fool': 2039, 'boil': 2040, 'temper': 2041, 'losing': 2042, 'abusing': 2043, 'shillelagh': 2044, 'nigh': 2045, 'hobble': 2046, 'load': 2047, 'hurray': 2048, 'joined': 2049, 'affray': 2050, 'quitely': 2051, 'cleared': 2052, 'host': 2053, 'march': 2054, 'faces': 2055, 'farmstead': 2056, 'fishers': 2057, 'ban': 2058, 'vengeance': 2059, 'hapless': 2060, 'about': 2061, 'hemp': 2062, 'rope': 2063, 'clung': 2064, 'grim': 2065, 'array': 2066, 'earnest': 2067, 'stalwart': 2068, 'stainless': 2069, 'banner': 2070, 'marching': 2071, 'torn': 2072, 'furious': 2073, 'odds': 2074, 'keen': 2075, 'toomebridge': 2076, 'treads': 2077, 'upwards': 2078, 'traveled': 2079, 'quarters': 2080, 'below': 2081, 'hogshead': 2082, 'stack': 2083, 'stagger': 2084, 'dig': 2085, 'hole': 2086, 'couple': 2087, 'scratch': 2088, 'consolation': 2089, 'tyrant': 2090, 'remorseless': 2091, 'foe': 2092, 'lift': 2093, 'stranded': 2094, 'prince': 2095, 'edward': 2096, 'coffee': 2097, 'trace': 2098, 'fiddlin': 2099, 'dime': 2100, 'shy': 2101, 'hello': 2102, 'wintry': 2103, 'yellow': 2104, 'somewhere': 2105, 'written': 2106, 'begin': 2107, 'tap': 2108, 'caught': 2109, 'leap': 2110, 'clumsy': 2111, 'graceful': 2112, 'fiddlers': 2113, 'everywhere': 2114, 'boots': 2115, 'laughtcr': 2116, 'suits': 2117, 'easter': 2118, 'gowns': 2119, 'sailors': 2120, 'pianos': 2121, 'setting': 2122, 'someones': 2123, 'hats': 2124, 'rack': 2125, 'chair': 2126, 'wooden': 2127, 'feels': 2128, 'touch': 2129, 'awaitin': 2130, 'thc': 2131, 'fiddles': 2132, 'closet': 2133, 'strings': 2134, 'tbe': 2135, 'covers': 2136, 'buttoned': 2137, 'sometimes': 2138, 'melody': 2139, 'passes': 2140, 'slight': 2141, 'lack': 2142, 'moved': 2143, 'homeward': 2144, 'swan': 2145, 'moves': 2146, 'goods': 2147, 'gear': 2148, 'din': 2149, 'rude': 2150, 'wherein': 2151, 'dwell': 2152, 'abandon': 2153, 'energy': 2154, 'blight': 2155, 'praties': 2156, 'sheep': 2157, 'cattle': 2158, 'taxes': 2159, 'unpaid': 2160, 'redeem': 2161, 'bleak': 2162, 'landlord': 2163, 'sheriff': 2164, 'spleen': 2165, 'heaved': 2166, 'sigh': 2167, 'bade': 2168, 'goodbye': 2169, 'stony': 2170, 'anguish': 2171, 'seeing': 2172, 'feeble': 2173, 'frame': 2174, 'wrapped': 2175, 'c�ta': 2176, 'm�r': 2177, 'unseen': 2178, 'stern': 2179, 'rally': 2180, 'cheer': 2181, 'revenge': 2182, 'waking': 2183, 'wisdom': 2184, 'dwelling': 2185, 'battleshield': 2186, 'dignity': 2187, 'shelter': 2188, 'heed': 2189, 'inheritance': 2190, 'heavem': 2191, 'heaven': 2192, 'victory': 2193, 'reach': 2194, 'whatever': 2195, 'befall': 2196, 'ruler': 2197, 'pleasant': 2198, 'rambling': 2199, 'board': 2200, 'followed': 2201, 'shortly': 2202, 'anchor': 2203, '23rd': 2204, 'lrelands': 2205, 'daughters': 2206, 'crowds': 2207, 'assembled': 2208, 'fulfill': 2209, 'jovial': 2210, 'conversations': 2211, 'neighbors': 2212, 'turning': 2213, 'tailor': 2214, 'quigley': 2215, 'bould': 2216, 'britches': 2217, 'lived': 2218, 'flying': 2219, 'dove': 2220, 'hiii': 2221, 'dreamt': 2222, 'joking': 2223, 'manys': 2224, 'cock': 2225, 'shrill': 2226, 'awoke': 2227, 'california': 2228, 'miles': 2229, 'banbridge': 2230, 'july': 2231, 'boreen': 2232, 'sheen': 2233, 'coaxing': 2234, 'elf': 2235, 'shake': 2236, 'bantry': 2237, 'onward': 2238, 'sped': 2239, 'gazed': 2240, 'passerby': 2241, 'gem': 2242, 'irelands': 2243, 'travelled': 2244, 'hit': 2245, 'career': 2246, 'square': 2247, 'surrendered': 2248, 'tenant': 2249, 'shawl': 2250, 'gown': 2251, 'crossroads': 2252, 'dress': 2253, 'try': 2254, 'sheeps': 2255, 'deludhering': 2256, 'yoke': 2257, 'rust': 2258, 'plow': 2259, 'fireside': 2260, 'sits': 2261, 'whistle': 2262, 'changing': 2263, 'fright': 2264, 'downfall': 2265, 'cornwall': 2266, 'parlour': 2267, 'passing': 2268, 'william': 2269, 'betray': 2270, 'guinea': 2271, 'walking': 2272, 'mounted': 2273, 'platform': 2274, 'deny': 2275, 'walked': 2276, 'margin': 2277, 'lough': 2278, 'leane': 2279, 'bloomed': 2280, 'whom': 2281, 'cap': 2282, 'cloak': 2283, 'glossy': 2284, 'pail': 2285, 'palm': 2286, 'venus': 2287, 'bank': 2288, 'travelians': 2289, 'babes': 2290, 'freebirds': 2291, 'grew': 2292, 'matters': 2293, 'famine': 2294, 'rebelled': 2295, 'windswept': 2296, 'harbour': 2297, 'botany': 2298, 'whilst': 2299, 'wan': 2300, 'cloud': 2301, 'shannons': 2302, 'returnd': 2303, 'doubts': 2304, 'fears': 2305, 'aching': 2306, 'seemd': 2307, 'mingling': 2308, 'flood': 2309, 'path': 2310, 'wrath': 2311, 'lamenting': 2312, 'sudden': 2313, 'kissd': 2314, 'showrs': 2315, 'flowing': 2316, 'laughd': 2317, 'beam': 2318, 'soared': 2319, 'aloft': 2320, 'phantom': 2321, 'outspread': 2322, 'throbbing': 2323, 'hid': 2324, 'treasures': 2325, 'pots': 2326, 'tin': 2327, 'cans': 2328, 'mash': 2329, 'bran': 2330, 'barney': 2331, 'peeled': 2332, 'searching': 2333, 'connemara': 2334, 'butcher': 2335, 'quart': 2336, 'bottle': 2337, 'help': 2338, 'gate': 2339, 'glory': 2340, 'lane': 2341, 'village': 2342, 'church': 2343, 'spire': 2344, 'graveyard': 2345, 'baby': 2346, 'blessing': 2347, 'hoping': 2348, 'trust': 2349, 'strength': 2350, 'thank': 2351, 'bidding': 2352, 'bread': 2353, 'shines': 2354, 'fifty': 2355, 'often': 2356, 'shut': 2357, 'frisky': 2358, 'pig': 2359, 'whisky': 2360, 'uncle': 2361, 'enlisted': 2362, 'trudged': 2363, 'bosom': 2364, 'daisy': 2365, 'drubbing': 2366, 'shirts': 2367, 'battle': 2368, 'blows': 2369, 'pate': 2370, 'bothered': 2371, 'rarely': 2372, 'dropped': 2373, 'honest': 2374, 'thinks': 2375, 'eight': 2376, 'score': 2377, 'basin': 2378, 'zoo': 2379, 'everybody': 2380, 'calls': 2381, 'trades': 2382, 'dinner': 2383, 'slip': 2384, 'corner': 2385, 'barn': 2386, 'currabawn': 2387, 'shocking': 2388, 'wet': 2389, 'raindrops': 2390, 'rats': 2391, 'peek': 2392, 'waken': 2393, 'spotted': 2394, 'apron': 2395, 'calico': 2396, 'blouse': 2397, 'frighten': 2398, 'afraid': 2399, 'flaxen': 2400, 'haired': 2401, 'rags': 2402, 'tags': 2403, 'leggins': 2404, 'collar': 2405, 'tie': 2406, 'goggles': 2407, 'fashioned': 2408, 'bag': 2409, 'bulging': 2410, 'sack': 2411, 'peeping': 2412, 'skin': 2413, 'rink': 2414, 'doodle': 2415, 'getting': 2416, 'raked': 2417, 'gladness': 2418, 'tuning': 2419, 'fills': 2420, 'eily': 2421, 'prouder': 2422, 'thady': 2423, 'boldly': 2424, 'lasses': 2425, 'fled': 2426, 'silent': 2427, 'glad': 2428, 'echo': 2429, 'companions': 2430, 'soars': 2431, 'enchanted': 2432, 'granted': 2433, 'adoration': 2434, 'gives': 2435, 'joyous': 2436, 'elation': 2437, 'covered': 2438, 'winter': 2439, 'riding': 2440, 'cherry': 2441, 'coal': 2442, 'falter': 2443, 'bowed': 2444, 'bonnet': 2445, 'courteous': 2446, 'looks': 2447, 'engaging': 2448, 'sell': 2449, 'purse': 2450, 'yearly': 2451, 'need': 2452, 'market': 2453, 'gain': 2454, 'dearly': 2455, 'tarry': 2456, 'although': 2457, 'parlay': 2458, 'ranks': 2459, 'girded': 2460, 'slung': 2461, 'warrior': 2462, 'bard': 2463, 'betrays': 2464, 'rights': 2465, 'faithful': 2466, 'chords': 2467, 'asunder': 2468, 'sully': 2469, 'bravry': 2470, 'londons': 2471, 'sight': 2472, 'workin': 2473, 'sow': 2474, 'wheat': 2475, 'gangs': 2476, 'sweep': 2477, 'expressed': 2478, 'london': 2479, 'top': 2480, 'dresses': 2481, 'bath': 2482, 'startin': 2483, 'fashions': 2484, 'mccree': 2485, 'nature': 2486, 'designed': 2487, 'complexions': 2488, 'cream': 2489, 'regard': 2490, 'sip': 2491, 'colors': 2492, 'wait': 2493, 'waitin': 2494, 'sweeps': 2495, 'beauing': 2496, 'belling': 2497, 'windows': 2498, 'cursing': 2499, 'faster': 2500, 'waiters': 2501, 'bailiffs': 2502, 'duns': 2503, 'bacchus': 2504, 'begotten': 2505, 'politicians': 2506, 'funds': 2507, 'dadda': 2508, 'living': 2509, 'drives': 2510, 'having': 2511, 'racking': 2512, 'tenants': 2513, 'stewards': 2514, 'teasing': 2515, 'raising': 2516, 'wishing': 2517, 'sunny': 2518, 'doves': 2519, 'coo': 2520, 'neath': 2521, 'sunbeam': 2522, 'robin': 2523, 'waters': 2524, 'larks': 2525, 'join': 2526, 'breaks': 2527, 'oftimes': 2528, 'lilies': 2529, 'declining': 2530, 'vale': 2531, 'shades': 2532, 'mantle': 2533, 'spreading': 2534, 'listening': 2535, 'shedding': 2536, 'beginning': 2537, 'spinning': 2538, 'blind': 2539, 'drowsily': 2540, 'knitting': 2541, 'cheerily': 2542, 'noiselessly': 2543, 'whirring': 2544, 'foots': 2545, 'stirring': 2546, 'sprightly': 2547, 'chara': 2548, 'tapping': 2549, 'ivy': 2550, 'flapping': 2551, 'somebody': 2552, 'sighing': 2553, 'autumn': 2554, 'noise': 2555, 'chirping': 2556, 'holly': 2557, 'shoving': 2558, 'wrong': 2559, 'coolin': 2560, 'casement': 2561, 'rove': 2562, 'moons': 2563, 'brightly': 2564, 'shakes': 2565, 'lays': 2566, 'longs': 2567, 'lingers': 2568, 'glance': 2569, 'puts': 2570, 'lazily': 2571, 'easily': 2572, 'lowly': 2573, 'reels': 2574, 'noiseless': 2575, 'leaps': 2576, 'ere': 2577, 'lovers': 2578, 'roved': 2579, 'verdant': 2580, 'braes': 2581, 'skreen': 2582, 'countrie': 2583, 'foreign': 2584, 'strand': 2585, 'dewy': 2586, 'climb': 2587, 'rob': 2588, 'boat': 2589, 'sails': 2590, 'loaded': 2591, 'sink': 2592, 'leaned': 2593, 'oak': 2594, 'trusty': 2595, 'false': 2596, 'reached': 2597, 'pricked': 2598, 'waxes': 2599, 'fades': 2600, 'wholl': 2601, 'cockle': 2602, 'gloom': 2603, 'news': 2604, 'forbid': 2605, 'patricks': 2606, 'napper': 2607, 'tandy': 2608, 'hows': 2609, 'distressful': 2610, 'englands': 2611, 'remind': 2612, 'pull': 2613, 'throw': 2614, 'sod': 2615, 'root': 2616, 'underfoot': 2617, 'laws': 2618, 'blades': 2619, 'growin': 2620, 'dare': 2621, 'show': 2622, 'caubeen': 2623, 'year': 2624, 'returning': 2625, 'store': 2626, 'ale': 2627, 'frequent': 2628, 'landlady': 2629, 'credit': 2630, 'custom': 2631, 'sovereigns': 2632, 'landladys': 2633, 'wines': 2634, 'confess': 2635, 'pardon': 2636, 'prodigal': 2637, 'caress': 2638, 'forgive': 2639, 'ofttimes': 2640, 'wondering': 2641, 'powr': 2642, 'beguile': 2643, 'teardrop': 2644, 'lilting': 2645, 'laughters': 2646, 'twinkle': 2647, 'lilt': 2648, 'seems': 2649, 'linnets': 2650, 'real': 2651, 'regret': 2652, 'throughout': 2653, 'youths': 2654, 'chance': 2655, 'spied': 2656, 'receiver': 2657, 'counted': 2658, 'penny': 2659, 'bu': 2660, 'rungum': 2661, 'chamber': 2662, 'course': 2663, 'charges': 2664, 'filled': 2665, 'ready': 2666, 'footmen': 2667, 'likewise': 2668, 'draw': 2669, 'pistol': 2670, 'couldnt': 2671, 'shoot': 2672, 'robbin': 2673, 'jailer': 2674, 'tight': 2675, 'fisted': 2676, 'army': 2677, 'stationed': 2678, 'cork': 2679, 'roamin': 2680, 'swear': 2681, 'treat': 2682, 'sportin': 2683, 'hurley': 2684, 'bollin': 2685, 'maids': 2686, 'summertime': 2687, 'pluck': 2688, 'yon': 2689}\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w9vH8Y59ajYL",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "780acc2c-1897-4dbe-f261-81b7c027f5cf"
      },
      "source": [
        "model = Sequential()\n",
        "model.add(Embedding(total_words, 100, input_length=max_sequence_len-1))\n",
        "model.add(Bidirectional(LSTM(150)))\n",
        "model.add(Dense(total_words, activation='softmax'))\n",
        "adam = Adam(lr=0.01)\n",
        "model.compile(loss='categorical_crossentropy', optimizer=adam, metrics=['accuracy'])\n",
        "#earlystop = EarlyStopping(monitor='val_loss', min_delta=0, patience=5, verbose=0, mode='auto')\n",
        "history = model.fit(xs, ys, epochs=100, verbose=1)\n",
        "#print model.summary()\n",
        "print(model)\n"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "377/377 [==============================] - 12s 10ms/step - loss: 6.8326 - accuracy: 0.0643\n",
            "Epoch 2/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 5.7276 - accuracy: 0.1084\n",
            "Epoch 3/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 4.6349 - accuracy: 0.1852\n",
            "Epoch 4/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 3.6784 - accuracy: 0.2764\n",
            "Epoch 5/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 2.7918 - accuracy: 0.3950\n",
            "Epoch 6/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 2.1339 - accuracy: 0.5142\n",
            "Epoch 7/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.6352 - accuracy: 0.6215\n",
            "Epoch 8/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.3652 - accuracy: 0.6815\n",
            "Epoch 9/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.1383 - accuracy: 0.7283\n",
            "Epoch 10/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.0435 - accuracy: 0.7487\n",
            "Epoch 11/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9856 - accuracy: 0.7623\n",
            "Epoch 12/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9522 - accuracy: 0.7670\n",
            "Epoch 13/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9610 - accuracy: 0.7626\n",
            "Epoch 14/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9540 - accuracy: 0.7568\n",
            "Epoch 15/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9327 - accuracy: 0.7567\n",
            "Epoch 16/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9185 - accuracy: 0.7616\n",
            "Epoch 17/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9013 - accuracy: 0.7665\n",
            "Epoch 18/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8949 - accuracy: 0.7713\n",
            "Epoch 19/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8377 - accuracy: 0.7846\n",
            "Epoch 20/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8375 - accuracy: 0.7796\n",
            "Epoch 21/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8707 - accuracy: 0.7745\n",
            "Epoch 22/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8739 - accuracy: 0.7686\n",
            "Epoch 23/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8277 - accuracy: 0.7808\n",
            "Epoch 24/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8144 - accuracy: 0.7894\n",
            "Epoch 25/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8501 - accuracy: 0.7733\n",
            "Epoch 26/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8602 - accuracy: 0.7719\n",
            "Epoch 27/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8603 - accuracy: 0.7716\n",
            "Epoch 28/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8840 - accuracy: 0.7659\n",
            "Epoch 29/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8129 - accuracy: 0.7795\n",
            "Epoch 30/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7486 - accuracy: 0.8011\n",
            "Epoch 31/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7139 - accuracy: 0.8037\n",
            "Epoch 32/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.6878 - accuracy: 0.8136\n",
            "Epoch 33/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7203 - accuracy: 0.8081\n",
            "Epoch 34/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7681 - accuracy: 0.7917\n",
            "Epoch 35/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9075 - accuracy: 0.7558\n",
            "Epoch 36/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.0188 - accuracy: 0.7358\n",
            "Epoch 37/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9561 - accuracy: 0.7488\n",
            "Epoch 38/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8859 - accuracy: 0.7643\n",
            "Epoch 39/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8185 - accuracy: 0.7829\n",
            "Epoch 40/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7585 - accuracy: 0.7964\n",
            "Epoch 41/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7542 - accuracy: 0.7990\n",
            "Epoch 42/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7364 - accuracy: 0.8096\n",
            "Epoch 43/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7893 - accuracy: 0.7916\n",
            "Epoch 44/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8268 - accuracy: 0.7843\n",
            "Epoch 45/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8702 - accuracy: 0.7664\n",
            "Epoch 46/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9420 - accuracy: 0.7539\n",
            "Epoch 47/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 1.0252 - accuracy: 0.7325\n",
            "Epoch 48/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9110 - accuracy: 0.7574\n",
            "Epoch 49/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7815 - accuracy: 0.7859\n",
            "Epoch 50/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7765 - accuracy: 0.7918\n",
            "Epoch 51/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7184 - accuracy: 0.8158\n",
            "Epoch 52/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7166 - accuracy: 0.8112\n",
            "Epoch 53/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7676 - accuracy: 0.7966\n",
            "Epoch 54/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7792 - accuracy: 0.7929\n",
            "Epoch 55/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8295 - accuracy: 0.7793\n",
            "Epoch 56/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8550 - accuracy: 0.7698\n",
            "Epoch 57/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8956 - accuracy: 0.7618\n",
            "Epoch 58/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9398 - accuracy: 0.7491\n",
            "Epoch 59/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8588 - accuracy: 0.7664\n",
            "Epoch 60/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7661 - accuracy: 0.7897\n",
            "Epoch 61/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.6928 - accuracy: 0.8164\n",
            "Epoch 62/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.6920 - accuracy: 0.8214\n",
            "Epoch 63/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7123 - accuracy: 0.8098\n",
            "Epoch 64/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7244 - accuracy: 0.8076\n",
            "Epoch 65/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7890 - accuracy: 0.7928\n",
            "Epoch 66/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8713 - accuracy: 0.7678\n",
            "Epoch 67/100\n",
            "377/377 [==============================] - 4s 11ms/step - loss: 0.8631 - accuracy: 0.7710\n",
            "Epoch 68/100\n",
            "377/377 [==============================] - 4s 11ms/step - loss: 0.8652 - accuracy: 0.7650\n",
            "Epoch 69/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8170 - accuracy: 0.7793\n",
            "Epoch 70/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7580 - accuracy: 0.7919\n",
            "Epoch 71/100\n",
            "377/377 [==============================] - 4s 9ms/step - loss: 0.7592 - accuracy: 0.7998\n",
            "Epoch 72/100\n",
            "377/377 [==============================] - 4s 9ms/step - loss: 0.7365 - accuracy: 0.8018\n",
            "Epoch 73/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7559 - accuracy: 0.8004\n",
            "Epoch 74/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7236 - accuracy: 0.8069\n",
            "Epoch 75/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7334 - accuracy: 0.8015\n",
            "Epoch 76/100\n",
            "377/377 [==============================] - 4s 9ms/step - loss: 0.8155 - accuracy: 0.7834\n",
            "Epoch 77/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8325 - accuracy: 0.7764\n",
            "Epoch 78/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8424 - accuracy: 0.7747\n",
            "Epoch 79/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8372 - accuracy: 0.7749\n",
            "Epoch 80/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7975 - accuracy: 0.7879\n",
            "Epoch 81/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7563 - accuracy: 0.7938\n",
            "Epoch 82/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7528 - accuracy: 0.7959\n",
            "Epoch 83/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7655 - accuracy: 0.7921\n",
            "Epoch 84/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7620 - accuracy: 0.7941\n",
            "Epoch 85/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7263 - accuracy: 0.8042\n",
            "Epoch 86/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7326 - accuracy: 0.7971\n",
            "Epoch 87/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7318 - accuracy: 0.8037\n",
            "Epoch 88/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7281 - accuracy: 0.8052\n",
            "Epoch 89/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7738 - accuracy: 0.7925\n",
            "Epoch 90/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.9116 - accuracy: 0.7656\n",
            "Epoch 91/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8079 - accuracy: 0.7829\n",
            "Epoch 92/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.8349 - accuracy: 0.7802\n",
            "Epoch 93/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7876 - accuracy: 0.7914\n",
            "Epoch 94/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7399 - accuracy: 0.7994\n",
            "Epoch 95/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7096 - accuracy: 0.8135\n",
            "Epoch 96/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7515 - accuracy: 0.8017\n",
            "Epoch 97/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7310 - accuracy: 0.8065\n",
            "Epoch 98/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7865 - accuracy: 0.7915\n",
            "Epoch 99/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7251 - accuracy: 0.8069\n",
            "Epoch 100/100\n",
            "377/377 [==============================] - 4s 10ms/step - loss: 0.7406 - accuracy: 0.8037\n",
            "<tensorflow.python.keras.engine.sequential.Sequential object at 0x7ff0f7884908>\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3YXGelKThoTT"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "def plot_graphs(history, string):\n",
        "  plt.plot(history.history[string])\n",
        "  plt.xlabel(\"Epochs\")\n",
        "  plt.ylabel(string)\n",
        "  plt.show()"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "poeprYK8h-c7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "outputId": "36b66e7b-da0c-4003-be0f-c69c6a7cb8fd"
      },
      "source": [
        "plot_graphs(history, 'accuracy')\n"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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F5VWUV1WjquwrKufyV5ZxoLiS168by2Un9eHKcX15ePpwRibG8MhnG32uYtqSW8hbP+zk8pP6MDC+8Y29E5Lj2FtUwYY9R38QePt03W4y95Uw84zkJv3Hu3VSMsUV1bz63XafP7M2K59trmIubIaeLuBOSs9fPobQUOHmN1dSWlF9zM/MXrGL2A6RTBrSuIFFhyR0bsdpyXG8vzKL6qMk4kXpLm59ZzWjenfm5atOIDKs6V1fDzl3RC8iQkO45a2VPDAnjS/Tcti1v4SySvffw9pdB7n5jZVMfXYxVTXK7JvG+aXu/ZKU3iR2accTX27m4c828t3WvTxywXDOGBLvyNiUlmaNxW3Yq99n8vWmPB44bxjDE2J4sOdwSitqeOqrdJ77ZisV1TWHjw0NEUJFCAmB164dy/G9O//kvYemDWf689/z1Pwt3Hde7WUjjvTI3I20jwjljsmDmnQNp3mqlBZv2evTLJk1Ncpz32xlUPcOnDWsafWwg3t05OzhPfjX95lcf1p/Ytode6DXhyuziAwLYepI3xvGjyWxS3uevmQU185awZ8/Wc/jF42sN8Ht2l/C15vyuPG0/sfspuuLS1J685u3V7F4i4uJtUasZh8s5fMf9/DEl5sZGN+Rf107ttm7NMa0D+eZGaN4e/lOZq/YyawlmYffax8RSklFNZ2iwph5xkCuGZ/kt2qXiLAQfjt5EHe+v5a03QVcd0o/Lm6B0dktxRJBG7Vm10Ee/Xwjk4d25+rxSYC7Yez/LhzB0J4d2VdcQVRYKFHhIVTVKCUVVZRW1DB1RA9Skroe8fuO792Zy8b2YdaS7Vx0QiLDeh05SrWssprUzAN8uSGHbze7+OPUoXRt4mjH+E5RDOnRkUXpLm6ZOOCYx8/fmEt6bhHPzBjVLNUTMycN5PP1Ocz6PpPbJx85KthbeVU1c9bu5qzjejTr6GCAiYPjuXVSMs8u2MKpA2OZPrruRuhHPttIRGgIV53c+PYJb5OHxdOlfTjvpe46nAi+2ZTH01+lszYrH4DRfTrzj6tSfEqUjXH2iJ6cPaIn5VXVrNl5kB37SnAVlbO3qJyEzu245MTedGzmv+/GmD46gdeX7SA2OoL/mTrE3+E0K0sELSw9t5CsAyVMHBTf6AdZXmEZv3ojle6doo749hgWGsINpzWuN8fdPx/M5+tzuPH1VK48uS+/GJNA53YRLEx38fHqbL7elEdpZTURoSGcPbwHVzWhsdTb6YPiePX77RSXVx11lKmq8vevt5LUrT3njGieb+TH9YrhZ8O688/vMrju1KSjPnC+3phHfmklF45peE8hX9x+ZjJLtu7lz5+s58R+XX/S+wXguy17+SIth7vOGtRsC85EhoVywehE3liWyb6icj5dt4e//CeNpNho7pkyhCnDezR60FljYjmpf7cGdcdtSaEhwke3jCdEWn69CadZImhB76fu4k8fr6e8qoYhPTpyx+RkzhrWo0EJoaKqhlveXEVBaRUf3jK+yfOPeOvcPoIXLh/D4/M28+jnm3h83maiI0IpKKuiW3QEF52QyBlD4hjXv1uzVhFMGBTHS4syWJaxjzOH1l/dszDdxY/Z+Tx24chmnbDutknJnLchl7d/2MmvTq+/VPLhqiziO0ZyWrIzU6GHhghPXTKKKU8v4s731vD2DeMO/9uorK7hgf+450xqbKKvzyUn9ubV77dz5T+Xs2FPAZOHxvPspaP9MiFcaxcI7QF1sTvdAsqrqvnLfzbw9g87GT+gG9NHJfDiwm3c/OYqhvToyO+nDOaMwfGHv2XkFZax3VXMCX27/OSBp6o84JnT/++Xja6z+qapTurfjQ9uGc82VxHve2ZnPGdET05Njm2WOum6pCR1ISo8hEXprnoTwaHSQK+YqHqrTRprRGIMJ/fvxr++z+TaU/rVOdo3w1XEN5td3Hhaf0cfBr27tuf+84/j9x+s45XvMrhpgjsxvbYkk615RbxyVUqzzFPkbXCPjhzfuzNrdx3k6pP7ct95xwXsA8/UzRKBwyqqarhu1gq+37qPWyYO4M6fDSIsNIQLT0hkztpsnv5qC9fNSuXEpC5MHdGTrzbmsnTbPmrU3avjinF9mTw0ngWb8vhwZRZb8oq4+fQBPk/l0FgD4jpw79ktUw8aGRbKuP7dWLSl/tW8fti+n9QdB3hw2nFNmpahPjdO6Md1s1L57MfdXDD6yB5Bf52fTmRYCDec1q/Zz13bxScksmBjLo9+vonXl+4gpl04Ga5iJg6O48yhTespVJ/HLxrJtrwipgzvEXDVHubYbK4hB6kqd76/lo9WZfP4RSPr7GVQWV3Duyt28cyCLbgKy0nq1p7zj+/FgPgOzF6+i6UZ/x3NeELfLlx8QqJ76twA+8b26nfbefDTDSz+/Rl1DhK64pUf2JxbyOLfn9Hs34jB3RvprKcXEREawme3nfqTh+H67HzO/dt33DppIHeeNbjZz12X/JJKXly0jdz8MvJLK6moruHh6cObPHbBBC+ba8hPnl2wlY9WZfPbyYPq7WoWHhrCFeP6cuGYRHbnl9I/NvrwQ2jaqAQ25RSwfPt+JiTHNWpOmrbi0OyZC9NdXFFrGuvVOw/w3da9/M/UIY4kAXD3uLrh1H7c+9GPLN22j/FeA5Yen7eZmHbhzV43fzQx7cO5Z0pg9UwxrZcNKHPIx6uzeeqrdC4ck8htZx57AZZ2EaEMiDtyubohPTpx1clJAZ0EAAbERZMc34EXvt1Ggdegtuoa5fF5m+ncPpzLT2qeXkr1mT46gdgOEfxj8X+nnfghYx8LPV1bneo+aYy/WSJwQFllNX/5Txopfbvwv78YYXWuPhARHrtoJDkFZdz/yeFlrXls3iaWbNvHPVOGOL6ASVR4KFeOS+KbzS7+/PF6Hvp0A3/+ZD3xHSO5upkXtDGmNbGqIQfMWbubAyWV/O6sQY40bAaq0X26MPOMgTyzYAtnDo2nqlp5aWEGl5/Uh0vH9mmRGK48uS8fr8nm4zXuieUA/nL+ccdcyMSYtszRRCAiU4BncC9e/4qqPlrr/aeAMzyb7YF4Ve1MG6aqzPo+k8HdO3JyKx0Y05rNnDSQb9Nd/M9HP1JWVcNJ/bpy/3nHtdj5u0ZH8M1dE1vsfMa0Bo59XRWRUOA54GxgGHCpiPxkEhtV/a2qjlLVUcDfgI+ciqelrMg8wIY9BVxzSpJVCTVCeGgIT18yispqJa5DJM9fPsZKVcY4zMkSwVhgq6pmAIjIbGAasKGe4y8F7ncwnhYxa8l2YtqFM70RC5YYt36x0cyZeQox7cPb5NzuxrQ1Tn7VSgC8JzrP8uw7goj0BfoBX9fz/k0ikioiqS5Xw1ezainZB0uZl5bLjLG9rU65iZK7dyS+o+/LFxpjGq+1lLlnAB+oap2Tsavqy6qaoqopcXHOzPPSHN5ctgNV5SrrYWKMaUOcTATZgPcoqkTPvrrMAN5xMBbHqSofrcrizKHdj5g10hhjWjMnE8EKIFlE+olIBO6H/ZzaB4nIEKALsNTBWBy3a38puQXlnN6IpRONMcafHEsEqloFzATmARuB91Q1TUQeFJHzvQ6dAczWtjbpUS3LM/cDMLbfkYu+GGNMa+boOAJVnQvMrbXvvlrbDzgZQ0tJzdxPTLtwBsZ18HcoxhjTIK2lsbjNW5G5n5S+XZpl+URjjGlJlgiawb6icra5iutcC9gYY1o7SwTNIHXHAQDG9uvi50iMMabhLBE0g9TM/USEhTA8IcbfoRhjTINZImgGyzMPMCqxM5FhNprYGNP2WCJoopKKKtKy80lJsmohY0zbZImgidbsOkhVjXKijR8wxrRRlgiaaMX2A4jAmD5WIjDGtE2WCJoodcd+BnfvaOvZGmPaLEsETaCqrN550NoHjDFtmiWCJsg+WEpReRVDe3bydyjGGNNolgiaID23EIDB3Tv6ORJjjGk8SwRNsDmnCHCvpmWMMW2VJYIm2JJbSI9OUdZQbIxp0ywRNMHm3EIG9bDSgDGmbbNE0EjVNcrWvCIGxdv6A8aYts0SQSPt3F9CeVWNlQiMMW2eJYJG2pzj7jE0yBqKjTFtnKOJQESmiMhmEdkqIvfWc8wvRWSDiKSJyNtOxtOctni6jiZb1ZAxpo1zbM1iEQkFngN+BmQBK0Rkjqpu8DomGfgDcIqqHhCReKfiaW6bcwvp3bUd0ZGOLvtsjDGOc7JEMBbYqqoZqloBzAam1TrmRuA5VT0AoKp5DsbTrLbkFjEo3qqFjDFtn5OJIAHY5bWd5dnnbRAwSES+F5FlIjKlrl8kIjeJSKqIpLpcLofC9V1FVQ3bXEXWUGyMCQj+biwOA5KBicClwD9EpHPtg1T1ZVVNUdWUuLi4Fg7xSJn7iqmqUQZ1t/YBY0zb52QiyAZ6e20nevZ5ywLmqGqlqm4H0nEnhlbt0BxD1mPIGBMInEwEK4BkEeknIhHADGBOrWM+xl0aQERicVcVZTgYU7NIzykkRGBAnJUIjDFtn2OJQFWrgJnAPGAj8J6qponIgyJyvuewecA+EdkAfAPcrar7nIqpuaTnFpHULZqocFus3hjT9jna91FV5wJza+27z+u1Ar/z/LQZ6bmFVi1kjAkY/m4sbnMqqmrI3FdMsjUUG2MChCWCBnIVlVOj0KtzO3+HYowxzcISQQPl5JcB0KNTlJ8jMcaY5mGJoIHyCtyJIL5TpJ8jMcaY5mGJoIFyCqxEYIwJLJYIGii3oJzwUKFL+wh/h2KMMc3CEkED5RaUEd8xipAQ8XcoxhjTLCwRNFBuQRk9YqxayBgTOCwRNFBOQRndraHYGBNALBE0UF5BOd2todgYE0AsETRAUXkVReVVlgiMMQHFEkED2GAyY0wgskTQADaYzBgTiCwRNIANJjPGBCJLBA2QW1AOYG0ExpiAYomgAXILyugYGUZ0pKPLOBhjTIuyRNAAuQVldLfBZMaYAGOJoAFsMJkxJhD5lAhE5CMROUdEGpQ4RGSKiGwWka0icm8d718jIi4RWeP5uaEhv7+l2WAyY0wg8vXB/jxwGbBFRB4VkcHH+oCIhALPAWcDw4BLRWRYHYe+q6qjPD+v+Bp4S6upUXfVkCUCY0yA8SkRqOpXqno5MAbIBL4SkSUicq2IhNfzsbHAVlXNUNUKYDYwrTmC9od9xRVU1ah1HTXGBByfq3pEpBtwDXADsBp4BndimF/PRxKAXV7bWZ59tV0oIutE5AMR6V3PuW8SkVQRSXW5XL6G3KxyPWMIrI3AGBNofG0j+DewGGgPnKeq56vqu6p6K9ChCef/D5CkqiNxJ5TX6jpIVV9W1RRVTYmLi2vC6Rrvv4nASgTGmMDia4f4Z1X1m7reUNWUej6TDXh/w0/07PP+7D6vzVeAx3yMp8UdGkxmaxEYYwKNr1VDw0Sk86ENEekiIr8+xmdWAMki0k9EIoAZwBzvA0Skp9fm+cBGH+NpcTkFZYhAbAerGjLGBBZfE8GNqnrw0IaqHgBuPNoHVLUKmAnMw/2Af09V00TkQRE533PYbSKSJiJrgdtwt0G0SnkFZcR2iCQ81IZeGGMCi69VQ6EiIqqqcLhr6DFXb1fVucDcWvvu83r9B+APvofrPzaYzBgTqHxNBF8A74rIS57tX3n2BY3cgnISOlv7gDEm8PiaCO7B/fC/xbM9H3fjbtDILShjdJ/Oxz7QGGPaGJ8SgarWAC94foJOeVU1+4srbDCZMSYg+ZQIRCQZ+F/cU0Ucfhqqan+H4mpVXIWH1iGwNgJjTODxtQvMv3CXBqqAM4DXgTedCqq1yfMkgviOViIwxgQeXxNBO1VdAIiq7lDVB4BznAurdTlUIojraCUCY0zg8bWxuNwzBfUWEZmJe4RwU6aWaFP+WyKwRGCMCTy+lghuxz3P0G3ACcAVwNVOBdXauArLEYGu0cccOmGMMW3OMUsEnsFjl6jqXUARcK3jUbUyrsIyukVHEGajio0xAeiYTzZVrQZObYFYWi1XYTlx1lBsjAlQvrYRrBaROcD7QPGhnar6kSNRtTLuRGDtA8aYwORrIogC9gGTvPYpEBSJIK+wnOTuHf0dhjHGOMLXkcVB1y5wSE2NsrfISgTGmMDl68jif+EuAfyEql7X7BG1MgdLK8sy2MQAABBOSURBVKmsVus6aowJWL5WDX3q9ToKuADY3fzhtD42mMwYE+h8rRr60HtbRN4BvnMkolYmr9C9VrFNL2GMCVSN7RifDMQ3ZyCtlZUIjDGBztc2gkJ+2kaQg3uNgoBn00sYYwKdTyUCVe2oqp28fgbVri6qi4hMEZHNIrJVRO49ynEXioiKSEpDgm8JrsJy2keEEh3pa3OKMca0LT4lAhG5QERivLY7i8j0Y3wmFHgOOBv3OgaXisiwOo7riHsuox8aEnhLySsst9KAMSag+dpGcL+q5h/aUNWDwP3H+MxYYKuqZqhqBTAbmFbHcQ8B/weU+RhLi3IVlln7gDEmoPmaCOo67lh1JQnALq/tLM++w0RkDNBbVT/zMY4W5y4RWI8hY0zg8jURpIrIkyIywPPzJLCyKSf2rG/wJHCnD8feJCKpIpLqcrmactoGs3mGjDGBztdEcCtQAbyLu4qnDPjNMT6TDfT22k707DukIzAc+FZEMoFxwJy6GoxV9WVVTVHVlLi4OB9DbrqyymoKy6osERhjApqvA8qKgXp7/dRjBZAsIv1wJ4AZwGVevzMfiD20LSLfAnepamoDz+MYG0NgjAkGvvYami8inb22u4jIvKN9RlWrgJnAPGAj8J6qponIgyJyflOCbimHRhVbIjDGBDJfO8fHenoKAaCqB0TkmCOLVXUuMLfWvvvqOXaij7G0GJcNJjPGBAFf2whqRKTPoQ0RSaKO2UgDTZ5VDRljgoCvJYI/At+JyEJAgNOAmxyLqpVwFZYTItAt2hKBMSZw+dpY/IWnN89NwGrgY6DUycBaA1dhOd06RBIaIv4OxRhjHOPrpHM34J4GIhFYg7ur51J+unRlwLHpJYwxwcDXNoLbgROBHap6BjAaOHj0j7R9NpjMGBMMfE0EZapaBiAikaq6CRjsXFitQ15hmZUIjDEBz9fG4izPOIKPgfkicgDY4VxY/udetL7CSgTGmIDna2PxBZ6XD4jIN0AM8IVjUbUC+0sqqK5Rm3DOGBPwGrzaiqoudCKQ1iavwMYQGGOCQ2PXLA54OQXu3rE9Y6xEYIwJbJYI6rH7oHueoZ4x7fwciTHGOMsSQT1y8ssIDRGrGjLGBDxLBPXYnV9K9442qtgYE/gsEdQjJ7+MHtY+YIwJApYI6pGTX0bPztY+YIwJfJYI6qCq7M4vpWcnKxEYYwKfJYI65JdWUlZZY1VDxpigYImgDnvy3V1He1nVkDEmCFgiqMOefPdgMisRGGOCgaOJQESmiMhmEdkqIvfW8f7NIvKjiKwRke9EZJiT8fjqUInARhUbY4KBY4lAREKB54CzgWHApXU86N9W1RGqOgp4DHjSqXgaYs9B92Aym3DOGBMMnCwRjAW2qmqGqlYAs4Fp3geoaoHXZjSgDsbjsz357nUIbDCZMSYYNHj20QZIAHZ5bWcBJ9U+SER+A/wOiKCepS9F5Cbc6yXTp0+fZg+0tpyCUqsWMsYEDb83Fqvqc6o6ALgH+FM9x7ysqimqmhIXF+d4THsOltlkc8aYoOFkIsgGenttJ3r21Wc2MN3BeHyiquyx6SWMMUHEyUSwAkgWkX4iEgHMAOZ4HyAiyV6b5wBbHIzHJwWlVZRWVlvVkDEmaDjWRqCqVSIyE5gHhAKvqmqaiDwIpKrqHGCmiEwGKoEDwNVOxeOr3fmHFqSxqiFjTHBwsrEYVZ0LzK217z6v17c7ef7GyPGMIbCqIWNMsPB7Y3Frc6hE0KuzJQJjTHCwRFBLTn4ZIQJxHWxlMmNMcLBEUIt7MFkUYaH2V2OMCQ72tKtlT34pPa1ayBgTRCwR1LInv8y6jhpjgoolAi+q6l6i0rqOGmOCiCUCLwWlVZRU2GAyY0xwsUTgZU+BLUhjjAk+lgi87NxXAkBil/Z+jsQYY1qOJQIvGXuLAegfF+3nSIwxpuVYIvCS4SoitkMknaLC/R2KMca0GEsEXjJcxVYaMMYEHUsEXjL2FtM/1hKBMSa4WCLwOFhSwf7iCisRGGOCjiUCj20uT0NxbAc/R2KMMS3LEoHHdusxZIwJUpYIPDJcRYSFCL272hgCY0xwsUTgkeEqpk+39oTb9NPGmCDj6FNPRKaIyGYR2Soi99bx/u9EZIOIrBORBSLS18l4jiZjb5G1DxhjgpJjiUBEQoHngLOBYcClIjKs1mGrgRRVHQl8ADzmVDxHU12jZO4rYYC1DxhjgpCTJYKxwFZVzVDVCmA2MM37AFX9RlVLPJvLgEQH46lX9oFSKqpqrKHYGBOUnEwECcAur+0sz776XA98XtcbInKTiKSKSKrL5WrGEN227S0CoH+cVQ0ZY4JPq2gZFZErgBTg8breV9WXVTVFVVPi4uKa/fwZnjEE/WxUsTEmCIU5+Luzgd5e24mefT8hIpOBPwKnq2q5g/HUa/veIjpFhdEtOsIfpzfGGL9yskSwAkgWkX4iEgHMAOZ4HyAio4GXgPNVNc/BWI7KPdlcB0TEXyEYY4zfOJYIVLUKmAnMAzYC76lqmog8KCLnew57HOgAvC8ia0RkTj2/zlE266gxJpg5WTWEqs4F5tbad5/X68lOnt8XxeVV5BSUMcAaio0xQapVNBb70+E5hqyh2BgTpII+EWzJKwRgQLyVCIwxwSnoE8H67AKiwkOsRGCMCVqWCLLzGdqzE2E22ZwxJkgF9dOvpkbZsLuA4b1i/B2KMcb4TVAngp37Sygsr2J4Qid/h2KMMX4T1Ilg/e58AI6zEoExJogFdyLILiA8VBjUvaO/QzHGGL8J6kSQtjufwT06EhEW1H8NxpggF7RPQFVlfXa+NRQbY4Je0CaC3fllHCip5LgESwTGmOAWtIlgfba7oXh4L+sxZIwJbkGbCNKy8wkNEYb2tERgjAluQZsI1u8uYEBcNFHhof4OxRhj/Cp4E4E1FBtjDBCkiSCvoIy8wnJrKDbGGII0EaTtLgCsodgYYyBIE8GyjH2EhwrDrURgjDHOJgIRmSIim0Vkq4jcW8f7E0RklYhUichFTsbibWG6i5S+XYmOdHSlTmOMaRMcSwQiEgo8B5wNDAMuFZFhtQ7bCVwDvO1UHLXtyS9lU04hEwfHtdQpjTGmVXPyK/FYYKuqZgCIyGxgGrDh0AGqmul5r8bBOH5iUboLgImD41vqlMYY06o5WTWUAOzy2s7y7GswEblJRFJFJNXlcjUpqG83u+jRKYpB3W2NYmOMgTbSWKyqL6tqiqqmxMU1vkqnsrqG77bsZeLgOESkGSM0xpi2y8lEkA309tpO9Ozzm9U7D1JYXsXpg6x9wBhjDnEyEawAkkWkn4hEADOAOQ6e75i+3ZxHWIhwSnKsP8MwxphWxbFEoKpVwExgHrAReE9V00TkQRE5H0BEThSRLOBi4CURSXMqHnB3Gx3TtwudosKdPI0xxrQpjnakV9W5wNxa++7zer0Cd5WR4/IKy0jbXcDdPx/cEqczxpg2o000FjeHRel7AWz8gDHG1BI0iaBTVBg/G9adYbb+gDHG/ETQzLFw1nE9OOu4Hv4OwxhjWp2gKREYY4ypmyUCY4wJcpYIjDEmyFkiMMaYIGeJwBhjgpwlAmOMCXKWCIwxJshZIjDGmCAnqurvGBpERFzAjkZ+PBbY24zhtBXBeN3BeM0QnNcdjNcMDb/uvqpa5xw7bS4RNIWIpKpqir/jaGnBeN3BeM0QnNcdjNcMzXvdVjVkjDFBzhKBMcYEuWBLBC/7OwA/CcbrDsZrhuC87mC8ZmjG6w6qNgJjjDFHCrYSgTHGmFosERhjTJALmkQgIlNEZLOIbBWRe/0djxNEpLeIfCMiG0QkTURu9+zvKiLzRWSL588u/o61uYlIqIisFpFPPdv9ROQHz/1+V0Qi/B1jcxORziLygYhsEpGNInJykNzr33r+fa8XkXdEJCrQ7reIvCoieSKy3mtfnfdW3J71XPs6ERnT0PMFRSIQkVDgOeBsYBhwqYgM829UjqgC7lTVYcA44Dee67wXWKCqycACz3aguR3Y6LX9f8BTqjoQOABc75eonPUM8IWqDgGOx339AX2vRSQBuA1IUdXhQCgwg8C737OAKbX21XdvzwaSPT83AS809GRBkQiAscBWVc1Q1QpgNjDNzzE1O1Xdo6qrPK8LcT8YEnBf62uew14DpvsnQmeISCJwDvCKZ1uAScAHnkMC8ZpjgAnAPwFUtUJVDxLg99ojDGgnImFAe2APAXa/VXURsL/W7vru7TTgdXVbBnQWkZ4NOV+wJIIEYJfXdpZnX8ASkSRgNPAD0F1V93jeygG6+ykspzwN/B6o8Wx3Aw6qapVnOxDvdz/ABfzLUyX2iohEE+D3WlWzgSeAnbgTQD6wksC/31D/vW3y8y1YEkFQEZEOwIfAHapa4P2euvsLB0yfYRE5F8hT1ZX+jqWFhQFjgBdUdTRQTK1qoEC71wCeevFpuBNhLyCaI6tQAl5z39tgSQTZQG+v7UTPvoAjIuG4k8BbqvqRZ3fuoaKi5888f8XngFOA80UkE3eV3yTcdeedPVUHEJj3OwvIUtUfPNsf4E4MgXyvASYD21XVpaqVwEe4/w0E+v2G+u9tk59vwZIIVgDJnp4FEbgbl+b4OaZm56kb/yewUVWf9HprDnC15/XVwCctHZtTVPUPqpqoqkm47+vXqno58A1wkeewgLpmAFXNAXaJyGDPrjOBDQTwvfbYCYwTkfaef++Hrjug77dHffd2DnCVp/fQOCDfqwrJN6oaFD/AVCAd2Ab80d/xOHSNp+IuLq4D1nh+puKuM18AbAG+Arr6O1aHrn8i8KnndX9gObAVeB+I9Hd8DlzvKCDVc78/BroEw70G/gJsAtYDbwCRgXa/gXdwt4FU4i79XV/fvQUEd6/IbcCPuHtUNeh8NsWEMcYEuWCpGjLGGFMPSwTGGBPkLBEYY0yQs0RgjDFBzhKBMcYEOUsExniISLWIrPH6abYJ20QkyXsmSWNak7BjH2JM0ChV1VH+DsKYlmYlAmOOQUQyReQxEflRRJaLyEDP/iQR+dozB/wCEenj2d9dRP4tIms9P+M9vypURP7hmUv/SxFp5zn+Ns8aEutEZLafLtMEMUsExvxXu1pVQ5d4vZevqiOAv+Oe7RTgb8BrqjoSeAt41rP/WWChqh6Pe/6fNM/+ZOA5VT0OOAhc6Nl/LzDa83tudurijKmPjSw2xkNEilS1Qx37M4FJqprhmdQvR1W7icheoKeqVnr271HVWBFxAYmqWu71O5KA+epeVAQRuQcIV9WHReQLoAj3NBEfq2qRw5dqzE9YicAY32g9rxui3Ot1Nf9tozsH91wxY4AVXrNoGtMiLBEY45tLvP5c6nm9BPeMpwCXA4s9rxcAt8DhtZRj6vulIhIC9FbVb4B7gBjgiFKJMU6ybx7G/Fc7EVnjtf2Fqh7qQtpFRNbh/lZ/qWffrbhXCLsb92ph13r23w68LCLX4/7mfwvumSTrEgq86UkWAjyr7iUnjWkx1kZgzDF42ghSVHWvv2MxxglWNWSMMUHOSgTGGBPkrERgjDFBzhKBMcYEOUsExhgT5CwRGGNMkLNEYIwxQe7/A4T/MJlBEbtRAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6Vc6PHgxa6Hm",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "faf9476a-3796-41d6-8f23-5ca8265f43c0"
      },
      "source": [
        "seed_text = \"I've got a bad feeling about this\"\n",
        "next_words = 100\n",
        "  \n",
        "for _ in range(next_words):\n",
        "\ttoken_list = tokenizer.texts_to_sequences([seed_text])[0]\n",
        "\ttoken_list = pad_sequences([token_list], maxlen=max_sequence_len-1, padding='pre')\n",
        "\tpredicted = model.predict_classes(token_list, verbose=0)\n",
        "\toutput_word = \"\"\n",
        "\tfor word, index in tokenizer.word_index.items():\n",
        "\t\tif index == predicted:\n",
        "\t\t\toutput_word = word\n",
        "\t\t\tbreak\n",
        "\tseed_text += \" \" + output_word\n",
        "print(seed_text)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/engine/sequential.py:450: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n",
            "  warnings.warn('`model.predict_classes()` is deprecated and '\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "I've got a bad feeling about this noon that neat little world betrays lies town i antrim gone and gone and gone gone gone gone gone gone sinking sinking find it had a view ones coaxin onaisy of someone from someone there i gone oer thy love gone and gone gone and gone gone gone and shes gone and stainless then shes left me more by day is the rocky sea tune town gone gone gone gone gone gone ones turning grey now gone than me now unseen take our own native back now gone and gone and iii gone gone alas gone gone gone laughing gone\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y1jn2kG44V40"
      },
      "source": [
        "\r\n",
        "I've got a bad feeling about this noon \r\n",
        "that neat little world betrays lies \r\n",
        "town i antrim gone and gone \r\n",
        "and gone gone gone \r\n",
        "gone gone gone \r\n",
        "sinking \r\n",
        "sinking \r\n",
        "find it had a view \r\n",
        "ones coaxin onaisy of someone \r\n",
        "from someone there i gone \r\n",
        "oer thy love gone \r\n",
        "and gone gone and gone \r\n",
        "gone \r\n",
        "gone \r\n",
        "and shes gone \r\n",
        "and stainless \r\n",
        "then shes left me \r\n",
        "more by day \r\n",
        "is the rocky sea tune town \r\n",
        "gone gone gone \r\n",
        "gone gone gone \r\n",
        "ones turning grey \r\n",
        "now gone \r\n",
        "than me now unseen \r\n",
        "take our own native back now gone and gone and iii gone gone alas gone gone gone laughing gone"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xZ79nxc721nX"
      },
      "source": [
        "[Find the link to generating text using a character-based RNN](https://www.tensorflow.org/tutorials/text/text_generation)"
      ]
    }
  ]
}