deepspeech.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "name": "deepspeech.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "iceSWjVgES-q"
      },
      "source": [
        "import os\n",
        "from os.path import exists\n",
        "import wave\n",
        "\n",
        "!pip install -q deepspeech-gpu==0.9.3 youtube-dl\n",
        "\n",
        "if not exists('deepspeech-0.9.3-models.pbmm'):\n",
        "  !wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm \n",
        "if not exists('deepspeech-0.9.3-models.scorer'):\n",
        "  !wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer\n",
        "  #!tar xvfz deepspeech-0.9.3-models.tar.gz\n",
        "\n",
        "from IPython.display import YouTubeVideo,Audio"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "T270b8VU4Y0t"
      },
      "source": [
        "pre-trained model files\n",
        "\n",
        "* `.pbmm` ...for TensorFlow runtime\n",
        "\n",
        "* `.tflite` ...for TensorFlow Lite runtime"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WhyJ-ZqBFkea"
      },
      "source": [
        "!apt-get install -qq sox"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZgyTOKQK43x0"
      },
      "source": [
        "sox - The Python and Node.JS clients use SoX to resample files to 16kHz."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4ofRtaUgEcjD"
      },
      "source": [
        "from urllib.parse import urlparse, parse_qs\n",
        "\n",
        "urltext ='https://youtu.be/BOIxl0kJmV4'\n",
        "args = [urltext]\n",
        "video_id = ''\n",
        "\n",
        "\n",
        "def extract_video_id(url):\n",
        "    query = urlparse(url)\n",
        "    if query.hostname == 'youtu.be': return query.path[1:]\n",
        "    if query.hostname in {'www.youtube.com', 'youtube.com'}:\n",
        "        if query.path == '/watch': return parse_qs(query.query)['v'][0]\n",
        "        if query.path[:7] == '/embed/': return query.path.split('/')[2]\n",
        "        if query.path[:3] == '/v/': return query.path.split('/')[2]\n",
        "    # fail?\n",
        "    return None\n",
        "\n",
        "for url in args:\n",
        "    video_id = (extract_video_id(url))\n",
        "    print('youtube video_id:',video_id)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "id": "7gLjrT6uE45a",
        "outputId": "3644890c-f209-4c6f-d2ce-8c495509f6c6"
      },
      "source": [
        "YouTubeVideo(video_id)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "        <iframe\n",
              "            width=\"400\"\n",
              "            height=\"300\"\n",
              "            src=\"https://www.youtube.com/embed/BOIxl0kJmV4\"\n",
              "            frameborder=\"0\"\n",
              "            allowfullscreen\n",
              "        ></iframe>\n",
              "        "
            ],
            "text/plain": [
              "<IPython.lib.display.YouTubeVideo at 0x7f6b5adfe7f0>"
            ],
            "image/jpeg": 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dYquOzZqNO5PKJzj8FxcKHVnco5X9NULuw0G/25psj4ya8hL1ST6Nvh1UoxxIl1ONQPHVasWmDU0S4jzHNQfpB4oLbeSyRjng67jte5sd+MOJoo2nMRe2o3toqaxrjtm40F/bbkozxljhfcuNgoTR1gfKGRjM7fM4gAXIbrc6AlwHfqNFqhpV7GG7WNe+ET+u4tc71BYfE+fcmqtxqQ9+qMS4WqmNLnAAf0SPrbumDDnTOcRYkA2OYAfRomeUlyIVjl0yWYZXFw1FilzmXCT0dM7Jtaw5a/Ul+WzR5JUmOinjkpbpGpssxtsRde8C4GJHZn+o3fxtrZPXSVh7nvaWtJ5G3LuT5wxTiOJrDYE2J8yuh5rVKS7OUqM3uTEvElZG4GBrbZW37hpqLKBFqsXiKjAPW9zHNP0g+xV48q2nfBTX8tP3NEg1WLlkSvCVrMB9hUL5Ps42rtP9crv+rqf2q2f571w/77Xf9XVftkxi1U2fVxC+Un+e9d+OV3l8sqv2qzbxtXEX+WV4Hf8ALKm36ZRknyX9D6sIXyrj42rbXNbXeH+t1X7Za5uOa23+212m/wDrdVfX/wA6yMh5L+h9WEL5PO47rb/7ZXeyrqef/mrF/HVb+O13/V1P7VSR5L+h9Y0L5Rw8bVuYA1tfY/8A+up7v7VSXh7ietcSPlde617gVdYfgJULl4IlVJex9N0L5s8KVWJulBdNiIZd2rquqGg20M2t1aNDU1ttZ6sDT/vU/wC1S52YeFyaqtDKay2kdqoXFf8Al+padaiqtrf/AFiffl/KJm4o4xqGxkipqgbcqifu5WkBv4BEZ5eMBZotsW9yO7ULhKjjrIKdk81VWdZPdxa6qqiI472aMrpSA4jW/imDjLiiqZTSv+V1mgsz/W6gXcbWLbS8gV0I6KxrJxnq4KW0+hiF8jDx7Xfjtd/1U/7RLKPjyuOhra7w/wBbqP2qzxqcjU3g+s6F8mD0gV97fLK7/q6n9qt9Jx/Wc6yv/wCrqf2yt5D+aKuaR9YEL5jYbxZUuDga2vylt2u+WVe/l13mEifxXWNGtbXbfjlX+2ARGhvrBDtSPqMhfLEcYVlv9srv+sqv2yTVPG1YNqyv/wCsqf2qs9NJfIotRF/M+q6F8nxxtXm3+u13f/tdT+1WVXxZiFiRW11gCf8Aa6jkL85FR0tF1Yj6vLjL0pf97Tf2cP6Jq7Li2HkFxv6UQ/hab+zh/RNWa3o0V9lQYh6p32+pIMOKccV9UpooBoPZdIwMH6tP3v2j602NTjOPvR802sTIlJsURlb2BJ4UoaVZlTbGlEYWhi3RlQyUKWhbAtbFtAUFhPKE31oTjOE2VR3UYJZC+JT2gnzgGqN2i+scjXD+qdD8dUwcSestvCFSGyi/MEe3l8QFMo5ReEsNHdWOxmZkGU2YWZ3Hf8FtvrVOdIONxMLmmXSPskjQX5i+5Plsrw4FcJKOI33iy3Hhoq/i6Iy0umDg6RkzaiMyNDm52PEjc7Ni0EWt9K5lcoqWGd6SzHK7KYoYS9oqI453RlxAfq5pLfWtbWwOhNrXuL7qT4HjrL9q4PinvgHhmSjZMyZ5kdO4vcWtIGZz3PcbEmwJceyNrnvXhwmIPLnX1voOfd7RfS6LpxXRo0lM5LMi2uC6Bk8Jde9tj4hVZ08YZlOZux+lXjwRhLYoRlblEgzlvzSWjT61XvTFS5mE9xWKzEcNGjTydk5Rb4OWMa4XmlaXDYHQE2v4+QS3hDozld1bnSNayOQyWALnZnhgcdAOTG2ueXirDpowRlO2y30uCytv1c2UHS2W+nvTo6tx4JloVNcoW4xKMuV2wAAubnT4BRp0AJIjA73HuH1lSrCOCDI777M5w5hoA+OpUkxLh6KKPKxtu/vPtSbLs9GirRY4wV66INbb2fBMFfLbRS7EKayiONR6qK+xN8ccEbrHarGuw3M1rgSO/wCpaa6W3vT7HSuexjWC9yM2uwW7PGTnwXrG+eC9JMSdm6exVY5Wvx1F1MDox+EBfnvyVVELTpc7cnP8Ua8xY+QncFrLlvLFqeFsUkc1MUCP4fH2LPIP1rGI87LZm337k19kowkb9vq8lkIbC1xvsPrB7lm0+f61ua+2oHrcu7wPhzVSTyJt2G9gW6jflz8ytUhJGoJuL6c/tul8eQjle1rHv+wSfEH22F/gEE4Gxuixkb5fX7FmDvpoOQ7k88GYR1s7QfVb2new6X9oVZz2rJeqDnJJEy4J4LaWiScEuOobfQAjnbUnXbxU9wKJrB2Wtb4eN/DdbqqmyBjeZOotbkttMbNLnbAX22XI8yc59nqI6WuqC4Fbq4g3uAtsOMG9r7jXY/8A0qdk4zzzmx7INhrvrrp71MeD5C+799dT7dAPFNtnOD7IrhXYsrBMcSdpm+tR7gtzJ8Uo4H2cwzdY5pOh6u7rHwvbzslmN1waw68vo0UZ9G2q6zHInaHKZCD/AEQwi3vXZ0a3bWeX8Uk4KSj0WL0th3yiRpdYGTK0X797AA6XCoHpcr3NlMIJyFjSQddRpp3BXn07GT5W42cBmcWlvla+gVCdLNKBKzKCT1X3x2pBdmJvsORC7Vkny0+Pc8rpIrzOfxIItmUeKyiZrrdKyB9rLFGtPOTryngxZk0uTotzJox3/Dv80CkFr3F/8ElMHO/irZ9oi8J/MXzY7plaDbYeS0nFHH6D5fSksEVzyW6ePnoOXilbXHks8dG5lQ4/T/gk08jvd7lmyCxBvvuL7LXO6x3v7vio3MpFLPB7DWeHJK6mv7BFjrcewixTRn+K9fJff7d6X5mRvlrOT7Iw7DyC409KYfwtN/Zw/oguy4th5Bcb+lCP4Wn/ALOH9EFjt6NNfZT1d6pTXTeqE71/qu8kzUTuyEhDXwSE/wAU7+t+pNsbV7jjyKSYgkEMzAjvBaqx/wAty9n74/Y318U2CyLmWpG1KWNVUsxub+cf7/8ABb4sbl/nH+9TgqWq1bYgqsbjcv8AOP8AetgxmX+cf71PZPRa8IW5VIMal/nJPyivTjEp/lH/AJRVdpJac4TXVhV67EZPnv8AyisRO483HzKOgFfELhn0SKnfYg92qxJRdSXR296NOLulw+Nx5PkjH9w2N/b9SsPEYXgdnXTvIP0Wsqk9EGsBwsN0zRVkgd5PDXD33V/CMFvfouROrM2kd6N+yMXgqHF8EnkNgWNvzJJ+Aal3CnALGOEkrjI9urRswHvtqTbx9yk+LCx7l5HibWZQSLuIHtJssrznDOo5ScPR7/IkELrD4KnumCQ7Dnf4K3hC523LWyr3pKow5hdpmubK90XtTFeGNKx/gUrBHp5J1pKtuxKbao5Xa7JgxiqGcNvbX6Vm2OR1VPYyyaHEcpFis8ZxTMLKraiukj2u5o94Sqix/ON9eY5q8ahy1MfcfMUqFGa83ulNTVX3WijFyU6KwcrUzUpZRCsdiylSvgasHV35gWTLxdDYE9xUIGNyRG0ZsCNdL+S0xjvWDmzujU8sk/SlW3aG31c74NGvxVcualVZVOe4ucbn7e5JnrfVDbHBxNTd5s3I0S+1YgXWb2rFpTfwEm6N3+JW2w7tO/vWmHzFz9vJbQ3VOfbLpHjxpbu38lvjm15W5iy0Dv7tl6HC9zpc69yqSLaZmji0DbTTe611A5k622009nctkJNwAdC0ad1kiqYSMw0uDqd7j9SANDnfQDurJ6HWNALzu5+XUX0FtPebqs2t57G1tuXJWx0LUI6tz+5zj5WG/wAFm1f2DoeGxcrUkSviCv8AvpA5AAd2gP1KPdJXEPV0zgDZ0gytA03Nj8AUs4ckzyTF1iWyaeWS/P6lWHS9V3nDATaNlte8m/0WWTR1eo7Hil3l0Z93wMfCODunlaxpLRe73fNaOf1BX1TSMhiDG2sxo8zYanuud1FejfCmRUJnLgHy3I0vo0kAE/gjf3qCcScVOcS1l9ed9r7i23tT55ttwlwjm6acNHp9z5ch06ReMy/71GbAElzr63PIfrUHoa98ZzRvex3JzHOaRffVpB1SYleLoLjo4Ntjsk2x3k4lqDvUVB85ZD9LknmxmV3rSyHze4/Em6QIVlOS9xO1fI2vqCdyfeVrLl4vSoc2/cnAXRdeIUZJBe3XiFAAvSvF6SpA8QhCgD7LQ7DyC419KM/wtN/Zw/omrsqHYeQXGnpRD+Fp9v4uD9E1Lt6GV9lT17eyfJMlIdB7U/Vo7JUehk0HmUkax5rYc1PI3XtRvHwuP1qA03C7ebne4KyInAxkW3BHvaQmelhCmD7KzRGY+D2/Pf8ABYP4eA/Cd9vYpmIkjq4lfItkGqIMpsvGJVjJs8rQ0KVgujwBehZNRZWJR6UWQvSUBgAsmhYLZGFDLnQ3oY4m7r6imuMj4OuAv+HE5oFvNrjfyC6shr7BcJ+jnjYgxOne8hrHF0byTYWkY5ov4Zsq7Vq36XaQQdlzb3snlHZ0eLYYl7DHx7jgYC6/K/wVZcEVz6uruScrNW91xqD3L3pkrHWyi5zafVZbejAfJowdM79T4eGveVm2bnlncV0a61GJdMvEfUg5/eCPj3KqeMuLml0jR3aX+lK8agln27gNTp4//ar7E+E3guzSEa7fUN/cnyhGxYyYIN1ybiuyuOPOMHMvYan2D2qHcP4tLLJckk8/BWhjuEU7GWf98ffTuHemOibGxt2M3NiQOfIKZKMI4LJTby2a58ZNtfekLa0Zs2xW/E3AB2aNwDBmOw8e/n3JJgBjmDsmbsnXT1Sb92405LPtaWQlbl4yTCCC7WnvWE/ZF1opJiyHvym103VNYXad3JUjyUnIRY/PmY72/RcKtKkbHw+tTbiGuAaQNyFFquC0bSd7/BbqPScvVtyQ2uWDitpWLwtxyhPItZC2yBa3KyLoVRU5sNO8glZOiK3ysPeOXu9qX1/qgtHPvHcOQTJcchDLXI1ilc5psCbDM4gEgC9iTpoAdL7LWWWOrbcrEaqSYOHOaGl/ZBdduY2GbUg2aLjQdnXVSfj6hzGB7vvV6SLqz1Mg6xjQ9okdewe5zge3pewS3IZ7ECoKi4N7A6G9tbLfUm7btO24O/knV1HD+HLMS7T73EwXPIduS+p0F+9SPGqOmgpWOAkfJK5zssoY10XV3ab5C64J5XHJWjyQnkq009u/XvVodEVceoewDYuv5EBVxiutiLC+41071MOiF/alBdlGTMNhfcc+dgs+phuidLwuSVw48DVeaeoBaSRJc21sLZRcexV30gt/1mU6+tb4DRWn0W4Nmkq6ps0bWda6Eh4uCbMcJC/O1oHbygE7nwS3iDo3ilhF6qASB73yy2bZxkddosZRlyss21ze10iN1dU3n6JnI8U//S6N5005PfGTziMn+HS+TKLZisgj6oPdkvfLfRI1bX+iCL/iFL7mft0f6H4v+IUvub+2Wn4mpe/8n+Rxn41pn3N/wz/xKkQrb/0Qxf8AEKb8lv7dejofi/4hTe5n7dT8VX8/5P8AIh+MaVfrP+GX+JUaFbn+h6L/AIjS+5n7dA6H4v8AiNL7mft0fFVfP+T/ACD9MaX7z/hl/iVGhW3/AKIIv+I0vuZ+3R/ofi/4hTe5v7dHxVXz/k/yD9MaX7z/AIZ/4lSIVt/6H4v+I0vuZ+3TRxx0ZimpvlLamOZudrLMZoS6+zxI4aWIIQtTW2lnl/Rlq/FtNZJQjLl8LMZL+qRXaEITzoghCEACEL1AH2Vh2HkFxl6Un+95/wCzh/QtXZsOw8guMvSlH8Lzf2UP6JqXb0Mr7KqqxofJR+k2I9vxUgrNio/QO1PmfrSExzJPh3qHv5e5N9PHonDBn9k+X2+lJYFMWUnjg9ypPVsS8N0SOqKt+BTBA8aH3wpMEpxk/fCtLQroukzGyyssiF4pySC8IXpCGtQiUACzaV5dFypRGTJjvpXafQ5xMKigp3XOaKMQycyTGcoced3Cx71xSVbXo48bdRMYHmzJy21zazwezb+sLtJ/qrNqat0eDZpL9ksHSHFmFskcDpdozfC4VaYji3VSAvNm2Nz4c/oU0qcWyksO19D3/wCCi/G+ENd1LxqCDnHiTY+xc1el8nYT3DTw30ntraoUcB6plvXOheB62QbnS51srYoujOM5TPUXOd4cA5rA5pa4Q21zAk9rc32VN9KHo/ExtqsPdkka0PLAXNJda+aNzTdrr6rDoJ6NZ3B81a4uuBDaV7nPa2MdlvbvawJDbbWPetaimsoh12uWE+Pn/YmVRhWGwTSieaEWjzszyNOXI8Nfpfc526b6FVlxjxxCOuioos4c8OjmtaO5tmOUgOdlINjYA3U24i6K4esBswNvfYd/uuFvrOEKZgGhda12gaEcx4XCVLb7myvQyby23/I5040xSeV5aNOua1hjZqDbzubk63FtNOSsbgrh35PTNYf4xxzyHxOgaD/RGnndPhwSOMgtaL3NidwCdAD4JczZItuzHai/wca25e/RH6yAdUR/SUOxBpa82OhNvLQKXYnUWzee30/qUGxOsudDsdUUrKMF7xwMWPSZpGsHt+r4pRxHDaMeFv1FJ8EjzzF3zf13T1i9GXjILXJAGthcnTXxWndiSMMo5g8EGeFiU/YpwlUx+vE8eIGYe9qZHxEGxBB7iLH3FbnI5JqctLin7D+GaiQXjikI77WHnd1r+xOcPRpVHcRt/rP19wBUeZFdllBm3G+CKuPq3Ppqm0sQkYRE912nkSxpyutycAdk/Q9HdWXUVO+LJJXOY2Bz75HBzQS5zgDlyDNmZuNLrqSjxV3Vx9q33pnM8o29xHxW6KpN9Wi4sWuGhF+bTuDzuNV0J0N9MXG7k5I4n4XnopnU87cj2OtfUtcHC7XsdYZg8C422OlwsuK6p75GlxzBkbWN10a1oNmN7m6k27yr46bcUbFSTOIc6SrLIHF9ni0bi5tsw7Fhm7Tde1uqLmjL35WtLiQAABqfLwA8Ul17V6uxm/JEJh2mnxHmDfv89U94lG5+gGbJA55sdru1Pv1KmFF0VSyNzPeyKxBAsXuPgbaD4qR8C8IkT1bJALso+zbYghxJHtA9yqniOGR3wjnqaa5Pt+m2y109QWkEXvt5hZVDQLW+3dr5LWd9NVRrI2Pp9y8/RsH3seOMUd/+po1IeHOkOrmxY0VTI6qoqrEpqCemnAkj6p9U+NhjLgTE+JpDmuYQbMHhaGdFGKmmoJ6kNzGmrIakMJsHGB9NKGE2Ng4stextfmtvCfSZHLUy/wCTqGmo66rdLI2rnqp6kxyyBznup2yNEUE7g57RLlNr2Sa+Zza+ZwfDn/r6jPPr/wDlDLifAuG0ULZ691dMKmrq4aSOkfBFlpqKoNO+aaSaOTM97wcsbGgdgkuFwlVX0S0lO+tqKmWpkw+mp6OppupEUdTVMxQE0jCZA+KLIGyiV+U/xRLW9oBNZ4nNLC3DsWw5tU2mkklpc889NJF15DpmtmhJE0Erg19uRzG+ujpwn0iS1U1e+eLD5aerhp45aKarjw9gjpbMoxQzSyNyPpgPnElrnkgly1Lk6TWCM9K3ClHFR4fWULqssrzVh7KoxF8ZpZIowwGFjWu9dx6z8IFvZZYhVvdXN6RONwOpcKpIPkjTSR1L5IqOX5RDAKmZjooXVOd4qKgNjLpZGusXO003plBAIuhACkAQheKAPQrbrP8As9H/AMyf0siqUBW3XNtw9HfT/WT+lkWfUfqftL+5zPE+6f3sf6MqIoXpXi0HTBeheLNjEAjBeoWTQgnB9k4th5Bca+lF/vaf+zh/QtXZUOw8guM/Si/3vP8A2cH6FqVb0Xr7KrrXdk+SjlF7N1I6xnZPkmKgpXG4DTus6kjRsbJFgJ0+Cif+ecIJBzixI9X/ABU54ewuTTsn2271WFR0dVDnv0aLvdz5En7WUwsh7siVE3jCHp3HkH/iH+7+spDU8cQ20bJ7m/8AySrCuh+Zx7brDwBv8bqV4L0INNy8vIFrajXv2A9ymWopj7jYeH3z9ir/AJV1hLwDqee62NjOwBPkL/Qr6wvonjAADBp9tVPuG+jSMW7LR7As0vEKomyvwq19nL2GcM1EvqRusBckiwttYE/Qk2KYRJG7K9pB9tveu35eH2NbkY0H3fUFWnHPCGbNdvf4222WdeJ+rhcGmfhGIcPk5dAWQUy4m4Qc0nKNft9tFEKmnLTZwI+3JdKFsZ9M49tE4Pk1leOWQCxcnIV2YlewylpBBsV4dkW5ICPBfHR7xkaiIRyO++RkWJ3dYb+0fEFWjFTkxg8hv4Xsfdf61Ceg3oiJw+SslaRNMCae+mSNo0e0WuHPdqD823es+HuNi9pjkFnwOc14ue1lFza29xe3csF9R0tLqfmdBcNTh0Qb3NH0LGSNoaQQL8jbdRTo8xtrho4WIFj32+PMD2KXYhQ3F+9ZoTceDsVzXaIJita0Ei2gUNxvFy64apfxPgTjfKO+6hMGEPDiXFoHIFLnJG9aqyXAxvJO6xqCQ0nuCdJ5Wjfkojxljjcpa0+aQk2yl0sLLZEuK8SDbm58VC/lDnXPIAnTwXnE+I5ja99UYTTOkIAvkB7R7+8Lo1w2x5OBZPfPgeuDaezC87vNx5cv1pwrhofBbHvDQO4Lyhw98xsNGnS/M+Q+tJllvKG5jFci3h3iqoe4RjtC1iTqQBpqeasTDOHGutJK1jnjY5QSFp4U4bbE0ZQLj7alSMxH7bJrnJrGTC4xzlIxyDkFg2De+61VmIBo7h3pmosWfMS2EXaDZ0luzcbgfOI+CFH5kZ9kTWnqCWR8vvQuPAsZYgdw5pfT1dxa+1gR3kaXB5WITHh3qRk/zTb8j6rQfZst+LYiIYZZTe0THSWJ5gEj2ZivTQz2zkSfRVnTjxCZKllO05mwbgfz0mp7yS2+Sx+cQpTgGACnYCReRzQXHcjT1NRcW+Kr7oowUVMr6iZzjkkEhG+eRxznMTyvrbZXZXFrrad+bWw35Ln22rdgelgQYZNmDhyA0unTC6kCWocB6tG4E6agBxIHlvZNdDCASLanML32GtitlU3K2cgmxp3g37zE7W/mEiTyNr7OUZWgtvry09iSsvffl3dyze3S530FvYCtJOo1P/2mp8E9stLhr/c1f/XP/thVRYHXmKVkgAuxwIve3tsrd4NiLsHrhzL3e3swlUqs+n7mvqcHw54uv/ef2R2dgxpq+maJ44543C4B0cxwu0mOS4ey1+8jwUD469GRxD5sMmbKz1hTyHLK3va1w7Mmu2g0tqot6OvFYY75O97yZDaJtrtaQO+/Pay7E4PbkaHFpB0IHMfYIjN1yafR6dxjdDOOTidno+4qQCKZ3atYf1u/utqvMS9H/Fo/+6Pfrl7BaT52uNF9GcLkBsb6bj7dyVOqBvy/wTVqIsy+QfNnBugDFpQSKSRuXfrC1h9gJ1TVxt0RYhRgOnppQ12mZrXPAPiWiy+mMle37FI6rExYhwBF9RoQfMc/NMc8dlVTk+VkWDyl4YIpS9xsGhj8xJ2Aba91Z3DHQBXSNzz9XSs/8Y9u39m3X2Ehdh8ZcVxs1ZDGHX0ORtwdtLC+qhprXTHM8lxOtnHTkLDuSvOy8I0x0WFufRWGGdHtHQMM2X5RJGM/WTAZW2Ghjj2zX2vrsodxrihmwUzHeStc7awsZpLactLLd6RvFFv9VZcZrGQHcAagA910z1n/AGej/wCZP6WRUuTW3P3kcHxrbvp2+1kf6MqQoAQV61ajceWTnglPmP8Adfpz0CbpApHwMB1jS7btDzByg2A81WXRaK5wR2aOxI8VvpIr3Gnqk38gSlXEMOV5ttc29p8VjhV7OI2DHX9rSPrUbuC6jiWD7Bw7DyC4x9KL/e8/9lB+hauzodh5Bck9NOGibiIxO2f8mzf1REC4e4Ee1UufpChZng34N0dNZQxSSD77KDI+41aHaxtPk21/ElIqPhhrdAOd9h+pWDxpxC0dkHQaewKDScSi/JcK2c3Lg9pTp6oVrd2OFFgjR9a9i4aaTc9/km1nE3jutB4yAuL7fUsyjay6lUiWNwqNu1ktY1gHL3Kvo+MQTunRnFbLKk6ZjVqK/Yl7JANVkcW5Dc9yiFNxCZXtjjbmJOtr6eJ00CnvDOAdrM4exJsra4GqyO3cyUcIYKXjM7nvdaeN6NgaWi3ibfbyUg/yoGMytUUxIOmflGveUyaSjtXZyaJWWXOyfEUVDxNgTSb2Ve8Q8KtduNh3X9y6druDwG3dyHx7/NVrxHhABOnP3K1VsoPDNM4VXJuPJzRjPCTm3y7d1lGZoi3QgjwK6Rr8KaeSiuLcFdZ2WNvfQfYrr0635nG1HhuOYlKEKRdF3Doqq6mpjtNOxj/6l8z/AP0ByvfgToIptHVLi92+UGzR4EDU+9XtwPwFRwOY+GGMOa4Oa4NGYEb2J1vb61uVu45U63HslNXgZMXVsFg1oY1o0AaBYWHkFz7ifBTYp6htQ0xCYAwygHK2QetqLDUW33XVA8PZ+tMXGeDsljLZGhwItrz8vJS4Jio2YOOOHMcNJMWkdlpsbba8/I/BXVw9x0HsA033v7/Z4qIY5wIIKnNM29JI10UpdvC4kGKS/wAwOu0nlmBOgJTPxFwTUUzr0x6yPcD8IacuTgdx5rJbBZ5Orp7mllE54t4gsCb7qu6/iMOvr8UyYnX1DxZ0Mwtv2DYcjrtuoTViZpPYfbyt77lK8tG741+xJsaxvW4PKyrTibFu0Rffl+pPhwmeTuYO/n+pbKfhVrDncMzuRPf4DZWjWkzPbqHMheE8OulOd/ZadQOZH1KTktjAa0eAA+26dTRvcbNBA5k6e7TVLqDCmsve5J5ncp21z7Msrow67GvBcGc8h0m3Jv6+9WXw3hFhtYact/JIuGcOuczths39f6lKnygDuAS5Rx6UL3ufqkZukA8FEOJ+L447tvmcPwG6n28h7Uzcc8UvLupgBzu7IsNR3uPcB8Vt4T4AsM0u7tXcy4n5xP0ISUeyG3LoZ8Fw6or35pS6KmBvlaSHSEci7Q5eRyq1YaZkMYawNa1rbADkAvYmNY0NA0GwC0Ti+rzYd3h4qkm5F0to7YbGGsbfXKwNubbWHioT0v4uwwtga5xDi1zyLa2cB1eUauFiSTysEgZi9RUEMp2ANaS1736AW20vck79yq/i+oe2YMEheA4gvuSXkPykDU6XAIB5EcivSufpOOk94+9CuNiKodE49mS7dds7T2T3gkK3qirBboNbiwB0H9LzXMzXFryRyNwfIgq2cCx4vY1wOumcdxA2XKsg85NL7J5SzkP3IzN115+1a8dqCIKk7hsLttDqw89juU14ViRzA3vcbG/MpDxhVE09UP8Awy3wuRYm3gNfO/cj2BdlD4jN462t5W7vNIg69rW9qV4hT2N+fuSYHXlp4apkFwNZbvR6P4Lq/wC1tbkezCqRxGLK9zTuDZXZ0dC+F1f9t9UKqPi+K0pPzgHeR2t8ErTLmf4nnvDf+tqP21/Qn/ox8P8AXVzXn1YBnPjysfBdj0HE8LnuibLHnboWZxmv/V3VI+hlhrGwPlIF5HlpPOzeXs8FYnSH0P0lRUMrQ+WKVpa53VuaGuy23uNO64N91j1F68zaz1uni1BY7Ldweq09m3ktGI4yW8tPPYbJnoK7sixFvaTsB9Sh3SvgNfUsDaSdsA56G5v4jUeax5eezU4fQnkWINOnvuef2K3VTDa7b6/bRU/0bdDk0UoqK6rkme1uVrGEsZodC8g3ebcyLnmrjNa1gAbYW+n6wulG2MuDLOvDIVjdIXXBbc8tNdFB8anEUM0sjrNgYXG+hB5BrhzvbRXfFMDqQPt9SqL0osKY/C6gRgNOZsptzLSL38wm11ZfAmdzw0cTcR4y+eV0shu531bacvYrJrD/APj0f/Mn9LIqkVt1n/Z6L/mT+lkVtR+r+0v7nmvE+6f3sf6MqQrdSMubLSUrws9oJ7eFk6sezXWMsbKUdHDc00TQBq599TtZm4Gw8eai9c7tHzKlHRjJaog/tH6a/NGh5cuXtVJSxHIyv7Zq6QqYNldbkdj9XgmShd2X/wBUgKQ9Js2aY9/P3iw9yi0L9D5H6FFbbjyWb9R9jodh5BckekM1zMZklZoRHFY8/wCKAPwNl1vDsPILir0quNTBi88Zh6xjYoDmDsp7UQJGrS3l4Kt6bjwGmcVP1DHjePucdTqobU8ROzEdy0Tca082xMbvmyDKfyh2D70yVGjysvl/NG2zUyfTJnhOKE8z71W/EfGUrJpWD8GR43PJxspnw+d/aqn4ydepm/tHfSn1Vxb5Rns1E0uGPdNx7INx7j+tSro9q63EJ209LHdx1e4k5Y239d5008NzyVSsaToL3Ow7z3L6aejR0WMwzDomvaPlUwE1U7mJHgERXtcNibZlts2c/hKboRUcpEVaiWcybx/U1cC9HbKKENJL5SB1kh3cdzpsG32A7k5zzWunbirFgLqCCpknk6uK993O5NHf59wXnNR9rg9PpFJ17rBTiOJOc4Mi7T3cuQvzJ5AbqxeE8FbDGC83cRdx8U0YBgbIBc6u5k7n7dy34ni+m+gRXHy+X2Z9XOWo/wBOr7Pu/mecYYsMp+CqLHpy65topzT0xqZCxpOVvrEcr8vNbuJ+HWsZYDklTUm9/sa9N5VOKc8lKtdcm6Ht7k4YjR2cbd6b5H2TYs0SaQopMYezmfepnwzxkLi5N/t71WNdU30C1wErXC6UTn3aeFh0xQ8aDQ7guaCPEm1wdxbdSmDGGPtc6kEgHzte3wuFytQYy+PYk2INr9xUnwTjF0togC3IS4OB1BJzXB5aklbqtZHGGcfU+GyjzHoubjkZY3vaxrxl1DvVI2tz32VaYbGJI3SUpLBFZktM/tCN24a22oaRqHMOW3IG4TvNxBI6mqGSBpIZdr26BwzN0LNmvvzboe4bKFYFXmmDp2t6wS5RMAADG4khnaJtqNcpWnKmYUpQWR9ZieVpE0ZaRuSC5v5QH/usq/4qhDr5bO8ra+5W1gVN17BJYhjti4WuD83v89k6RYRS04Lg2PPuX2BPv5W8EeQm+Cy1bXZTWB8EPc3O9mRgBcXO00H9E6/QtmGUUEkbnxsHVh2Vr3es8t0c4cgy+gHPUqwenDEyzDniO5dLYDLqbPu4nyA5qiuAMWaG5JyRGwdmPNlF/wCkRqRblzTfKURcr5TQ4VuH5icg0B1cQbb+A1PhyTbNRNadTc9/6lu4s47Z6rdho0N0b4AACwv4KLU7KupNomFgP4ThbTvF9VEuiIEmGJMjGZzmtA3ubJJT1U1WbUzCGbda8FrB3loNi/2aeKlXBvQ+xpElTeZ/rdu5aDvpfRTeojjiGUHwDW8u4aLLP6GpYIHw/wAJsg19eR1s73DUn6gO4J3qor7kAeCcK+QgXIsOV91CMYrHPdZtz5X+nZI2c8jVPjgU4njLGA2sTt4phpIpah2l8t9zsB9fsT9w/wAEF5zzEhpsQ353me5TWnpmizIwLDSwFvoRJ46JSb7Kiw7ERT/5TcdBGczOfaf2GEc73e2wHJU5jU4c1rg5pLXHQON7FocdCLizm/FTvpmrSz5RoHB8sOcOB1GQObfu7TL38FW9BUwymxLonaWBOZju8a6j2nXZd1T9KRzMLfkxqfXNu64T5w5iBjcLXN9HA8x9tk3Y1hbmEOOrHANDxoLjcEcj4LXAdAdtbBJaHIs7h7FQ4jKbgGxBOoJIW3jyqDYZ73FyAfIjf4KuMIJL9CQc7bW+1vNTLpNDmySM5OiicO7Yhx8UlxZLS9iuaiUk6AEZtNjokskZzHUapY+IAE31Te52u42/UrR4LludHZP+S6u2/W6/kwhVNxSLuG+2/mTp37q2uj5hGFVd/wCcv7MsPv1VdYo2+e+waNr3tf531JWlfM/xPP8AhazdqP21/wCpdvQHVmOgbb1hK/Q6aaK3ajFOtgc0uDXAZh3ZgNjrsqf6C8Pz0d9g57iB3NFgLLPpBhqYwWQOPa205DdY7YqU3g9XpZuO1ssno+dK+XrHysYBpl1ubaaEm1jbzVozYqBo3Xv2tdckYDUYhB2szHtsSWEG508lL8I4/kLe0yRp3IIOp8wLJfkrODdbZzuLoxbis+qBr3CxOvgm/DK1zjmINifb/gq9wjGZZXZgw2PI7+5TbDpyBq0i/fz9yhYhwjLJ5Y+iZ99Pd4KJ9Mc5NBUNLTfqzodvO/JSyjnA3+3kmPpKq2uppQQbFjgedxlK6uil3kw3s4CVt1f/AGej/wCZP6WRVNLufM/SrZrB/wDj0f8AzJ/SyKmo7j+0v7nn/Eu6f3sf6SKkK3UbrG60lZxlPa4OrHs9qHXKfuCqnJLE4XvmeNAOYb3+F1HnlO3DbwHx5rZQ5x8dhz93xVZL04LQfqHXjNt3F3efBRZp39qfuJqkOtt4AclHwVWtcF7cZPspDsPIL54+nJij2Y3UMa4hroKfMNLH7036gAvodDsPILif0smUUuLzQ1GUS9VDlcTkNjE3LaT1Tr+CVaTwilcdzxnBz90R4IysrYIJezGZA+d41yQx9p58M1hH5uC6b406Co3x9ZSvFn6tAIuBbNqD81rozfvcqewDheSgLqill7Txl++NDmmM7scBo7MbdoWtbTvVhcJ9KAe9rJo3079R1kLi6Ikm5vGTdgOhtawsNSsF6c36Gbq47V6iN9ItDHSN618MlObhhY09ZDI4ttePMRJG4hpcWdpuh1bzo2bDn1VW5tMx0hleS0AG9ubnfNaOZOgVtekx0gmolip+sjlip2l2drSLzSAZg641McdhoSAZXDkrx9FXo1ZBhvy6Rg66u7bb7sph/FNb3Z9ZTbe7L7K8JSrhlrnBWFUbbFFvjOCvegDoIbHWU89YQ/qniXIPUzM7TAeZs8B3cbDxXYeO4zpZp1VV1lYGuu3SxWGJcTC17rnfGTszFnpbfB669sl0l19TDFZJaiZsDPXlcWj+i0AlzneAFz4mwVrcPcOMpo8jd93OO5PMk81DOheVr3zVLrXv1LPAaPkI8yWj+6U/cX8UtbmN9ht9u9WVcYR3Psxaqyy6zyocRXYj4qxjKSFDo699RIIotTftHk0d57/JQfi3iaSR+Vmr5HZWAd/f5DdXR0Z4CKeBubWR4DnE73I2Wd1bnyaZTVNfH+xLuEMHZTxBjd93E7ucdySol0m4uBpdO2KY8GA3Iv3XVEccY/1r3G+x+wCfOO6O1IwaWtwtds3yYYviA1Oih9bigPNY4o9xF+Sjppie1yUV0pGqy9tjy+o0vdbcNfmTPK42SjB6izleVfAV28kpioCfEKS8K0LYw51tXGzdPAanu7k2YDNmuOQF3HuH6zsB5p7p6wE+A28lmhW5Mtq7oxjtXbHaRxylvJw1+lbMHwuNwIk1vbTkbbXB0PtSSKa6UUzlrjNxOPKOR3x3EJQy0bmWGwy5bW5DKbAeQVaVkdXPI0SuaYs1jG3M0uzd7rm/fbQFTxsxW2iY0vYTcdtpJ9v0cltr1PBksoEvSPCZIxG2wyOygEkDK1uUi4BPsVG4zw3eTI1wve1mi4H94n6ldPFldd8l9AXutbl438VXkVOGvJ31P0p/nKQpVtG3hbo+jZZ0huSO4ct7FTmGvhhaMjczrW9iY8PfJIQ1isfg3gMXDpbO52Pf5WVXJMsov3GDDYKmo1v1cfeb2slNcIKVp16x/wA51vbYcv8ABSrjfEBEzq4wO61tlDcM4XMh6yfRg1t87/BIk8DkljJB6+Oaqdcfe4gSC86X5WaPZZSDAuFI4m53682i+55Odz9imIjjPbc0NhjNmAC2ct//AJB+KjOKVhmk7N7cglyLx56PDMXOsB4BPtDh4iZnd6x2B/xTjw5gLWDrHagC+qQzuM9QGMvlv2rbWG6ql7l3L2OJeM8e+UNrHE7SMEYJ1LIpbe02fm8tFH+GuFnvc1zwWMuDro5wvyHd4lTjA8CihDnO++SElzS4aNzZSTbYHTS5JTjRUhe9oOgztvY21JFv/pdnhLk5jT3EV4vr25eqYb2IvbZth3990xxHQk7DXyPgm3iJpZNI2+z3A/lEW89E3OlP60PkZuJHgeJCORlzftC435hWl07VDSKWRlgXUrWusb5iXOkvfkQ1zRZUfQyAPaTsHA+43Ul4yxcyRxtJ9TT2u2HsDVZY2tFcvcn7CaR9hY926QsfqPI215Xtf3Jpc8nclY3SsF/NL44Nd/BVXc7PHMbWh17gNVWOKVbSHC7fHtDXw0Kk3RBxWxkTqF1NLUuqZ7iNmU57tYA3KdTYsLu62+xXSWCdBMDoeuqaeipRYOcJMr+rB0HWOaQxuum51WOpTrlL0tpvs89VbfpLrWqZSUpZTjt6wvm/qUl0AcVNZHJFI4NDTmZmNmkfNBJ35lTjHuLqYm/Xwkt/ptue9oGZWhR+j1TOYHx/IXMOzmxlzT5OD7LafRtgOuSiN/8AwX+/1tfYkTUt2XBm6PjGqXHw0/8AmP5lMP45h5SNHjcEJtrekSDRoczfU3Gnjsr3+5xg+bR/mXfrWH3N9P8AMo/zLvpuqKUYvmLHPxvVSWPhbP8AmP5ld8K8Y0gbd9VT5jyB+1lImcfUh0FRCfHNv8FI2+jnByZSfmXH61sZ6PcI2FIP/Jd+tZnJN5UWH6Z1eMfCz/5j+ZF2cZwG/wB/itfa91G+kjiJssEjI56dt2Ft3PABuNbG+hVpf6A4u+l/Mu/Wtc3o/wAJHaFKR3dS79a36fVeWsbf5mS3xHVz/wC2n/4/mfP6piyuIu025tNwfIhWvW/9no/+ZP6WVdRD0bqb+bo/zLv/AJJPxp6N7p6T5LDPTwMEjXttHJlBFyQGh34RPeVE9R5kopLqSeeDNdPUaidS8icUpqTbxwkn9fqcFFetK6O4g9D7EmC8U1FN3ASPjcfISRht/DMqf486M66h/wBrp5Im3sJLB0ZPLttJbrtrZdFNHdw0RArfQ+sNba7rSUAqcEJiyvlukSzc5HVm17G3fY2UKKRMnuZ9koth5BfOP08v9/Tf2FP+iC+jkOw8guIfS+4QiqMWmc7M1/VQjM08hELAtOh9liqymo8smFbm8I5iwjiaeIZGSOyfzbjmZ7AfV/u2U04TqH1LJ5f4v5JEZpXWJZlB0aDye6ziGm98rrXTJjPRxUMuWZZWj5pyut3ljj9BKtfEuFvkuCuga8B5ghxLEi4gBr5j1dHRMABcZCHx3abgA1RJGjRSSUl6Ri3R+0UxRwtqKuKK+Vsk7I78rSSDO7vBJc53P2aL6IcR8SsihbC2wbGxrGtGzWsaGtA8mgBfNGjqCxzXt3Y4OHm03HxCueq6VHyRtLjdwaLgAb21HefNI1UJOOEbfDb665uU19S3eJOL2gk3VbYv0hgEjMSD47KusX4w6y41ue/S3tUTqsztdbFZqNGovLOjrPGHPiJ0x0a9KLohbN2XuOXX2HQ/a4U262Soh68kgOcQN9QP8brm7o+waSeSKKIE+rtrlF9z43v7bru7COBRFQRQm92MAJ57AG/n9adOmJir10vchvQdw6C/5RJq43YxpHqAWufN26sXiDGMgdpsDb2KD8JYiWVAYNjKBYeOh9ifunWdtPSyznVsUbnkc3OA+9tHi95az+8s8a8vAyWr5yynOOuOSC832uN+e2v6lVkfGILrXvc3v4qD43jLpCXOJuTf2nUqPvn8Vrjp0kZbNc2+DoeLGBK3KOXxXksXJUpw9xv1WjrnTQ7m1x9Sn2E8asfYA5ibADUkk6AADUm5tYJc6Wuh9WpUlySSZgtZaadl3BjNXu9UfST3NG5PclGKUTxIyny5qh2VpY3XLI7+T00u0esdh2uTSU64XhIic5oOaTaR420Juxht6g5n8K3kqOp+5aWoUVwOlDFkaI2nNrd77Wzu8uTe4cgnmkNkloqawTjSx/buS3HHQje5vLN0bil1JNbf2JE5qxMqo4lkx+iW0uTVhsl9fclokSZcPCLJZPapjSNUnPDbHWJGq019VbK3mSnqF9gO/wC361fc4kbVJkg4OwNrRcAe5Sx9QGDlt9V1HeGa7s2TdxXioaDve/f9gt0GtuTJNNPBoxCujzlz9fatGHVD6p+UXbCzV7hzA5DxKYcGoHVElhtfU+CmPE9Sylg6iM2J9bTUkjv38FP1IItxried3Vx2DGjKANtFJOA+GLAOeNTr7FEuCsN62YX2BufYroggDQXaWaNBf3JcVuYyT2rBDePKnIzq2ae2yw4Bw7q4nzH1nAgeQ5+9NHEDjLOGjW7re8/qUs4ml6qDIABYWt5BWl2R7HDdHIA0DvAJ9w38SllRXBkeY8i0j+64E/AfBRyOrytHi0fQEjxCqJYQeYN7+Oy39mOLGHj6jJme5rSQZZNh/TLgTbnlcBfwUeNK/m135J/UpRjnET2uIbYggOuRrcgXB9yTs4imcLG+trdgEW93xTEi2EMNLC7cA6a3tt5rfWA9WC6+r9PdrbwVg8K03XlrCLyl3rdXlDRtu0kka6ixukPTVgrqeRsZvYai7MhJcNTYgHLcaK2OCHhLBXd0uwHCnzyshiF3yODW3IA15knQAbkrVhlIXvawWFyBc8v8fDmrSocKZGGNYzI5nZmfY5rOcbPIIv2eZCzzs2ipSwjpHoM6LIsOjDtH1TxaSYjYHdkXzWeO7h5qP+mrVynDYmtJ6r5U3rgDuMjjGCOYz6+YHcq7w7pCqIi0tnld1Vvvb3HqyQCCzUbG17XuE0dLvS6a+jFK+ExyNlEjnB12ENzBrQDruTr4LbXqK51OPTMsFJ2ZZTtPicrW5GySNZe+USOa2+98oNrqx+hjp1rsNk7L3TwOt1lNM9zmEXveMkkxP/pN0OtwVCqHhKWSN0jDGQz8HOM57yBt7yE48P4YGsaZI2EuJ0kab6G17+fJc+2xRjlm1ySZ31wf02wVMMc7I3ZZBoM3quHrtIt6zXaXGhT/AEXSPA51i1w9x+Hf4LgfCuJZoGZInNjGbNkBytObcgEEeduafcF4uqJzYVHV3IZcnqwCdG5iG6C59Yj9a5tls+4rgaropfU774VxdtVC2aJsgY8kNztyk5XFpNu64Oqc3Rd4t56fFcQcG9ItbRZmtkfG0yFha5/WBzg45i1huBqb526EKU1XTPO93UzuLgDmt1h1u3utr5X0voi5xjFtJt/II3+rEuDrCoIaCSQGgXJOwHfcqseLumGGEubBFNVPZcO6pp6sHxktrbuYFz/xD001bXNZDI4Ur25XROa11y6+c5iCRf8ABAIsR3qb4LVudGDCzM65adW5gD22vYb2sO+9xfZYb73CCkl+JDvlKWyBnhvpAVsji5lLTtjGlj1pcTY2s4EAnnp9aiPFWN1lRP8AKZOslFw4U4MkbARYNa0C/Z3vbUp+o6CWBrpGU0bf4x92tZK97h2rOvci/KwAFhoq7m4+nq52sL3kOdlZHeNjW3IuCLZTqLZ+zlsl0WedznCFzjNL1Pn5HY3DlW8U8ZmLGuyNLw1xyNJaCGguN9AQLk6m6TVzY6hj4ZQySGZhY5jgHNc0ix7wN91yNj2LOaXMjdKACQW9YHNLmm2gGjgXbEaFKODuGKyqLeplkYWkD+MyGLS+tj7dB36rrV6lKXpWSfNeOUVlH0TTTYxPhdOAOqnkaXuuWxU7XXEjzubRuaABqTYc7rtXom9HbC6RrS6BlTMACZagCS7u9sbrxtHcA2/eSknQ/wAGSUrqmed0bqipeA+UA9Y9sN2tLnHQg2zadwurYwmbxse5d+NOa9xndjyLabAoGCzIIGgbBsUbR8GgIqaSJoLiyINALnEsYAGjUk9nYC5KcY5hlu4iwF3E6AAC5JJ0Atrdcy9M/SOK8zU0Mjo8NpnBlbUMDusrZSSG0FFbWR0psy7L+sO8LHOOR8JcHULVyN6SY/hSb+zh/RNXXEew8lyj6R9L/CMzzoMkQH9IiJt7eSTesxNOkeJ/7FVTVPL2H7earnpGoZTGAwt6t8xe5lrOdKxrgHF2xAa99hpYuedcynL2m/t0Tfx3FaKL+ufiEuv0l7nuKpw3hOWRt22zcmE2JGvM6A9wPw5ttXDJE4seC1w3B+HmPEK0eG3dofbko7x/ADUuvb1Wf+1NjPLwxG1JZRD/AJSDuAs4nEeqdO4pdJhbTt2T9uSbJ6RzSANS7QWvcnawHfrsFdJexXLR0j6JXHuGUz8lc50EpdpK9pdC7U5QXsuYyO94Df6Svvi70jaXrZIKeJ1TDGQw1DJWtje+13CHsu6xjb5c9wC4OAuBc/Pigo3vkEIac7n5C0g3aQbOuDqC2xuOVldeE4eI2NY3Zot7efxUbcIrnkubAukml+VslkbNHGNTdokP/wCsk6eXemn0tOkeKqgigo3OkZJLnnIZI3K2GxjYQ9rXXfI4Ptt968VXRA5pBjFS1jS7u1VFCKfBfzGVjWSW028D+opqqp1jxBXGSQuvz0Te1pP0+4XPwTsfMWD3XXRPog8F6TYtJGZBTH5PRR5STNWSDs5ABqWA77DMT+Dpzqu7+jTi6CCgp6KlLR1cIvKLdl8gvK5ttcz3E3fobGw5qcEZwNUmF/JOsBcJa+puKiRpu2mY7V0UbtjI6/3yQcuyNLk4YJhRG+vipPS4S3dpzX1JHMnmnehwr7WSZxGQkNdPhmgSmPDrKRRYWQtjqC3kEicDRGZEKylTe+A3tzU2OH32TXWUfa8lnlHA2MuRBSw7NGpOgA5k8gtuIOEd72Nt+4nwPMDa/gnSen6kAWvPI3RvOKM7l19nuH5LfFyhWMz3PVg37z3nmT4BK8vLyM38cBhcpe/N3aKUg8h7Uy0sQYBblv5p2oJr7qtzyi9XDFwmLdriw+jv703YiDJqSlLm3TbLNZyKbHjBF0Ocos/g/DmQwZ9MxF99VWXGVaZJSTsPoTjhtU46FzrchdZ19ADr8U2V6XAqFTfJLeiDCbRl1hd/PwCkvGkojjyju+3xWfR5MOqAFuyLeOijvSFXEuy9x+HctVWNvBmsb34GLgukLqgP5NObf4o6Uq45HC/I8/NPnBlNlaXn7XUD6SJi92Ru7jlA31On1qsuBkeWcgTsGUeQ9osN0hni7ysPlnZHgB9Ca6ut7Oi6CizG1hmmrqSNA/L7rnTfXkkz5BzlOnd/gm2ufc+0pOruWCdzJjwdxZ8lmE0b5s4BaHDJsdwM4Nr/ADrXHJIOPeIZamZ0kxJJObUlxF+9x1J+A2FlHmFb6sk6lG5tB3yZ4LVBkschFxHIx5A3Ia4OIHsC62kmosRayaJ2WSwu5hYHa3JbIx3rbWsuPVupalzTmY5zT3tJB94VOGsMXKOS9OJOCnQPOZznRulzg27NrC9zqWOubZdrKL0+AENeHx5gXZoy0GR5aSQGhw7JGhOXloozhvSPWx+rUSWHJ1nD4i/JTHA/SBrYxYspZB/ThF/eCFlnS/1SI189kdw3C5DN1cTepc8X+/F0bBy8SSTpY3A8E/BjWvMFX97eCLm92bD1DYaHQ3T6z0hg7+OwzD5CdzZ7SfDTknM9NeGSi1Rg9MdMptLIDbwJ2Hks9ldjeMcF3VF+5EuIuAnvyyQPEzQ2waHi4A+bci41+lM9bSSxRmIwy6taJza4zA3BY4a9pmhHKytmLpFwJ7s5w6eMkfyFW5g0FtGhwA0Hcn2n4vwB4LTBiI5aTteR/Vzu+KrGNq9LXBV1bX2VLguJse0RuaOtivkfe2ZmhLJMxF7cnDVaKtzesEgcO0LvaDYtNyAL7WBtZWTUYTwy45v4ZYTqbPjI+vRbX4bw0QP9YxVmmxZGc3viIVpwZeVLk8srzFI2hoLXAltg4EDU76G1iR3t581IOG+NXxMYwHV17tFnEgnQjW4LdvKykMbsDcySKXEawN7LaZwpDmhjadRfIWuc7Y9nyTU7gThzNmOMVoN73NNrpz/idLJb0dVq9SGqtQe6L5F2B8TTyTPZ10kAAaWABlwHghshZKDmaXDLcDYbpVQ9BV3GU1khffMB1TcocXZiTqBYn8EW5JNT8G8POIH+WqyRxs1o6nM822aB1RdYfNHuXRHAHRzGyIPE9fKzL2DUtEOZttLMcxspuObmtXJ8Q0WoqWNHhfNNf3OhRKiWfO5fsVBWdERztc6oL48wHVhgYbgADUEiwHPRWPwn8jw+CSQuYHBhcG5s0srmjRrRq7Xw01Uw4g4UqHxBtNJAHk69aw2Za/8AF2uLkZQesa/Y2sqVwboixOactqWx00DHZXSvkZNJK0HeCOJ1gHfOkc23zV0/DdPOqtO55l9DLqkpzxWsItjA+NaefK1kgz5Mzmu7GthmAzWuQ6+g1PK60cadIraRjj1NfIW2/iKWZ4BOwMuUMt32JTpwlwBh0Di2OBkjxvLLaV+YHkXCwN9bNFlYLKxtrB23L/6XVn4q4x24EfBc5ORuM+ncVjWUsk09DG4yfKjJA4XjDLtZZri98kjuwGWa3mb7JiwPhStqDAKN0Turg6wNge0sw/rQBZ73WjOIPacxPacwE6jS/Z1exti8tY4tGhLWuN72GpF+aaZA0bBrcxLnhrQwOceZsBc+O6xvXZ4aHQ0rbyTmMaDyXJ3pLSn/AClKL6COKw/8sFdZM2XIfpK/71m/s4f0TVrs6E1PDK2LNU29IDD1MRA2k7X5LvrsnrIL38FnitB1kLm89x5hJGFdcNn74kXGkH+sEnmxttPMJfgLe2En42maJm3LQTGLXIH4Tu9RHsh9DMY1enQf0HDEKKfP97klbmppOcUkesT+8Nc42dl1LTvcBVj0d4IKqdkYIIBBfY8u7nv3dy+hPRZgrYYGgC3ZA9lgmp8i5dHBnpBcVVlYI456XqqvCoXU+KStY3rHyOe0NqHOaA4wPZGxweOwHSOsQ2Rmak4K97fVe8eTnD6Cvpz05dFbqssraF7YMTpmlsUhAMdREQc1JVtIIkheCW9oHLmOhBIXEXSXwLHJI/qYXUGIMN6rCZTZryd5sLkcS2SJ2r/kxcXDtdWXtACcLGDo94xblkhqIp55JGkU0sUrmyRSW0zRuPVTR8yHAOFtyNE58TYBVPDsrMsZAsJJGmTxzZGBu+gAGyifRhhhkqchuLNOcag2DgMp5i7rXHO1trq9MSomsjsA0C3IAfCyvGCYuc2msHNOJYe+Nxa8EW52Nj5EhL+Fmg9c0i5dTvDPB4yuB9tsv95O/HT+0baKJQTFpu02KhpIsm/cwKd8A4kmgN43uHhuP8PYml7rm55pVhUGZwH23VSx2D6L+Oy1UU8szC0RObE3XQvLQ93ds0tP98K+cJpASqr9HyhMeGxgixfI948W3DQ4DxDefcrCFSQdDrzWXzPUaPL4JNVxjuWj5Hm02W3CKjNYEhSCSiDe1qe4AX+ATMJ9CstEZrqYNH1cydPt7Uw4zKKchzgHTv8A4mK1+rB2keCLZ+bW8tzyCk/EGJCEjQPqHeowa9UPnO5ZvPQfTWeOVmQvc4553k5nEkhoP4DefmfdoluGC8ZZG7iHEiwOGa8r/wCMfcnf8FpOp8Xc0l4Zwsm7z5ooMKMhzOvbxUuijAZl0Giz2J9I1QeCHY1N2soS/CnaBIcSphnNkoozbRZ5R4wNhLkklBBmTXj9LlIJUq4QZcckzcYR3N/BFcMItZPPA1UMmmhTjDNfnso3DKW6J2pKgclWcMkQlgkOCYqY3XvpzGqyxSp6x9+/bVMcZJHxSfryHX9qKbXHgm6rdyWnVjq6cW7JcNVXOEUnW1N9+rBPtOg+kpXNxi5zBG/usPBKODK1sQc78N5v5DkFrclIyxTimfPtz/P/AB5pDiL9h5K0OHOjNz+09w3IJ1DQL7u5ne+VP83R+GnIw3IJF2wnW2lwDc2PL36Lt7OMswOS6KGFI92zXkX+af1JbBwxUO2ikPs/xV9YdwI3tZneWd7WEey6mfCvA0YblNTTMYXN6wZpHkC4sS5sJGmumYDUbrHbdCL5Y2MG0cnnh2cHWKT3XWVXg0wGsUg/un6l17/ozid6lZQOA0uQGmx2vmjAGi1P6HXOsWTYc4X2EsQv55XhKjrIjFU8HGj6dw3a4eYK15V1ziXQPUk3bHRm2lm1EfvsZb3KQ1PQLXDanJvfVksbh/7zf2oWoiyvlnKaF0lV9C+It9aimOvJmc/C60VHRfUiO76KoccxBb8llBAG5d95III0GU7q/mxK7DnRCu2XgRwJzUko789PICPZ1YH6lp/zQiBGeHL/AFmlvssQFZyQbCnKeIuIaN3EADvJ0A9p0U8q+iHFYxc0VVp8xufX/wAtzlZPR9wnRGdudmW1nNIaJMrmm47JfvfwXTmGYmD/AN7I1/Cpmu38gPiqTtSGRpz2co8Lejnik9L8oDmRPLiG007nxTFg/COZuVuY3s11rjW6iHFPQ/i9Ofv1HVED8KJpnbbmc0JeLea+gsMlxpWQmw0zU+X/APtbIpZLdmrpj4iJ45eDiq+aS60vdnzVwHgqrnkEUcMxeSOyWPB7r2IvYd9lbmCdAtPBZ+K1ga4amkpQJp7dz3X6uIH+kbrtGWjlcDeWhfmABzMcCRvYm9/YdFCOLeiWnmBEkFFZ+/VTzwkk6fgPb8NPBOVsOsciZVvPfBzziHSpQ4cCzC6aGB+3W9moq3abmd4LId/VYLrqfoz4rbVUMFQwutLC1xzOL35v5QPeSSSHhwP1Lm/jD0Ue1mppC0fzeeKc337JL43bcjfzVj9AfCVXh1O6mkHXM6wvYHFsTow8DMyxc7Qntaba662SNRJTXA3TJQfJeNCbPFr5Rv45vBZ4rh97BrnWdoRflqfP3qL0eLSDQ053361mw5G9j5WTjR41LfWCX+iQWH32I8lmrck8S6Nb9XQ/0lCGNs0AEbd5/rLL5T3ix5+xNMvER5w1A/utIPuctB4pZqHRzA7i8f6iVF1afKJi+eReGgHS9iCSOW+htf4LVXwZoyBa5JsfJMp4hjBLrSt7I3jd36r1mPxg36wAX1zMeADuTci1jdc6WY9mnJaEewXI3pJN/hSb+zh/RNXXLNlyZ6R7f4Tm/qRfomrv2fZOPX9oruKJLpW2aktO3VOD2FwLe8WHny+KzZwzSVXE20rwNg51vK5Ub6R6J0s8LGC7nxgADvzEn2AaqR4XG7rnAjtZi0t8dre9XJ0f9GxdLHNI3tZCBf8ABaTt3a/WrwfORUmsYHT0bujpsDBmALj2nu7yf1bBdX8PjsAd2iguG4YImho0sNVJ8DxdoFjorJ+rLKY44HmsrQ02KgvS3wJSYlTmOqiDnMF4pW2bNEd7xSAXG2rTdp0uCnbiWsB1aUxT4pZp15aqjm8kqPBzLBwU+kqXxSTMqCGtMc3VBkxidcBlQ8EmRzcosSXGx3GjQ3cbT2aVMqio6yaebfNIQ3+ozsN/9Lb+1Vj0g1nrW+xW+HETFP1TwioeMJbuKjKdeIJLu9qalRj8ApBwfRuMjHNBdeRjMoGpzuDBbxu4JgaF036JnDg++VLgDkaI4yRez32JIv8AhBg35Z0uyW2ORlcdzOgsGp+rijiaNImNYP7jQL+0i/tSpktzyREdNLLARa3N1hTyzU1jgd8M0N/d3KSUeOkNLR67vwjs0W3A5n/BR+mm0028eX2skYmu4Aa3cB8Vork0Z7MM3YoDmLIgS5/rPOr3319g8PbvqkDeET603mQeaWw4+xlSSSBZrDc2trdTHHoOuZnZsRcnx5LQ4piVLDK6qrDstFgEhIOvwTriFGQUkli0t9is0o4NCkRiuFlopTrZLsVjJK04ZS8zv9tEicR8ZE84WdZuqR8WEW8ltwCa2ncEg4n2N1EY8BJ8kFrZrElYYXX627ykOKSm59y14Izte1Q0sBnknokuBbuSKuOhW6jk5LCr1BCxdSNucxGNj76p+wqpFlHKZ9nEFONI61inyRmTwyDnFmRtYIwDZjcz7XaHZRdrGn1397yLDlqmPjbiV0jmdoBuQXbGAxoILh2wPXfYAlzr7phq6wkA6aNAGujdN7d5TX1Zdtd36jz813LrXNcnCUcSbFwxAB2t/hr5XUv4U42kjimgDWmOoyh9wSRkcHNLe43FvafC0Mbgx3N+7x/wSulnDbAa2O+/suuTbBexvhbxyPc2MOzu+bpY2Go8EkxPi4RZg0jzCbTMb7F199dhzskVfRxvN+rFgOe9r28LnyussK0nyV81k/h4rLnBz2t1HaPebXBF+YS6TiJhAJaOV7W1AOlvJVxTEAENaAO4jfySiGqvdtmCw0v+u/xTZVr2Gxu4LSp+KmB2bVpI0s9w38jbVOmB8fuYb9ZMQBoOukAudO0M3LkqWZWAkXABBtuR42tex81uo3sBJzOB7jcg3N+Xn8FGwt5p0hg3Sk4ntSS6O5uvvsBmvoprh/SGxw9Yudpo4DwvYhp7yuWsInAOjs3O25B/qnWxHxVp8BVPUxOrCwPJlEETbhrTc3keSSANLtBvc2IAVot5xlloTT9i1p+KW2uWtOl9Ymki+zbBnxO6UYfxJSuGVwga/YF0TWtJtte2hubLDCcUZLGJIyHNOl7OAuNHAZgC4A3F7KK8b14NTTxG+SBrq6oyjUtZmZCwkEaPfnPaNiWDkm7JL3Y1bGuiw2SwFpINEfABmhPI5Xm5vfayTyUrNLR0pB10ztsLaaA6nx8RoovFxDG50IawkzC9rMGRty0Pfra3ZNrapdjNdExj3uyEMje+2huI2ucbaW5E+dkYl7EKC9yTMwqM6GKKx1H3yQG9r6jL3+JTdX4bSsBc+G1gS455LAjkCbC55bXVZ4JnPVNlJPZHWFwZbZjTqdQ0vc92a/4ICk2I0bHdYdMrQMrbAsJI3JtyLgdDuFbM0R5a98mOJy0Wo6qpvv2XkWvbW5PO/imYV1Dr2a1thr24tPIHcp2rMPhDXPs1wzttm0yj8INB1toSSdk2uwOF4MgYwDRuX1sxcGC4Idyvy8VDsf0J8uH1G5stAe11te0359UfdrpZKYaikG1ZXEWubRtNh7L/AEL1vDEWVxyt+9i/9bMDlHZd2Ra2gJ2Sit4XgaHkMsWQ5x236m0m/a1uRsodmSVXH6ieCupSQ1tdWN1NwYfVA5uvy8tfBeVWJRNbduJStG/bppT7eyHEDzC0YbgofFC4sJMsTX2E0gzF0TZCbG+RozHs3OwCzquE43gXa83JY0dc4ElofvuG+p7fBU3SLbBPHxjHcfwlEbbXp5h7daf2rLFeKrkgVdLIdb+qw35Z2yMYL92qb+I+GIIfvgikkLZGtsHnYszA2ILXatI2TTHwhDXPmLm1EL3uc+92Zc0l3aMLPVF7WBAFkbFKRL4OrY9guTfSMd/Ckw/oRfomrrGMaDyXJHpID+FZf7OH9E1dGz7Jgq+0QyFmq2l/6klhNlsc7ZZsGhj5wNwS11SahwvnsWjTRwFifM6HzXROAOZG0XsDaw0VEcIYp1RBPq6n4bBbsS6Qu2QTbXRPg0uzJYm2W/j+PAE/DyTB/l0HYqIUnEMczdXdq3etTKY/glLsaG0xaJs3GXW8k08RY5kikcDrlOX+s7st/wDUQmU1Dm73ITTjNRnLGDm7MR4N+q5CywTc0jRPCg2IxF1cIHh9SqPjA5i72q2eMJMrbKrOIGixPeupe9qwc7TQ3PLKZ4gjs8psUlx6mzE96jkjLaFVg8oZNYZvw2HM8DxXbnQ3hHUUcLNnPb1rh4yG4v45MoXJ/RHgXX1MUfzpGg+Db9o+xtyu4KS19NLCwHgBYfDRZ9S88D6FhZFMM3gs2THdYNBKU08JBvpZZ4xwObyODZLDRN7Ze20+bvaGkj4rfMDb9SSYdH2xm7nD3tIWypcGOb5IT8sM0crzckMa32gOJ9uytPoB4q6+ExPIzMFiO8X0KqGjcY6Uk8y7fQ6aX9ttk19FuNuimDgba6+OqY3gpjJ0jxZhGt+R2URlp/oU5wfExPHqdQPpTRi1CASplHKBSwVriDNSPZ7Vpp4jdPWNUtnbJHHp5nTyCzOJojLgfcFaGi/NNXEJLr222ut9EwnyW3HwAwgKu0lPkq/FGa2WzBWWPkva9naJSmidos8x8R+ppRbTnul8sfZuBfTRR6J2uik2Ht7PsWdQ5NO9YINinZcPinGkdeybuKR2ifFKMIbdqc1wZ/cpCgdmaPVA8O63j9KkWHNbl8QBrrt4qkhx3N82Kw0tldy/vrdH0iTi9hFrvo/9ouhKDZy9hbOLTa3uLa3BB005WDr/AATTNWAmwAAFu/kN9DfXuVb/AOfcuvYhF97Nfr/+xEvHcp3ZD7pBfztIL7qsqclkiyY6rta22GgOu19ja1+7VePrmna7jc7a2AGlxYX1PK6rB3F79+qgvpraW+gsNet8F5/ne+9+riv4dcPolS/h2GCz6WYHQnXQ25W5gEagi6W09ENL3Oh31+Fwqoh43lb6rIR7H+/WQ6rM9IFT3s/ICq9PP6EotPFaMNHPX/779NNN+aajO4ctBbXw271BHdIVQRY9UQe9n6nBJXcZy/Nj9z/L56uqZY5DBauCQukkjjjzZ5XtYy3aALiBfYG2tzYrobieJ0fVUsLBIKRrIiL6umlDc0l72YWjrHggg3d4rjnhrpRqaeZs8IgEjAQwmMuAzDKSGucRe3O1wn2m6fsQa8SAwZs2cnqj2nWtdwz2dpprdEaGnkbXJR7O/MLohGxkbfwW5TfUl3eTfW5v7wqmlruufLKC29bVdTTk2c75NSkxRlo2ySPzyZu511zhP6TuKuBaX09nNLTaBoNnCxsQbg+ITbh/pAYhHG2KMUrWsAa21MwkAcszrmys65Me74ex2RhM7ZKqd4DslNEImPLw2Mv9UWGUAHNnNy4D3pPxWAxmVxFnvipzaxdbOaidxIJdpBHJ2Xdy5BHpDYlcEPpxa+jaaENN7auaG2cRbQnbkts3pFYi4AO+SOsS4XpmE5i3KXX+cW6XUOmQK+J2BxLiTC180TiH5Gx3LSMhcBkAGx7U+aw2IC8dizh1jLSdhucvOUNdbN2bb5vvQO49YLj2X0hcQIAIpLBwcB8nbbM0gg77ggH2LOH0i8RaS4fJgXG7vvANzYjUFxGxKp5E+i3xEDrbH32hdcu7MTW3IGpLDfK69y4l4Gui1VMxaXMsLRwA3IGe4JA02AIjdsN1yRivpCYlKMr3wEHl1EYGlrcvAJM/p3xEl7i+EmRuVx6mO5aM2mg27RVfhpkfEROysBntCyMXA6ppPq2ADIzY9nW5efV5JPile5wj2AkLmv8AwgWtbNoLl1iSPArkaH0g8SFrOp9GhoPyeO4AAAA/JCTVHTviJy9uEZCS0CCMC5Dmk2ta9nu96Phpk/EROx8DqpOojyn1aeER35E0rSfC2id6Ov7TYyNWvzF19Ll8jS06f0r+1cTU/T7iDWZAYLBjY/4oeqxnVj8LfLzSyj9IvEGuzOFLILWLXxODTrfXq5WO37nBT8NIn4mJ2Hx0B1UhuLBsT7kXHrvbpbz+KjPR1VN68ZbEkcgWkeFjuudqn0oK1zcnybDQ3IGW6urPZBuB2q08+e6Z6T0gaxjg+OKjY4bFsc2l/B05HvUrTyXyKO+J9Omrlbp7oi7FpjbTq4f0TVVTfTVxX8Xwz8zVfvqhnEfpG1s87p3w0Ie8NByxzhoDGhosDUk7DvWqcW1gzQlh5LMxWHLp3LRENlTNb0wVLzcspx5Ml+uYrU3pYqfmU/5Mn7VKdUh3mpl61Mtm2HcmPiKh0ZJrYnK7wvz8r6e1VO7paqfmU/5Mv7ZbZumGpLchjpbEW9SX9squqQKyJZQoZGdqN1wnPDeL3sNng6KmqPpXqGjKGU5HK7ZDbw/jRotdZ0oTv3ipvyJP2yq6pvhl/NgdNYVxcx4+lKMLZnlc4ahoyj6T5am3sXJn+fU17gRt8g/63lSnB+nGriZkbHSEWtdzJifeJwmUUbJbmJvt3xwi6uN57m3cq14mm0UOxHpaqZDdzKfXubJ+1KZa/jeV+7Yh5B/1vKZbFyZSlqEcMWVZ1Ucxc6rOTGnHkz3H/wCSRGoN76fb2qYRwRJ5OifRS4f7ck5H8WzK0/0pLg+0NB/KXRLabzXGfA3TTU0cXUwxUhbmzEvZMXE2A1LZ2iwA7u9SP7pqv/maH83UfvSRKqTlkerIqODrhkNksES49+6er/5mh/N1H70sm+lBiH8zQfm6j96UqllXajr50Wl0hwvWZgHN4/xXJMvpM15/kqIeUc/7yvKL0lq9jw8RUJLdrxz2+FSE+KxwIfJ0ZxbhJAlh3DJJA3+qXFzP/SQq14fJbIBzzWVb4h6R9c9xc6Kiu4AG0c/JoaN6k8gEwM6Y6kSdYI6W981sktr+XXX+Kmaz0EeOzv8AwGcRU+c7kgD2AG3t1Ujw5weGi13dWHuHdm2XA2K+k7XyMawxULQ2/qx1AJv33qT3crJ2wz0u8SjzlsGHHPlBvFU6BoygC1WNOet9SVOWRg634kpCHE8++2iib26m/LcrnGu9LbEX+tBh3siqf3tM9R6Stc7eGh9kc/7yoaySjrGGo7l5WnN2e9clQ+kdXD+Sovzc/wC8rJ3pI1381Rfm5/3lU2Ftx0XjlGL6e1MbpLbKhqn0g61wsYqPXujm/eE3nptqv5ul/Im/bpEqGzRG5JHTWFN596muF+pbwXHEXTxWDaOk/Im/bpzpfSTrmiwiovbHP+8qi08izvjg6B4vgsfasOG5BZc64j6QNZJ60VH7I5v3gpLR9OdW3aOl9rJv26JUT9gjfFMqxCELcYwQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIAEIQgAQhCABCEIA//2Q==\n"
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fqPo14puE-2H"
      },
      "source": [
        "!rm -rf *.wav\n",
        "!youtube-dl --extract-audio --audio-format wav --output \"extract.%(ext)s\" {urltext}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QBc9NYgXFFbf"
      },
      "source": [
        "##!apt install ffmpeg ##if you do not have\n",
        "\n",
        "!ffmpeg -i extract.wav -vn -acodec pcm_s16le -ac 1 -ar 16000 -f wav test.wav"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LsuWtbaHO-uR"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "S8eFShDmFK3g"
      },
      "source": [
        "!deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio test.wav > test.txt\n",
        "\n",
        "from google.colab import files\n",
        "files.download('test.txt')\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e4_6io1Cz4dm"
      },
      "source": [
        "with open('test.txt') as f:\n",
        "  line = f.readline()\n",
        "  print(line)"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}

https://qiita.com/dauuricus/items/a11ea0f5147da003f62e