Testing_functionalities.ipynb

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  "metadata": {
    "colab": {
      "name": "OCR + Translate + gTTs + Streamlit.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "tWVP-chMy2dD",
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      "authorship_tag": "ABX9TyO2mLVGnO5hYxv8QYDYxy89",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Sharan-Babu/Hack-for-Africa-Microsoft-Hack/blob/master/Testing_functionalities.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tWVP-chMy2dD",
        "colab_type": "text"
      },
      "source": [
        "## Installs"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WmpSURKtA2M1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2fef5a79-8073-4228-bac3-0458d11ede26"
      },
      "source": [
        "# Install necessary libraries\n",
        "!pip install easyocr googletrans gTTS"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting easyocr\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/5c/7b/111aadf88948defb353ee50242eedbf77aa3d86a0bdb4595471978179fca/easyocr-1.1.7-py3-none-any.whl (48.4MB)\n",
            "\u001b[K     |████████████████████████████████| 48.4MB 63kB/s \n",
            "\u001b[?25hCollecting googletrans\n",
            "  Downloading https://files.pythonhosted.org/packages/71/3a/3b19effdd4c03958b90f40fe01c93de6d5280e03843cc5adf6956bfc9512/googletrans-3.0.0.tar.gz\n",
            "Collecting gTTS\n",
            "  Downloading https://files.pythonhosted.org/packages/a1/0c/4ca77eca3b739a4a08360930643f58d714e302fee0d2f8c654e67d9af8e7/gTTS-2.1.1-py3-none-any.whl\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from easyocr) (1.18.5)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.6/dist-packages (from easyocr) (7.0.0)\n",
            "Collecting python-bidi\n",
            "  Downloading https://files.pythonhosted.org/packages/33/b0/f942d146a2f457233baaafd6bdf624eba8e0f665045b4abd69d1b62d097d/python_bidi-0.4.2-py2.py3-none-any.whl\n",
            "Requirement already satisfied: torch in /usr/local/lib/python3.6/dist-packages (from easyocr) (1.6.0+cu101)\n",
            "Requirement already satisfied: torchvision>=0.5 in /usr/local/lib/python3.6/dist-packages (from easyocr) (0.7.0+cu101)\n",
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            "Requirement already satisfied: scikit-image in /usr/local/lib/python3.6/dist-packages (from easyocr) (0.16.2)\n",
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.6/dist-packages (from easyocr) (4.1.2.30)\n",
            "Collecting httpx==0.13.3\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/54/b4/698b284c6aed4d7c2b4fe3ba5df1fcf6093612423797e76fbb24890dd22f/httpx-0.13.3-py3-none-any.whl (55kB)\n",
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            "\u001b[?25hRequirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from gTTS) (7.1.2)\n",
            "Collecting gtts-token>=1.1.3\n",
            "  Downloading https://files.pythonhosted.org/packages/e7/25/ca6e9cd3275bfc3097fe6b06cc31db6d3dfaf32e032e0f73fead9c9a03ce/gTTS-token-1.1.3.tar.gz\n",
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            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from gTTS) (2.23.0)\n",
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            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch->easyocr) (0.16.0)\n",
            "Requirement already satisfied: PyWavelets>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->easyocr) (1.1.1)\n",
            "Requirement already satisfied: matplotlib!=3.0.0,>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->easyocr) (3.2.2)\n",
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            "Requirement already satisfied: networkx>=2.0 in /usr/local/lib/python3.6/dist-packages (from scikit-image->easyocr) (2.4)\n",
            "Collecting hstspreload\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/db/a0/3378cffb2b4db42102063974bdc008d86883c4db5bb2b557d1b909c445df/hstspreload-2020.8.12-py3-none-any.whl (934kB)\n",
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            "\u001b[?25hCollecting sniffio\n",
            "  Downloading https://files.pythonhosted.org/packages/b3/82/4bd4b7d9c0d1dc0fbfbc2a1e00138e7f3ab85bc239358fe9b78aa2ab586d/sniffio-1.1.0-py3-none-any.whl\n",
            "Requirement already satisfied: chardet==3.* in /usr/local/lib/python3.6/dist-packages (from httpx==0.13.3->googletrans) (3.0.4)\n",
            "Collecting rfc3986<2,>=1.3\n",
            "  Downloading https://files.pythonhosted.org/packages/78/be/7b8b99fd74ff5684225f50dd0e865393d2265656ef3b4ba9eaaaffe622b8/rfc3986-1.4.0-py2.py3-none-any.whl\n",
            "Collecting httpcore==0.9.*\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/dd/d5/e4ff9318693ac6101a2095e580908b591838c6f33df8d3ee8dd953ba96a8/httpcore-0.9.1-py3-none-any.whl (42kB)\n",
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            "\u001b[?25hRequirement already satisfied: idna==2.* in /usr/local/lib/python3.6/dist-packages (from httpx==0.13.3->googletrans) (2.10)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.6/dist-packages (from httpx==0.13.3->googletrans) (2020.6.20)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->gTTS) (1.24.3)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->easyocr) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->easyocr) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->easyocr) (2.4.7)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib!=3.0.0,>=2.0.0->scikit-image->easyocr) (2.8.1)\n",
            "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.6/dist-packages (from networkx>=2.0->scikit-image->easyocr) (4.4.2)\n",
            "Collecting contextvars>=2.1; python_version < \"3.7\"\n",
            "  Downloading https://files.pythonhosted.org/packages/83/96/55b82d9f13763be9d672622e1b8106c85acb83edd7cc2fa5bc67cd9877e9/contextvars-2.4.tar.gz\n",
            "Collecting h2==3.*\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/25/de/da019bcc539eeab02f6d45836f23858ac467f584bfec7a526ef200242afe/h2-3.2.0-py2.py3-none-any.whl (65kB)\n",
            "\u001b[K     |████████████████████████████████| 71kB 7.5MB/s \n",
            "\u001b[?25hCollecting h11<0.10,>=0.8\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/5a/fd/3dad730b0f95e78aeeb742f96fa7bbecbdd56a58e405d3da440d5bfb90c6/h11-0.9.0-py2.py3-none-any.whl (53kB)\n",
            "\u001b[K     |████████████████████████████████| 61kB 7.5MB/s \n",
            "\u001b[?25hCollecting immutables>=0.9\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/99/e0/ea6fd4697120327d26773b5a84853f897a68e33d3f9376b00a8ff96e4f63/immutables-0.14-cp36-cp36m-manylinux1_x86_64.whl (98kB)\n",
            "\u001b[K     |████████████████████████████████| 102kB 10.7MB/s \n",
            "\u001b[?25hCollecting hyperframe<6,>=5.2.0\n",
            "  Downloading https://files.pythonhosted.org/packages/19/0c/bf88182bcb5dce3094e2f3e4fe20db28a9928cb7bd5b08024030e4b140db/hyperframe-5.2.0-py2.py3-none-any.whl\n",
            "Collecting hpack<4,>=3.0\n",
            "  Downloading https://files.pythonhosted.org/packages/8a/cc/e53517f4a1e13f74776ca93271caef378dadec14d71c61c949d759d3db69/hpack-3.0.0-py2.py3-none-any.whl\n",
            "Building wheels for collected packages: googletrans, gtts-token, contextvars\n",
            "  Building wheel for googletrans (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for googletrans: filename=googletrans-3.0.0-cp36-none-any.whl size=15736 sha256=07c7d81026e2d96a8b84fb7c5c4e51aafec735b04b1f943cd9bef3ed59d6ed51\n",
            "  Stored in directory: /root/.cache/pip/wheels/28/1a/a7/eaf4d7a3417a0c65796c547cff4deb6d79c7d14c2abd29273e\n",
            "  Building wheel for gtts-token (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for gtts-token: filename=gTTS_token-1.1.3-cp36-none-any.whl size=4097 sha256=dea307bc4d0f5b3e1f68012cd896ac4f658dc55fdde437bbefac2fbb8c490fb0\n",
            "  Stored in directory: /root/.cache/pip/wheels/dd/11/61/33f7e51bf545e910552b2255eead2a7cd8ef54064b46dceb34\n",
            "  Building wheel for contextvars (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for contextvars: filename=contextvars-2.4-cp36-none-any.whl size=7666 sha256=29301bed48fa36b0adf4b034a4eb3c49cd8b112cab5040b2067f2241f7e26c57\n",
            "  Stored in directory: /root/.cache/pip/wheels/a5/7d/68/1ebae2668bda2228686e3c1cf16f2c2384cea6e9334ad5f6de\n",
            "Successfully built googletrans gtts-token contextvars\n",
            "Installing collected packages: python-bidi, easyocr, hstspreload, immutables, contextvars, sniffio, rfc3986, hyperframe, hpack, h2, h11, httpcore, httpx, googletrans, gtts-token, gTTS\n",
            "Successfully installed contextvars-2.4 easyocr-1.1.7 gTTS-2.1.1 googletrans-3.0.0 gtts-token-1.1.3 h11-0.9.0 h2-3.2.0 hpack-3.0.0 hstspreload-2020.8.12 httpcore-0.9.1 httpx-0.13.3 hyperframe-5.2.0 immutables-0.14 python-bidi-0.4.2 rfc3986-1.4.0 sniffio-1.1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VVzErgaQBA2E",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "7a8acd88-b08b-448f-a57b-49af63fc1ca7"
      },
      "source": [
        "# Downloading image from internet\n",
        "!wget https://i.stack.imgur.com/mk1jX.jpg"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-08-15 16:42:16--  https://i.stack.imgur.com/mk1jX.jpg\n",
            "Resolving i.stack.imgur.com (i.stack.imgur.com)... 104.16.27.34, 104.16.31.34, 104.16.3.35, ...\n",
            "Connecting to i.stack.imgur.com (i.stack.imgur.com)|104.16.27.34|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 45178 (44K) [image/jpeg]\n",
            "Saving to: ‘mk1jX.jpg’\n",
            "\n",
            "\rmk1jX.jpg             0%[                    ]       0  --.-KB/s               \rmk1jX.jpg           100%[===================>]  44.12K  --.-KB/s    in 0.001s  \n",
            "\n",
            "2020-08-15 16:42:16 (72.6 MB/s) - ‘mk1jX.jpg’ saved [45178/45178]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W7nvWsJ3BxjQ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "55050468-1543-4931-9ece-2150cd53f4f2"
      },
      "source": [
        "!wget https://upload.wikimedia.org/wikipedia/commons/f/f2/Afrikaanse_Patriot.jpg"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-08-15 16:42:26--  https://upload.wikimedia.org/wikipedia/commons/f/f2/Afrikaanse_Patriot.jpg\n",
            "Resolving upload.wikimedia.org (upload.wikimedia.org)... 208.80.153.240, 2620:0:860:ed1a::2:b\n",
            "Connecting to upload.wikimedia.org (upload.wikimedia.org)|208.80.153.240|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 51924 (51K) [image/jpeg]\n",
            "Saving to: ‘Afrikaanse_Patriot.jpg’\n",
            "\n",
            "\rAfrikaanse_Patriot.   0%[                    ]       0  --.-KB/s               \rAfrikaanse_Patriot. 100%[===================>]  50.71K  --.-KB/s    in 0.03s   \n",
            "\n",
            "2020-08-15 16:42:26 (1.49 MB/s) - ‘Afrikaanse_Patriot.jpg’ saved [51924/51924]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J3ARU249CO11",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1ea629e1-d7df-4eb1-f229-7b53b790c9f8"
      },
      "source": [
        "!wget https://image.shutterstock.com/z/stock-photo-learning-language-english-blackboard-education-concept-saying-do-you-speak-english-written-on-96403217.jpg"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2020-08-15 16:42:30--  https://image.shutterstock.com/z/stock-photo-learning-language-english-blackboard-education-concept-saying-do-you-speak-english-written-on-96403217.jpg\n",
            "Resolving image.shutterstock.com (image.shutterstock.com)... 23.35.74.54\n",
            "Connecting to image.shutterstock.com (image.shutterstock.com)|23.35.74.54|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 638894 (624K) [image/jpeg]\n",
            "Saving to: ‘stock-photo-learning-language-english-blackboard-education-concept-saying-do-you-speak-english-written-on-96403217.jpg’\n",
            "\n",
            "\r          stock-pho   0%[                    ]       0  --.-KB/s               \rstock-photo-learnin 100%[===================>] 623.92K  3.89MB/s    in 0.2s    \n",
            "\n",
            "2020-08-15 16:42:31 (3.89 MB/s) - ‘stock-photo-learning-language-english-blackboard-education-concept-saying-do-you-speak-english-written-on-96403217.jpg’ saved [638894/638894]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5IPWyDBTzKJW",
        "colab_type": "text"
      },
      "source": [
        "## More Installs"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EnO63h3hmiMc",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "efe3b63c-bc3d-4441-ee69-972efbbc6236"
      },
      "source": [
        "\n",
        "!sudo apt-get install python-espeak\n",
        "!sudo apt-get update && sudo apt-get install espeak\n",
        "!pip install pyttsx3"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  espeak-data libespeak1 libportaudio2 libsonic0\n",
            "The following NEW packages will be installed:\n",
            "  espeak-data libespeak1 libportaudio2 libsonic0 python-espeak\n",
            "0 upgraded, 5 newly installed, 0 to remove and 35 not upgraded.\n",
            "Need to get 1,166 kB of archives.\n",
            "After this operation, 2,859 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak-data amd64 1.48.04+dfsg-5 [934 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libportaudio2 amd64 19.6.0-1 [64.6 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsonic0 amd64 0.2.0-6 [13.4 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libespeak1 amd64 1.48.04+dfsg-5 [145 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 python-espeak amd64 0.5-1build5 [8,932 B]\n",
            "Fetched 1,166 kB in 1s (1,274 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 5.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package espeak-data:amd64.\n",
            "(Reading database ... 144487 files and directories currently installed.)\n",
            "Preparing to unpack .../espeak-data_1.48.04+dfsg-5_amd64.deb ...\n",
            "Unpacking espeak-data:amd64 (1.48.04+dfsg-5) ...\n",
            "Selecting previously unselected package libportaudio2:amd64.\n",
            "Preparing to unpack .../libportaudio2_19.6.0-1_amd64.deb ...\n",
            "Unpacking libportaudio2:amd64 (19.6.0-1) ...\n",
            "Selecting previously unselected package libsonic0:amd64.\n",
            "Preparing to unpack .../libsonic0_0.2.0-6_amd64.deb ...\n",
            "Unpacking libsonic0:amd64 (0.2.0-6) ...\n",
            "Selecting previously unselected package libespeak1:amd64.\n",
            "Preparing to unpack .../libespeak1_1.48.04+dfsg-5_amd64.deb ...\n",
            "Unpacking libespeak1:amd64 (1.48.04+dfsg-5) ...\n",
            "Selecting previously unselected package python-espeak.\n",
            "Preparing to unpack .../python-espeak_0.5-1build5_amd64.deb ...\n",
            "Unpacking python-espeak (0.5-1build5) ...\n",
            "Setting up libportaudio2:amd64 (19.6.0-1) ...\n",
            "Setting up espeak-data:amd64 (1.48.04+dfsg-5) ...\n",
            "Setting up libsonic0:amd64 (0.2.0-6) ...\n",
            "Setting up libespeak1:amd64 (1.48.04+dfsg-5) ...\n",
            "Setting up python-espeak (0.5-1build5) ...\n",
            "Processing triggers for libc-bin (2.27-3ubuntu1) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/python3.6/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link\n",
            "\n",
            "Ign:1 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n",
            "Get:2 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ InRelease [3,626 B]\n",
            "Ign:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\n",
            "Get:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release [697 B]\n",
            "Hit:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release\n",
            "Get:6 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Release.gpg [836 B]\n",
            "Hit:7 http://ppa.launchpad.net/graphics-drivers/ppa/ubuntu bionic InRelease\n",
            "Get:8 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\n",
            "Hit:9 http://archive.ubuntu.com/ubuntu bionic InRelease\n",
            "Get:10 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\n",
            "Get:12 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic InRelease [15.4 kB]\n",
            "Ign:13 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages\n",
            "Get:13 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  Packages [255 kB]\n",
            "Get:14 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]\n",
            "Get:15 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic/main Sources [1,857 kB]\n",
            "Get:16 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [884 kB]\n",
            "Get:17 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [116 kB]\n",
            "Get:18 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [1,336 kB]\n",
            "Get:19 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [1,038 kB]\n",
            "Get:20 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 Packages [9,558 B]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu bionic-updates/multiverse amd64 Packages [27.1 kB]\n",
            "Get:22 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [1,413 kB]\n",
            "Get:23 http://ppa.launchpad.net/marutter/c2d4u3.5/ubuntu bionic/main amd64 Packages [896 kB]\n",
            "Fetched 8,104 kB in 3s (3,072 kB/s)\n",
            "Reading package lists... Done\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-440\n",
            "Use 'sudo apt autoremove' to remove it.\n",
            "The following NEW packages will be installed:\n",
            "  espeak\n",
            "0 upgraded, 1 newly installed, 0 to remove and 54 not upgraded.\n",
            "Need to get 61.6 kB of archives.\n",
            "After this operation, 209 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak amd64 1.48.04+dfsg-5 [61.6 kB]\n",
            "Fetched 61.6 kB in 1s (118 kB/s)\n",
            "debconf: unable to initialize frontend: Dialog\n",
            "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n",
            "debconf: falling back to frontend: Readline\n",
            "debconf: unable to initialize frontend: Readline\n",
            "debconf: (This frontend requires a controlling tty.)\n",
            "debconf: falling back to frontend: Teletype\n",
            "dpkg-preconfigure: unable to re-open stdin: \n",
            "Selecting previously unselected package espeak.\n",
            "(Reading database ... 144794 files and directories currently installed.)\n",
            "Preparing to unpack .../espeak_1.48.04+dfsg-5_amd64.deb ...\n",
            "Unpacking espeak (1.48.04+dfsg-5) ...\n",
            "Setting up espeak (1.48.04+dfsg-5) ...\n",
            "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
            "Collecting pyttsx3\n",
            "  Downloading https://files.pythonhosted.org/packages/33/9a/de4781245f5ad966646fd276259ef7cfd400ba3cf7d5db7c0d5aab310c20/pyttsx3-2.90-py3-none-any.whl\n",
            "Installing collected packages: pyttsx3\n",
            "Successfully installed pyttsx3-2.90\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eDxtqOcOnf9k",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c15a4033-e531-4abd-8dbd-b84ca37435df"
      },
      "source": [
        "!espeak --version; ffmpeg -version"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "eSpeak text-to-speech: 1.48.03  04.Mar.14  Data at: /usr/lib/x86_64-linux-gnu/espeak-data\n",
            "ffmpeg version 3.4.8-0ubuntu0.2 Copyright (c) 2000-2020 the FFmpeg developers\n",
            "built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)\n",
            "configuration: --prefix=/usr --extra-version=0ubuntu0.2 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared\n",
            "libavutil      55. 78.100 / 55. 78.100\n",
            "libavcodec     57.107.100 / 57.107.100\n",
            "libavformat    57. 83.100 / 57. 83.100\n",
            "libavdevice    57. 10.100 / 57. 10.100\n",
            "libavfilter     6.107.100 /  6.107.100\n",
            "libavresample   3.  7.  0 /  3.  7.  0\n",
            "libswscale      4.  8.100 /  4.  8.100\n",
            "libswresample   2.  9.100 /  2.  9.100\n",
            "libpostproc    54.  7.100 / 54.  7.100\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O925Egq5rlfP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c98081bd-e160-4ae3-b920-b7146f331c4d"
      },
      "source": [
        "!pip install -U ipykernel\n",
        "!pip install -q streamlit\n",
        "!pip install pyngrok"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting ipykernel\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/52/19/c2812690d8b340987eecd2cbc18549b1d130b94c5d97fcbe49f5f8710edf/ipykernel-5.3.4-py3-none-any.whl (120kB)\n",
            "\r\u001b[K     |██▊                             | 10kB 16.2MB/s eta 0:00:01\r\u001b[K     |█████▍                          | 20kB 2.1MB/s eta 0:00:01\r\u001b[K     |████████▏                       | 30kB 2.7MB/s eta 0:00:01\r\u001b[K     |██████████▉                     | 40kB 3.1MB/s eta 0:00:01\r\u001b[K     |█████████████▋                  | 51kB 2.4MB/s eta 0:00:01\r\u001b[K     |████████████████▎               | 61kB 2.7MB/s eta 0:00:01\r\u001b[K     |███████████████████             | 71kB 3.0MB/s eta 0:00:01\r\u001b[K     |█████████████████████▊          | 81kB 3.3MB/s eta 0:00:01\r\u001b[K     |████████████████████████▌       | 92kB 3.5MB/s eta 0:00:01\r\u001b[K     |███████████████████████████▏    | 102kB 3.4MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 112kB 3.4MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 122kB 3.4MB/s \n",
            "\u001b[?25hRequirement already satisfied, skipping upgrade: jupyter-client in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.3.5)\n",
            "Requirement already satisfied, skipping upgrade: traitlets>=4.1.0 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (4.3.3)\n",
            "Requirement already satisfied, skipping upgrade: ipython>=5.0.0 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.5.0)\n",
            "Requirement already satisfied, skipping upgrade: tornado>=4.2 in /usr/local/lib/python3.6/dist-packages (from ipykernel) (5.1.1)\n",
            "Requirement already satisfied, skipping upgrade: pyzmq>=13 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (19.0.2)\n",
            "Requirement already satisfied, skipping upgrade: jupyter-core>=4.6.0 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (4.6.3)\n",
            "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel) (2.8.1)\n",
            "Requirement already satisfied, skipping upgrade: ipython-genutils in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (0.2.0)\n",
            "Requirement already satisfied, skipping upgrade: decorator in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (4.4.2)\n",
            "Requirement already satisfied, skipping upgrade: six in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.1.0->ipykernel) (1.15.0)\n",
            "Requirement already satisfied, skipping upgrade: pexpect; sys_platform != \"win32\" in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (4.8.0)\n",
            "Requirement already satisfied, skipping upgrade: setuptools>=18.5 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (49.2.0)\n",
            "Requirement already satisfied, skipping upgrade: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (1.0.18)\n",
            "Requirement already satisfied, skipping upgrade: pygments in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (2.1.3)\n",
            "Requirement already satisfied, skipping upgrade: simplegeneric>0.8 in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (0.8.1)\n",
            "Requirement already satisfied, skipping upgrade: pickleshare in /usr/local/lib/python3.6/dist-packages (from ipython>=5.0.0->ipykernel) (0.7.5)\n",
            "Requirement already satisfied, skipping upgrade: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->ipython>=5.0.0->ipykernel) (0.6.0)\n",
            "Requirement already satisfied, skipping upgrade: wcwidth in /usr/local/lib/python3.6/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=5.0.0->ipykernel) (0.2.5)\n",
            "\u001b[31mERROR: google-colab 1.0.0 has requirement ipykernel~=4.10, but you'll have ipykernel 5.3.4 which is incompatible.\u001b[0m\n",
            "Installing collected packages: ipykernel\n",
            "  Found existing installation: ipykernel 4.10.1\n",
            "    Uninstalling ipykernel-4.10.1:\n",
            "      Successfully uninstalled ipykernel-4.10.1\n",
            "Successfully installed ipykernel-5.3.4\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "ipykernel"
                ]
              }
            }
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\u001b[K     |████████████████████████████████| 7.2MB 3.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 102kB 11.3MB/s \n",
            "\u001b[K     |████████████████████████████████| 4.4MB 37.4MB/s \n",
            "\u001b[K     |████████████████████████████████| 112kB 41.3MB/s \n",
            "\u001b[?25h  Building wheel for watchdog (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for blinker (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for pathtools (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting pyngrok\n",
            "  Downloading https://files.pythonhosted.org/packages/05/4a/d16a3337672b5ca3ce5d67be9d26a62aecd4479785099b0a8ad40167e115/pyngrok-4.1.10.tar.gz\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from pyngrok) (0.16.0)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.6/dist-packages (from pyngrok) (3.13)\n",
            "Building wheels for collected packages: pyngrok\n",
            "  Building wheel for pyngrok (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for pyngrok: filename=pyngrok-4.1.10-cp36-none-any.whl size=16377 sha256=793febd8d4ce5600909aface7142a144ba8c3c284c00134cbf99ed0fa6e93df2\n",
            "  Stored in directory: /root/.cache/pip/wheels/0d/7f/06/e8079dd6f80eb6683fac47c4e1cb720b61cd82d6e4c13d87a5\n",
            "Successfully built pyngrok\n",
            "Installing collected packages: pyngrok\n",
            "Successfully installed pyngrok-4.1.10\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_mR-QUZWy7Px",
        "colab_type": "text"
      },
      "source": [
        "## Testing functionalities"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Z_Xf8vmBRaT",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Import libraries\n",
        "from googletrans import Translator\n",
        "import easyocr\n",
        "from gtts import gTTS\n",
        "from IPython.display import Audio"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ESbEAY2vBja2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        },
        "outputId": "3fbd10de-23eb-4869-c81f-d50584292b36"
      },
      "source": [
        "# Initializing ocr based on language\n",
        "eng_reader = easyocr.Reader(['en'])\n",
        "swahili_reader = easyocr.Reader(['sw'])\n",
        "afrikaans_reader = easyocr.Reader(['af'])\n",
        "arabic_reader = easyocr.Reader(['ar'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading detection model, please wait. This may take several minutes depending upon your network connection.\n",
            "Downloading recognition model, please wait. This may take several minutes depending upon your network connection.\n",
            "Downloading recognition model, please wait. This may take several minutes depending upon your network connection.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bmY4uzS0DdKI",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Google Translator\n",
        "translator = Translator()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nkhwdsW3GtJh",
        "colab_type": "code",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 73
        },
        "outputId": "3a38661d-826a-4be1-ab19-cd5af0e3f2b9"
      },
      "source": [
        "# Upload files from pc\n",
        "from google.colab import files\n",
        "uploaded = files.upload()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-8ad133e4-d974-4591-ad1f-4c4f9358a538\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-8ad133e4-d974-4591-ad1f-4c4f9358a538\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving aff.JPG to aff.JPG\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UpuW85dLDymS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "76d9a8d7-2e85-4c96-ebf7-3d660992da2a"
      },
      "source": [
        "# Display image\n",
        "import PIL\n",
        "from PIL import ImageDraw\n",
        "im = PIL.Image.open(\"aff.JPG\")\n",
        "im"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7FA4AEC16C88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "llOYilnCD_OP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        },
        "outputId": "3c2c1a31-d127-4fb5-a2ea-65b4d10cc4c9"
      },
      "source": [
        "# Detecting text\n",
        "bounds = afrikaans_reader.readtext('aff.JPG')\n",
        "bounds"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[([[119, 0], [325, 0], [325, 19], [119, 19]],\n",
              "  'AFRIKAANSE PATRIOT;',\n",
              "  0.05199261009693146),\n",
              " ([[229, 21], [303, 21], [303, 41], [229, 41]],\n",
              "  'gns blad!',\n",
              "  0.06388571858406067),\n",
              " ([[45, 25], [97, 25], [97, 41], [45, 41]], 'Ja,dit', 0.22347727417945862),\n",
              " ([[119, 25], [145, 25], [145, 41], [119, 41]], 'die', 0.7178317904472351),\n",
              " ([[309, 25], [385, 25], [385, 41], [309, 41]],\n",
              "  'Een beler',\n",
              "  0.23767933249473572),\n",
              " ([[149, 27], [191, 27], [191, 41], [149, 41]], 'naan', 0.04826238751411438),\n",
              " ([[197, 27], [225, 27], [225, 41], [197, 41]], 'vl', 0.0016399595187976956),\n",
              " ([[389, 27], [431, 27], [431, 41], [389, 41]], 'it', 0.005182032007724047),\n",
              " ([[13, 41], [45, 41], [45, 57], [13, 57]], 'kan', 0.1860281229019165),\n",
              " ([[311, 41], [363, 41], [363, 57], [311, 57]],\n",
              "  'Paivini',\n",
              "  0.14725536108016968),\n",
              " ([[53, 43], [81, 43], [81, 57], [53, 57]], 'nns', 0.8598635792732239),\n",
              " ([[91, 43], [133, 43], [133, 57], [91, 57]], 'noort', 0.18622033298015594),\n",
              " ([[141, 43], [167, 43], [167, 57], [141, 57]], 'krt', 0.02119266986846924),\n",
              " ([[179, 43], [203, 43], [203, 57], [179, 57]], 'nir', 0.0317993126809597),\n",
              " ([[217, 43], [255, 43], [255, 57], [217, 57]], 'wsnt', 0.2509152591228485),\n",
              " ([[265, 43], [293, 43], [293, 57], [265, 57]], 'cen', 0.6768894195556641),\n",
              " ([[403, 45], [431, 45], [431, 57], [403, 57]], 'cen', 0.7687781453132629),\n",
              " ([[233, 58], [325, 58], [325, 75], [233, 75]],\n",
              "  'onsknernnt',\n",
              "  0.23781722784042358),\n",
              " ([[331, 58], [409, 58], [409, 76], [331, 76]],\n",
              "  'ool mnaak',\n",
              "  0.06342652440071106),\n",
              " ([[15, 59], [59, 59], [59, 73], [15, 73]], 'flulss', 0.08967619389295578),\n",
              " ([[67, 59], [105, 59], [105, 75], [67, 75]], 'vent,', 0.4371016025543213),\n",
              " ([[165, 59], [189, 59], [189, 73], [165, 73]], 'wil', 0.34278780221939087),\n",
              " ([[111, 61], [131, 61], [131, 73], [111, 73]], 'cn', 0.19504277408123016),\n",
              " ([[139, 61], [157, 61], [157, 73], [139, 73]], '5o', 0.043290287256240845),\n",
              " ([[197, 61], [225, 61], [225, 75], [197, 75]], 'ons', 0.49130696058273315),\n",
              " ([[15, 75], [55, 75], [55, 91], [15, 91]], 'klein.', 0.7794898152351379),\n",
              " ([[61, 75], [145, 75], [145, 91], [61, 91]],\n",
              "  'nl:tar Tluks.',\n",
              "  0.005473830737173557)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8ff6DfS6FNqx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Function for drawing bounded boxes on image\n",
        "def draw_boxes(image, bounds, color='yellow',width=2):\n",
        "    ima = image.copy()\n",
        "    draw = ImageDraw.Draw(ima)\n",
        "    for bound in bounds:\n",
        "        p0,p1,p2,p3 = bound[0]\n",
        "        draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)\n",
        "    return ima  "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "10JJyqpQkYe_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Making copies of original image\n",
        "img2 = im.copy()\n",
        "img3 = im.copy()\n",
        "img4 = im.copy()\n",
        "img5 = im.copy()\n",
        "img6 = im.copy()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VgMsARJjHxYC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "b39c1ae1-3f45-4c3a-b009-9ef2b21e3c95"
      },
      "source": [
        "draw_boxes(im, bounds)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=442x95 at 0x7FA4AEC16DD8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Eb6xjgZzkJPN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "341272e7-3780-4645-c23b-31ac578b0df1"
      },
      "source": [
        "im"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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lpWaziVCAFweESM5pGAa9XrfX647HwzgOLy/P19fXLcuI45Bz7jhWFEW+702nU4TSRqNRt9tdWVkpFosIXzYajWq1ilwz5Om9e/fW19dJJoBICEGwwjCMSqVCKc3n87/4xS8Mw3Acx7KsUqkESfrgwQOYde12G0FGyHcdfEhRASyO4yThiLeWSqVisQi5UygUGGP9fv/i4uL09BSC0nVtQshwOOx0Op1O5/DwsFqtbm5u4v7QHIgwKqVevnzZbDYfPHhQr9chmmF1lkolz/Mcx9nY2BBC9Pv958+fX15eVqtVhDLhyCMyi3jF2dnZb3/72zAMf/rTn+7v7zcaDUppoVB49OjR7373uziOW63W1tbW5uZmqVR69vTFixcvOOebm5tbW1sIMhBCRqMRltU0zXq9jqc7jpMkyebmJiIwUkohCGb7A7Lyn8oZvylV/rQB/Alm0J9wfUhc3rTUPjCCP9ewbgpE/POdVie5YfTpYVzLXOvl+fPug5vTAssOYfUwDAkhSIMEQYAwE6UUZh3AK6Px/PXr13t7e3CjisViEAQw7iilcRyPx2PEGU3TRMpY57iRkSgWi3DuJpOJUqpYLM7nc2S6gyCAyLYsC8IaQjmKovF4/Pr1a8/z7t69e+fOHQg1Sqnr5uBrTyaTyWTCGINsPT8/r9frlmVhePm8gxeZz+eGYRSLxV6vNxgM5vO5UgqoJtu2m83m8vIyLCbcH+EFWG2maYZhCAjO4eEh5/z4+BgGNQ52vV7f3t5+8eIFZjhJEsdx6vV6qVTCwGDnQmxh0aMoSpLEtm3LskzTQJwXQdulpaWVlRUAtjzPc1231Sp3uyPEKOfzue/7V1dXV1dX6+vryH0RQkzTNAwDifs4jn1/bpq8UMiFYRiGYZJQxojjWKbJGSOmyR3HUkoMBj3PmzmOJURsWYZp8iSJ4jhErtyyjMlkdHJyVK/Xd3e3W62m53mWZS0tNe7fv/9//p//n83NzXv37iFSUSwWS6USXoQQYts2AtOe50VR5DgO1hpJIUJIo9EghBQKhWazubW1NRwOlVKu69o27/VGuVzuB27sf8x8y/+fmJZ/9DKu4RzJ20ayjgeRjP7BSdaK6JowvSbFdBpU3xw/4Lk3Pdxr39T/vCZGb37t2g/ZV8Bos6nJ7Ney47z5XHx+M6DzPicCOZlarfaf/tN/AlIviqLt7W3O+dLSEuxKy7IeP368vLxcLBYPj15/+eWX9+7dq1Qqrut6ngdDBl5kt9s1TbNUKvV6vaurq3q9/stf/hIxONd15/P54eHhdDo9PT31PO/27dsbGxucM0hVSA3YGrPZrN1uIdkqhPj+++/7/X6z2fzVr37VbDYBckTKRaVgz1Kp9F//63/d2NgwDOP169ePHz++c+eO53nIUxFChsOh4ziXl5elUulf/It/wTnvdDonJycIp+LpAFH+1V/9VafT+frrr1++fFmr1W7fvg0bHJHcVqv161//2jTN58+fn5ycfPLJJ0EQIP0FZ5kxNp/PT05OlpeX+/3+kydPPv/880KhAEGJnAyyz6ZpKkUhQy3L7PX6lmVhrkqlUrfbffjw4XA4XF9fL5VK+Xx+Nkvy+fwf/vCHfr//6aef7uzsPHz48OHDh9Vq9YsvvtCubhiGQBSQNNGPRQQkE6465zwIgqOjo9lsNpvNNjY22u12LpczTTNJkvl8jjgGAAOU0mfPnmFLaJ2BL8Rx7Lru0dHR2traxx9/vDD5PQ9TQSmdz+eVSuXx48e/+93v8vn8f/7P/xmwKsuykE7Epi0Wi8vLy8DzEkKEEJ4nPiArf2zG/Mde+v4If+vPf+B511dWXtEUZXEzXnfz+x8419dG8s4L33xjXV7zZN9ntV277zVZ+c67/ZAB/WlJmPf98M7BqHeBJd+nRT+wADe/mf2nZdkIROpfIRYJjDRO7+np6WAwIITgpDHGLi8v9/f3K5UKAJhxHNu2XSgUkAzB0iLVMJ/Pkb92HKfT6XzzzTdKqdlsdu/evb29Pdu2R6Mx/hb5H8uy8vk859z3A8jQ6XQqhPA8D4glZJBgTHHOCZFxksRJeHR8ECfhZDqybMMw2eHR66fPnjx48IAbOT+YRzEvV4pPnjwZjUawa8rl8uHh4dHR0crKSrPZRP6BUorZuH//vpTy7Ozsyy+/7Pf7MIE1fr5YLCIZdXBw8D//5//89ttv/8N/+A/7+/v4zmw26/V6T58+PTs7g+yYTCbw3HH24Iljkk3TRtAzimIdq4mi6OXLl7Zt+76/sbFx9+7d5eVlCLjhsN/v91ECQAgRQszn88FgMBqNgFFXSunSjDiOwzBOEkkph1wmhClFCWG93uDFi1fn55dYoF/96tdra2u2vYj2Usop5YQwzk3bdguF0ng8NQwrny9yblLKLcthzPD9IIuR1HhYwEtt24ZhTgiBIoTyg6gFMJZmCjF+1Jl6327/c9mYHygPyVoh18Km2iP8cDj1h9ukP/xcv/P6QTD1m3GNmzrhncLxA4N7X+bkmu128zt/2ttCM1+7eXYZ3jnCH/UsCDVgzrP5EMTpELEihPi+f3h4SAgJwxCByFKp9Pr16+3tbTiqcRz7vp9W+DSq1aphGIVCoVarRVFUqVQmk0mxWAzDcDgc+r6Pyg3TNJvNpuu6ACrBi4fkpSncnTGWy+VyudzS0pLruhcXF0+ePLEsC/l01LrAV53NZi9fvkSgrVarNZvNw8PDR48ebWxsIAsBmFGn04GdaNv21tbW2dnZeDweDofb29uU0ul0CuxhFEW7u7tInT98+PDLL79cW1uDCQnsYS6X+/nPf/7q1SshxHg87na7f//3f885X15efvLkyXw+bzabiOIRQizLqtfr11Q7/imEICS2LAvGIKx7TP7S0hJEjOM4KysrqLmCCQ/Eay6XwzyPx+OTk5OPP/64WCxi1VSK60S1DCFEVyVhAFA5mHY4BJubm0hJYw+EYTifzzEqRGaQfIMGzeVyGgYLexmRE7hxSimN/4/jGBO+urqKx5EU4a+x+hpZld3JP3wb/2+6PmzK/JDvv+9rP/DtrsmxP+0yborC9z3sA194n9z5IeLmnWbsHxWOf/TON83s9xnC5P2S8QMzmw0mZCcHBYs6WQnfFqYWgJNIRm9vbzuOUygUVteWy+Xy119/fXp62mq1KpVKoVAghJTL5X6/b1kWziEszSiKptMpENGmaa6urn7++ecQbTDrtre3YTDCPIExi4MKMxYplM3NzdXV1TAMYa/lcrlqtZrP5+EYDofDy8vLMAwRUUWwrNfrHR8fHx0dIUCmlDo+PmaMtdvtfD6PhDLE5fn5+WeffaanDu6kUqpWq/30pz+1LOtv//ZvX716VSwW8askSZDMXV5ertfr+Xz+N7/5je/74/G4UqnUarVisdhut9fW1qrVKqW0WCz6vq/twax5AumGpdHgVs55Pp+v1+vlcnllZUVLFqSSer0e8AZIkQ2Hw2fPnp2enk6nU4wQFhxua9u2ZdmMcdt24jiWEseBWpZdrze2t3eKxSIhtNPpPH78ZHt727YdSGHP803TyucLrpszDJMxvrm51ev1e73+fO41Gg3fD4QQrpt78eIFsnxQYKhEQNgaiAss4urq6vr6OqXU932SergaGPtOWfk+QyR7Rn749WOFzg95bnaoN4d98w4fNsjeN+Y/g3WpMsnlm/fNioP3GWgfno4PS+F3/vABq/var36IAfsPmaN3XjeXCv/UteRazyOvCrsP5l65XP7iiy9gXExnY+RDX79+Xa1WIS51XRCMR9yHc476NqXUwcEBznm5XN7Z2RFCPH369G//9m/7/f6DBw+QfwcyCTl3pAtw2KSU+Xz+1q1bcRw/efKk0+n87ne/C8NwY2MDoCXf96fT6fr6+scff4z6n1qtJqX8L//lv1xcXHz00Uf5fN73/a+//rrVajUbLaSJ4zje3d395ptvYIQiqYJEP0SGTnDPZrOvvvoKkQEgtB89evTpp5/GcdxsNr/44gshxMHBAaW03W5//fXXQA5BwEFkvH79WinVaDRqtdo1cYk6HAQBfN/vdrtBsPBwIYM0Kms6nfZ6vclksrm5ubGxAWBpGIbj8fjVq1fPnj2Dh4uAyXw+n0wmSO/M53MUdyK8gwzebDbjnK+vr8Og/m//7b/98pe/pJSurq4Wi0VsiTiOZ7OZ7/v1en1ra+v169dIuDmOo0sYnj596rpuq9WybTuOY2RyyMJwJkKIQqFgWYbnBSgtRRFBvV5HdAI4Adib5F3H6p/q+gA8/qYRpjLlp/qTm3/4p3nW/yDr8trj3zc4krGksgO9Zl5l75b925tC84864/Q9AdMfKCtv3vmdt9Wfqxvh2g/f/+by4w66gk0XnCTpBbxkp9PRgTAkKIrFYqPRuLq6Go1G/X4ffzKfz2EEIQ+Dsh/TNMvl/Gg0m81m+GQ6ne7t7X3xxReMsefPnz9+/Nh13dXV1XK5TAhBThzONWNsMBgEQTCfz/v9vmEYn376abPZ/Ou//uvT01PkoGBMHR4eXl5e7u3twW0cjUbI21BKLy4uTk5OGo3GYDD49ttvf/7zn2+sbwHVRAhZW1s7OTm5vLw8OjoqlUrAe08mE9Bq4Hjncrmf/exnjLHz83MoDKXUdDr967/+a6SAvvvuu8vLy48//nhnZ+fp06fdblcpNRwOe70eJB3E2dLSUj6fhzmPwCVNq0SQlxdCDAYDSBONTABeUinled75+flXX31l2yaAVpjktbW1Tqczm80ODw9brVatVsPnWCzGmDcP+r1hoz6D6orjZDqZx5GwTCcMYoNbG+tbIlGvXh5cdfsnxTNK+NKSjKKIKKYknU29yXgml8nqyvrHH316cHDQubzKucetVsv3/fPzcynl3t7ezs5OpVIBNApBFbwmfAVC8oA9xHH8+9//HhUKruvCcMYLvu98/cCT8me/3nf/DwiNm59fe68fG3D4h9tPP8gZ/7BjmxWd75REf/T+1551TRy/06LU93wfwCj7T5pBeOl/3nz0Dxmevt6pLWFdwt7R4hLZ1WKxCJS1YRj5fD6fz+M7URyYpvnzn//84uICkUEYNXfv3t3Z2cnn82DHgdNKCJnPwyiKPvroo52dHaXUxsYGZNCvf/3rdrs9Go0AtwTm7pNPPkmSZH19vd1uE0KazeYvf/nLnZ2dra2t6XTabDY3NjYePHjQbDZzuVyj0cDA2u020DxA7ZVKJQijf/tv/61hGPV6vV6vE0J+/vOfb21tgc4H9X+lUmlvbw/pKWAkoQlgX8M2tCyr1Wr97Gc/Ozw8rNVqhUJhOp3evn0bwMAkSdbW1trt9s7ODjDtQBQ5jnN6etrpdAghiNWWSiUYrYgh6oXDP1nKoFGv1z/66CPgrgCNRHlPPp+HLV8qFTB4GLCu625sbFBKR6MRMmBIpLiuu7S0dOfOHfw5PqeUwsysVqu/+tWvlpaWHMdBNgapcPj7lFLbtnd2dhA4RkihUCjcv3+/XC4Ph0OSuiC+79+5c6debwCTjyAAAGfQXowxAIPwIpzzwWDAOV9ZWcFbZwGtN4/Dn2CO/RDX7R9yXTtH+nHXMuDk/ef9w+O8ef1DXHJ6ehGQd9l37zPjZUquoz+5lpK/Jt2uefQ3Z/nao7Ohiuyt3ncfjY+7Of5rUj5rQl6brOw2unb/99nF2YB69m5CLCAyGrcE2wcF2qjgrlQqhBAkuINwYTgA2YNssmmaQCArpQAYQj4UsknDOaWU6+trV1c9TRgBlxAQHPwfAMNSqQQj0TCM+XwO9Djk19XVFfDYAP3kcu75+TlS6tVqFTxsSDUA6EcprdVqKEyM47hWbXa73XZ7aT73AcMEmxyq+jzPG4/HhJBGowHAeUoAYQ2Hw1KpVCgUTk9Pl5aWgNlEKgay1bZtoAsRYMUsUUpx80qlAsUAfiYEagkhjBlhGCLb4/s+TDAgDVAMgzlEqOT4+JhShdkgGZAQKgKazSbEKDTWcDgMgkApilit3h7D4RBTF0VRvV6Hfef7/tnZGcoNoEE7nQ4gnGAYQtoKM0YIASZpPB5Xa4V8vsBS/hTYyPOZn5LI2fl8HvM2nU5ns9mXX34Zx/GtW7fu3LkD8Yo50RLz2kF+n7h5n/j7QEb7nZ+/73qfeLqWmNI/6JItXGzBn0JgNPwJ1zvn4YfbmwuxcN55N9A/q6Cyl0xpFm8649mnvlNLkLfFkJ4L/YlKuXZomuhEtoR8MPbxvtfTl8pc2URn1oZFrhMHki3IF+TNfE5WFt+0WLNG97ULQUNdgkJTRhnDXOBUdJweqWTA5W6qDSnevS5wwfSX8QjGWBTP3zn/gMjgwprKlLDnR82zSAytG/CJLt/WM4xP0u+8+/hp6ILezfhDykR2Ncn7D3b2NcmNfZg9fuStiX2ziHrjYZ9oDlCZ4es0jRxCK4iN0JTtzXEcTWSJxVVpCBXbmKRcefrpuAmIPzShn++HMsOchPtDzej9iftjGF999VW9XodDAFs7CwJ51/y8tZ30lGbnP2s6JInM7nl9Z7yR/lVme1xf3x8ihn7IF9KluW4effhS6rrayNzqHXEASj802vcCif40Y/XmX71/2d6afW336X9CmtyUqj9wnNn7qAyDL2TTDxFwWoa+76H422vi/p230i+oOYcy94+0HNc0X9fi3Dff64df13abvnQ9nJ5elhJQ/qj7/9Eh/UAx975LZ3Kymoy+n+b5nWcgu4uuDUNjKmlGg2I53nk3DVDVY8CmMgyulWv2lWXKd6dvq18h+zj8LVBfWbY6rWlkemX3HmPs1q1busZfpuTQOkv+gevaPOhHaDEtF/zNb4mId27y7Dwr9Ua8kszqv2+9fvj1p0mkd+7/a/vnh9/ZoD9SDH3g+qPHOzvXULPZl8mqO70z/qi4/PAh1NuLZGzArG7Rf65PI8nsRXoj1pPdGdkx6E3/PutMh5b0lxfHXrF0nAQjYowRgue+NTnZwd+8ro1Hf8jYdWs0e+wppYxRklqjmIl33v/D8599IrmhC7P/fN+2urZP9IeMcqmwGaD6KaGMUkbec5+3BVzm9oRQQvEffon/KKWZH6iec0KoUhgVpZTpn0VKhJ6VZXozZ15zIX9R8MNSNl8NctKmgL6P3hj6/hqIpn0FLTRpatED6k/edvs+rLbf+SEsg6zm0G+n76nvT961H67JcT0h7xvJh69rf5jZEv+gW/3R8XxY7r1XXP7YGMe1x7zzbX+g9CFv7zy9/z7wGu8cT/bUQWECJZMRDQvfU+9XHW3U4uwD99c3/yHbVKbs6Ppxi4Ajs6SUhDFKJCVUJErSN9sUT9L/p4TQH9YkQ1+MGiSzlUkqD5gWc4ooRYSE+CCE/LiY1E31oIVFdpI/IOivXe/cIfoOWfnyQ/78j15SkFRRKcaolgyUcCWpIpQSTojCLFHCVeYp2TeKolhrIJVai1h0fEHLIJKJMmnxhP3JOY+ikGTMYe1waDHNUuS8pibI3h8/Iw31vld+p6TTEYDs+H+4sLt23PT/f+xyXBvku/78Rxdr3jyq7/xtuqYfutUfr+r5s1w0Yzyq1Ld65zev+Vwqc/0Jz83OBU2BJjokpIUIglPZ0NXNHZOVOORtKZm1od43EjyUECJSQnIcBsRiaMpPrjLR1XdO4B9902tjxo80Y5/iV+w9NfI/1hx45/dvTgX7YyT577MupSSUwrZ6sx+kVJS+79h8QIy+sR8hIvHqWjtq5zprVemHkgXIYSFN6NvZPJHS0es3hYCDG65j1tpC1F/W80PTFGLWKWZpvQOKaDUEXWVsVS1bs2HTD0x1dsL1N7U4JhnrAcHQa39yU5Dp+cmOJPurH64s/+xX9hRfU3LXXuGH3M34k8X/teud5y17Punb7vZb9k56EUKwUbKmxIdf5n3LkN3oWWmLhKOWSrgAcCFvhyPxHS3Frr2pdl7Iu3bJzUvH+LUmSKWnwoIytjAc0t/ctNred+8PTYhSb7xL3OTGlL4l3N431e/f7vr7b6k0SllWysDh/SGb7cZ3GCYnHYCSUihFfoi4fFsEy6y41M649sf1oug9oJSilEFYS4l14UrJ7Ca5dg61uNQ/s7TQCHtDS2HtYpMMe5YQwjR5kujNudDlUkqYfYRIvX2gOIBqArCJvBUp/pAVll1ylZovPNMRTykFBa9Ukp3MzF/BcNZrqlI1w6/NzJ8mLt+/VX5sRh7Wdzau9aFnfXiH/tnE5c3rmha6ZnFkRRjJSEzw8egwSlae/mljuGY1XBPBLMVIZof0rmNzPTyk1f41if+BkHa6n97YsGmXmMXn+lbvSzH9kPclN2b+nd9534c/dj9kT8W1X+kPsxrow5nH7NKkQ3qjNa/d6sNDIm+/Kc1c15558zsqc5G351MI0BTRVL7BKKMIN6PCW0qplGCMGgaTMiFE6ZAPIYxSahgM+5xSlo0YYkumcuqNE8YYyyIfaBo1wha6NuH0g2r7A5Om3uNRvTVZb+uJa48mqXeYhTH9aSc3KzduPu6HXzc3w7X9c+2HDz/oB/Xq+YeM8gOfa0mEKytHsklAbY6984bvOzZZYERWZwLrqx+tK5rJ2xFMmlIb6HFeeyLLcMHpFf2AuLyW5VdKAQhSLBalxG+plCT1Pd+NFsKbvW8e3jlF2rrM/JYSQpDhIW9LKELI+7X3+xb03UuQPdvZT963reh7og1Z9zM7gX80tn7tmL1PXArxJiys1BtXXcd4CWHafyDkTQwRK6h3kQ5W6gvGGtBCWhgppVDM7vu+TpeTjFjJ3h+uBvwh3BNPzAYBfN8HSFYL2RsL+u5ZuiYTIeB00ICkx/DmpnqnDNU/aMWvH6El+wfG80OuVDj8KX9F3iV5yB+bpZvXdUl0Ta/qu9NM5CX7W/ws3wbNZe9z7c56M+FuOjojpQSfrpTScSzOORheXddFwR8hhDEWBIFlLbam7/uOY2Q9Gi1hKaWozIOfgrZQoCpQSuFXgPIKIWazmRDCNA0Nv3BdU0eLlFIYFbwqDfcZjUYato0BCyE4f4NL16uCUbnuovoYOwkIatd1oyihlObztu/7GABq+JIkMYxFbx9MoA566glHMAuvDwh01uLI5Uy8pmEYlmUAzkkpxSANg87nc90RmzFmWRwpAvGGzG0BFQRGWkppmty2F1ngLFw0OyosKE44GHyxKMgRY1GgpTBLECjajCLpQcX74v96cbOrrH1GPRKMH/jHKIoMg1sWA6ofW8g030QkZVr3rWeSpTxSURTNZjPP866uroD8B3OKTLuWR1EEaLp+O4DzScrXJ8SiV7jnefm8gz/EMFDhSinVhEk8bU5HMkAlzAmoNuFro9Qd9wFhFY4JnohdCpolyzLxgkDXYmDZxUJBKh6Ho0HSbpR4imkaKI0HcyhugnnAtKM0II7jXM7CUcrlXNu28/mcSiEiMkPaxBjTLaP1/EMl5HKm1j0ybcvOGAMW1bKM7MqCnikMfcNgQeBxTgmRSgkpE8tiQeDZNkuSKIoC35+77gIbR9PcAOfcNI1raG6ZQTjQD17Xrcv3KXnyfvvlT7uu3U0/FDFEyA7LshyHghYBC2DbNueLxIhhGJ4Xab/j2t20FUlSCwWeL6X08vKSUgre8l6vp5RqNBpJIrRyhnAwDMO2zdnM09peb5fxeNzpdHQXw6xNATGhX0er1ul0ztMm4ygaEUJ0u128VBzbSolO52I+n29vb4ehb1mWEEnKSgu9wq856VqC6LdGbgHsFUFAkyTJ53NxHKWQFCplohRNksQwHNtG4x2RJJEQVCmTMSJlopTg3OCcRlEcx6HjOPm8i9mTUkZRgjJ2QoiUCUahHVJYAJzTJImkTKRMGCOMEZg+lCrLNoQQiUhLcWyDUBlGPop5kkQwxkzLoCk8W2UsSpJRw9B8ECJqgXxckEoYhmFZpu8Hnue7rmvbtuuyMCSU0jiWOHiaDMm2zfS0LPzrIPCCIMDeEEKsra3Bd8byMU7mngf2dcaJaZqMkygODMOgTEmVCBlbtsEYvjm1bCMRYjjqY8dadolQqYhwc+58PpvNZqVSyTRNqZJERIpIQpSUSZKgR4jpOFaSJJ43A+UlpTQIPEyLaZpSJqZpChHHcSiltG2zVCoEQTCbTfP5fBj6QSBN0+TcUUpRSkzTCoIIYlq9fWkdFobh+fk5pRTk+YyR+XyG9U2SCNZGkiSua1OqhIiDIDIMBqJ43AeIelAl4VnaQsIcapcOpzKKbJVWD2PrQtmgr0YYLoqydCIL5QNpHQElRFv6i9ygbduGQT0v9LwYG48xQqnChrQsy7bNMAwpZZRicy5yv1EUm6b9AallaFmjTzi9ge9TPyBg9CdcN++G1RqN/OfPn1NK2+02WKrAPwa5EEUKFhPKCrEeuFTGayMpug3HA+fKSJtY1ev15eX2cDg6OjqCCt3c3DRNE2dYF3JAEGEhtW6fz+cXFxePHz++d+/e5uYm/CDyNoAZqpJkEtBgXXMcniQL5gvwKo7H4729PRCLHR4e9vv9vb09nXfSGytJO3SLtD46KyjxCSwUXUNCCEEDrFRLW9pJhHmL99L6H3fWJnnW1DIW/cKYnk9cnHPDMLNJM22sqUzYF/OG30Igatc1a3LKNMSs34sxlsnBXFeHujxfpXkJnDSZtrFEsQ0hZD5f+LB6BjBpURQZhq0yyCQQDk2nU9/3v/vuO7QjXlpawvgJIbPZDH3Z0F9obW3NMAzNX6m3HPQiJm0ymbx8+ZIQArI7PP3i4uLg4GA6nX700UfNZhMvYhgGo0S/CKrCdRdlTbes5wcviJIeFLyiRB3vDo8n61DHcSzlYrfITCBeAzzRfuOrr74Kw/Cv/uqvCoWCafLZbAbiasYY6u5FynskhAjD0HGc4XCIGUDjYpLmVOHfsBR2iv9nMcgsrZvCkmGrsBQgpRWDNoCiKDAMRohMeVvi9C1EksScUxgHnLuMEdgB2ojR/LOEEG1T48Vh2v9RbP8b6/KaxPyjou3Pct28bRiGl5eXv//976WU9+/fR3OoVHi9ObHoas8yaI9r1oeWICJtxu15nhDi4ODgu+++29jYWFtbG41GoOoZj8ew4waDQb1e19BfiAaVST3BLxBCzNMr61rqtDtJU/xkgYaR2Fhx7EAloCD6+Pj4+Pgwl3MqldJ8Pp9MRkHgDYd9cMQSQmzb5pwGQZQkMWMsihIhlH6cyuTZobpt24Ktpy0IIWJKlW1bnDPPCyilpsmlVLD1pEyUknBBILJs20ZrM3Se4ZwSQsLQNwxDyoSmkYc4jqMoNk3TNLlMY2pYQQxJBwqgqEBoxBjzfE934wLNDwxAGBRQjViLNFyDZZW4fbrWJAhCziljzLIMpVS6EUQaUZFgcbJt6vuJ581t27YsJ0kkpQwWnGEYcQxrWmInSimFiJUSnNPpdPzixTPLsnZ3t5eXW7lcLggC349A6XRxcdHpdPb399GcA8MG3RHcZCEEyt6llJPJ5ODgAJp4dXUVJ/Po6Oibb77xPG97exstKFQmhqgyOCEhhOd5/+N//I+zszPTNMHDghDTdDr9+OOP8/l8o9FAq48oiizLsm07CIJKpRyGkbbyYF5Q+mZDapmlxUQYhtPpFFr8L//yL4WAk2tplSBS3k+EcdAyPo5j9HFrNBqGYeLQ5XI5xyHTqYzjOJ/P4xE6toNHY9JwT4h4Ldo45xh5Pu9SSubzALrBMJlUiZBCyNgwnSTt5WkwJkTsuFYcx0HoKSIopbZjhkGswaoICDDGZrOZJp+HKQaNa1nWhzOsb8qtyB/zxH+EFPxhlzYDSSb2DCOo2+0KIXZ2dgzDyOXs6dTDGkNNgQqQvV1NkR0nDpWOi+NXSZKg+ZdM69IqlQoaBObzeVBjfffdd3t7eyAHw+klhOhOADjwrus2Go1f/epXy8vLOEXYH/gtIkoktZK0QM/nXXj3SSLBYqmUchwHvLzo0vPxxx+bpgl64DAMNRcsIQSq2/d9nbrRUwchDtGjlAInYz6fx55zXVu3mfV9X9NSFAqF2WymPVnLsiBhZ7MZFC+lFDEvxB+hGBhjtVrNcQzPi4MgKJfLYbiAZ+v8AzxZxhiYfkD0C1+bpV00fN+HnYVu4DB1s04cKDvjOLZcR0qpFoU9kJWMUuq6dpLEQRBryxRMTrZtBoE3m01w9nzfTM00SqnyvJn+fq1WMwym3iBmFMiHisUimJlarRYmFi3e8O69flIoFKDM9OvAy0HTCCwrFgKn0ff90WgENUDTGnPLsmDJ6kDTIq5NFsE77GrTZCDS39jY6Pf7pVLp5z//+fb2dhiGaAqEYA7YScC/BwYjQghjBF2A4EykhZJvwTy02aUjziByn0wmnPPZbBbHYalUAlsS4jy9Xg+NksC3NJ/Pz87OHj16tLOz47puuVyFZZAkSRBYeATmFk4VDqbeLVrm6B+gHjS163Q6x/xAv5oWw6IYBhciSS1UyhibTiemaSglOWeUEilFHCuAsbAnVdppFcsEDxXnS5ux5H3lYoSQm874Taf7f7ddeU1iQkDgBCK+HkXi4uICugXOJrQx7Jds5C57K3gi6Fx4cXERRREi9+fn54PBoNVqQcbBFpjNZkqp4+Pj3/3ud7gD/C8d4FeZ4DTCK51OB/Ri4KlEaIkQAnZe7RNp8T2ZzAghMEwuLi4IIb7vn5yc+MF07k39YH7V6+CUdq98xth8Pu/1ehBYuVxud3e3mWsqIji32dswEWxlkFQWi0Uw9ICdbGdnZzjqv379GrFgKWW73bYdU6qkP7g6OTlJkgSWXblcXl1ddXP2dw+/AfGl67pgPwIdJPzTJElWV1d3d3elEooIblBvHmKWIIN83z89PT0+PnZdF/ENeK+FQgEpl3zBRZ8ycKRTSkej0cOHDwkhxWJRSul5Xrlc3t3dLZfLOqqgnYbshun1etPpFDJiMpnkcrnl5eUwDNFLHXoLPumtW7dqtdpsNjs5OdEuuWEYjuNQpgjlnHGlJKGSG9S0bMZYGPlSJZPp6OmzJ53uBUib7t69C3p5LLGUEhm/0Wi0s7MDOtFms7m83Pb94PLyEoTQMNmwsbG3KaXNZrNSqUATB0EAAUcpxWmFNEmSJAw5IQTMnpDa0G0IvGDD2LY9Ho8vLy8JIWjE1Gq1yuVyt9t/9eoVBM3l5SUs+t3d/WwaXT8LEwt6OtiMFxcXYRhOJqN2u41eTL7vTyaTTqeDMYDStN/vf/XVV4eHh3id2WwG/Qc2ZfRkDsNwNBoNh0MITYxwZWUFBm+y4PlnccygQdECGuyFmOHd3d21tbXJZDIYjhEuM01zPB4vLy9jAuM4vri4QIoPWWLsCt9bBO5xLnBPqEAhRKFQWFlZATtUNuXwvuuf0hm/5jjjitM+3SztHOt53uHhoW3b1Wp1Npt1u93PPvus2WxCTfGUIiF7omjKxQ+isGfPngkharWajvug+Reih0KIjY2Ner2eJAnYxqBwtPuASKLu3zCbzc7Ozv7whz8UCoV2uz0cDrvdLkQ5RoujRdMUM9QAYtXn5+dHR0fz+Rw04JTSOI5M0+CcKSUPDl5blrW7uxsE8fPnz5CpHI/HSZIQovL5HOeLWunsRkd08uXLl69fv15dXS2VSvP5/Orqqtls7uzsXFycn5wcc85LpdJwOJzNpobBG43G+fnZ0dFhsVisVCrdbnc6nVQqZcsyPW/++PGjJElu377tOE632zk7O61Wq61WKwj8y8vL+XxWrVaWlpYwZkKlaXGlVJwkSikh49F4cHD4ihBSKObK5bLnz0bjgR8sAoLVqEopvbi4QMKt3W5HUfT9999HUYRGhhcXFzjPt27dMk0zEREhhDLCKEAkSqpESXV5eXlycqKUarfbQsbnF6dSyigOlpeXXx+8fPHiRS6XW1tbu7q66vV6URzcv39/MpkcHh1Uq1V0/Y6T0FKGQblSEtFXQpQOCxsGl1JIKUzTME2j2+0Mh0PD4NvbO5msI4ecGg6HW1tbnU4H7M7lcrnX6x0eHsIlp2/3PsRmgM2IAyxSwNAiFEsEoYpxImUShEJKaZjMMBmhMoqD7tVlIqLpdArbYnt7mxtOr989OTkBC5/neXNvurW1RQh5+uwJJLjv+77vdzqdQqGUz+fRtVhnrjVtEsKXMA+vrq6EEJed01evX6ytrf3617++uryaTqeDYQ8KoNlsrq6uSinPL06jOGCcKCL6/f75+TnOC0IW6AD84sULUDUjLADq6OxpJWkYMY7jwWDw1Vdf5XK5jY2NKIrOz8+VUsViMUmSb775w+rqKoTVo0ePfv3rX5dKJTR0mU6njmN1Oh3btkFaOp9Pv/32EawB13X7/f5kMimXy0tLS1g4y7I+/fTTu3fvmqYZhnGcSM4+lOr539st8wdeWVlM0/pZ7TKAsh80f77vv379utvtQlcAkJGNWur7wGKHM3h5eel5XrvdvnfvHvpVoff3ZDJBmKbZbLZaLTQzWFtbQ0tb7TexTGYcafrJZNLtdqEqe71et9vFyd/a2gLmht0AJRBChBDouG3b9u7u7vb2Nhh5OedoH9jtdjudjuM4/X7/4uJCKVWtViFkT05OwFypfUmV5sGxdaDVm83mJ598sru7K4S4uLgYDAbwrNFiG6FbbD6o3FKpVK1WYSMPh8PxeIz2CbPZrF6v37lzp91uCyFGo9He3t76+jqa/yC6DwVOMqh+wzBKpVK5XM7lcuPxWGVYbHE4Pc8bjYaUEqXkaDScTMaGwW3bCgKfUtJo1FdWljlnEPHz+cyyTJ2sgDNBUgLg4+Pji4uLJEmazSaIKXu93uXlZS6XQ7sh27b39/fb7TaCcZPJZDQagY6zUqmAxDeLWGRpM3eaIpyw9Kurq/fv36/X64PB4PT0NAh8IRLTNAqFfLFYME0jSeIoCpWS8/ms3+/1+71O5/Lw8OD09GQyGS8vt5eX29VqxbJMKUUcR3AhHceuVMqNRr1SKUMiM0aFSLBvEUiBq4h+TVhuuDXff//9s2fPzs7OwFWqlOp2u0hnA+9xfHw8mUwopWALjaJobW2t1WpNJpPBYBCGoWEQ7YSStJ8S3joIAkqp4zggikaDz++//34wGDx//nw6nZZKpVqt1uv1EPHHBi4Wi4i3TCaT58+fg6J0Op0+ffr06OgojuPnz59jSzcajbW1tWaziTivjgIJoXQ4FemBXq8HP4kQcnp6enV1JaV8+fLlcDjUzUGn02kURcPhEAeEENLtdg8ODobDIU7r0dHR2dmZ7/sIkh4fHx8fH3ueh/gbbgsTDWGTD0sqds0uy4qwa+7thy/5HjzmNYtVZQpscRJg2Ge3rI74GoZRLBaFEH/xF39RrVbROhkhlfF4nM87juOMRiMgzhAbQjRXs73CMu33+67rQlDW6kVC42LJITSuVPNhNGNcjCc9zx8vtaqMiyiemxZRJLIdVijalmVMp2Mh4mIxT6kKAk+ImBBJiDQMZttmsZiXMnn8+OEf/vDlZDJijJRKhTgOR6OB69rFoul5s37/ilLV7V5+880fzs9PG41arVZhjFSrZcc1ev1LyoRtm65rg8bw5cuXZ2fnp6dnhwcn04lXrTQK+XIUqjCQjpMzDMu2bdt2kfVijAEqYTu8XMkXS06jWW40y9yQpkV2dnbu3r3baDSUUktLS6PRCFmm1dXVTz/9tFKpDIdD5A3QSowbolrL1+qFQtEplXOlUqFUKtTr9UKhuLmx43uRkkbgi+HAE4lhWwVGLW8ezWchUQajlpK8UW//9Cc/d53i2Wnn+ycv+r3x9tY+UcZye319bbuQLxPF53NvOp3N5/MkiSzLKJUKtm3WapXbt/fv37/f7V4RQonijJqm4TJqUWImMYlCyZltcGc+C0+OL05PLre39i0zJwXbWN9p1NvPn70GeTDa8DYajZWVFc45pLZhGJ1O59GjR2dnZywlmkxiqqRBlEmJoSRTkjFqcm4kiXDd3NJSC40nf/rTn25ubuKUon8RdFupVLp79+5nn30GCCQh5Pj4OEmSr7/++uDgoF6vt1qtQqHoOK5l2VIqISQhNIlVEquN9e17dz+Zz6JKuRFHZDYNGbWlMKQwolBKQUzDVkp53tzzpkkShqGXJCHnrFgsoIk59DR0FTywMAzRvgntNDD4Vqt1586dTz/91HEcxgxKObCP+byLsA8hkjFCaGLZrFor2A6zbLq80mi1a8vL7a2tzZOTY8Pg33337WDQX1tbrVYra2ur5XJpaanpuk6lUqaUrK2t9vu9k5Ojx48f2rY5HPaVEpZlDIf9fB75PHN9ffUnP/lsd3fbtk2k46QkSSLRfxhRTs75xx8/2NvbaS5Vf/Xrf/bpZ/fX1luNZtnzx/VG6fPPf9pstlZX14vF8nQ6f/r0uRCq1VpeXV1vNJaWltqlUkUp2ulc5fPFlZU1x7EJUTs72x9//NG//tf/qlDIVyqV3d3dTz75ZGVlxfdCbx4ksZxNPSmI6+QRqHmfVPxHotgg73LnNQpEpZkZhGDBH47YkO/7juO8fv0aOInxeAyTSkoZxxIWh5GyrmoXHveET4EwCuJK5XLZtp1cLq8Umc3mcRwbhsm5EceJ5/mTyTSOgd6Chxslici5BTjjiE5CiCNaB/gkDuTh4eHZ2dnp6em/+Tf/BolgxlgQBHG8iD3BFUUMBcjnYrEI/4tzzqjuskKRAdjd3W232+trmwAGFIvFYrEshDBNIoQUAqpImumlo6WMcdhxiIvNZvPxeILdirJmzg3HcQeDwatXr8rlcqlUsiybUpbL5YfDETi9p9MpLEeNvInjWCSL3QPRoJTy/dBxLJG2dUX4Ap3UGGNPnjxxXff27ds4vf1+v9Pp5HJOPp/PuYXhcCil5Nz0fX84HC4tLUkp53Mf2Q/LXEAI4ABpzIc2ruEcHB8fVyoVvF2SJLlczvM8RAyhMqvVarlcRoBsb28PbdGePXsGb8M0TcdedLZRbwXTGZqVCyFs2ymXyzDclFK5XA5WWKPRaDQa8/kceKClpSUk2RBZg5GI4EwYRiIDtpdSBkmUdiJTrutGUUwIgaHAGFcLABmJoohQ4jhOkkTAITYajXv37rVaLUIoujAhD4PES7VavX//PuLdk8kEDpnGmepoEl42DEMpOQw6vDhijsPhCJFu27br9XoUxU+fPrNtZz73CoWiZdm27Wxt1ZeWWnEcF4vF8XhsGCalLAwjwzDPz88LhcLW1tbGxgayi/BjdExTvo1NNk0ahkpKiWQEVgpTBxtTA/vQpgnFLOgAmMvlaFo+s76+fn5+HkURUl6e5/X7faAydKoT+9NxHITCkPHH7kJqlFIaxx/ie/2zOeP0Rs0ZeVfiSP9WpQxUOpEihEBaNpfL2bbdbDbRrsA0ze+++w7mIRLWKHWYzWYIjiDtSN9mq4T0AcYCbRJgh/IM7ZWGwiKzgaw3Ep2YTQSeYPzqQKTGzehv1mq1ra2tZrMJh3o6nWK3QV4zxvL5PNrkLi0tFQqFyWQym82klPP5PPAjRhdIFESskyQpl8sHBwfIFSBFM5lM0LZbqUWvNKUWRLNCxEhww8TW02vbNjyOfr+PA4BXwLaYTCaIHtbrdY2egyZgjBmG5bouGidgk9C0WgY9wgzDsCyDc84Y1RoLlo5lWcVicW9vT0qJE14ulw3DGA6HaHMGAAoUpPF2EWqa9DRwKw2q1XkSrSABSzg/P0fTXSzW7u5usVBWkqLXmGPnTMO2LVcKoiRVkq4srz24/3Gt2rg47xwfncJ80yo7a1PguehUjACoYRitVgv9yjnn6BGP7mk0zfbSFN2xtrZWKpUQzZxMJhqpg0QKDPzT01MssXandAwHqwCNhcSOkfLC4GxDssRxfHJyMhgMfN+P4/jp06eDwQB93PQBxI6iaSUP/gqQKZ1jkVK6ro1dijALno7Yi5RyeXkZ0UO45Ch5gjACpA/yFzCPIAiePHmC3Dpan+KY6L2nD5RSSggC4ajS8lBCFucLu1EjfnBsj46Orq6uIAR1mnc2mz179gwpPrwmQi5oqqrjDBgtmnFC7CBNGgQBhCkagXzg+keyLq9FJ8kNlgqIS9/3X716RQiBEwGEBNK+9Xp9Z2cHSiOfz6+trUkpr66uXr58ubW1tbOzo6ONGsOFhVlaWmq324PBAM1pg3DW7XbL5TIMEOTIPM/D8bBt+/z8HF2nK5UKY0wkb6rIdSmIzgDO5/PLy0vAONDDC6IH0gprwFNqOM55vV4vFovn5+dff/01Y+z169dR7GPZptNpvz8EPnFvb//Zs+edToeSR7VazTRNdEatVIpBAEQx4XwB0ob5jETkcDjsdDrj8RjBUMAAzs/PMaR+v+95XrfbLRaL6ATb7XaRfJxOp2gmc35+6fuhUsrzvPFois0ECYLThYRjFEW5nOU4RhQlWpapFDtlmubt27ePj4+XlpYQTvE8r9frQXAbhgHYFkK0vj+H+AYMGyIDBZqmaUn55lRgjRC9WV5e7nQ6V1dXz549Q584pRT6zQIPyzlHScLV1RUieqenp1LKVqtlmuaLFy88zzMMQ4gsiwoDn55SyuBWu93GxD59+iyOIwhBuD69Xg86bDQajUajXC53dHQEmYUXWV9fH41G33//vW3btu0MBgOlFKLDpVJJCDWdTr/99ltKeT6fh6KFlCRkUWauUsSblBL2PnZdr9erVCpSKjTpHI1GgH+ORqOnT5/6vg+zd3l52Uurj9CWfTabUUqh7aRMoHhM02QsFVhEWZaVy+Vs2/E879GjR7PZ7Ojo2HGcL774ArnsFy9e/OEPfwByfn19fXt7mxCCPkXdbrfZbH722Wf9fv/Zs2dSSvSk2tnZ0a1MAY/TmpsxJgT0xALjzNPOoNoVY4zFcZIkMVyKFy9eCCGq1epwOMSuDoLg/Pz8xYsXtVoN9s1kMqlWqwA5ua5LMoU2cAp7vR5yQTpAjN0Fj+QD159TXF6zKOn7UZw3f6VSjMjV1VWSJNvb21tbW2gM7Xne1tYWdo9pms1mE3FlGFOvXr3K5XJoW0jT+lAISoiqZrO5t7d3dHQEaZLLW+vr60tLSxDW7XZbpQVYlUrlzp07WBXcJEkSShYdpmSmiqtSqezt7dVqtVKpBCcdOdB2u40TJdPyxKxSNU1zdXU1DENE4tEhS5FSqVQhhDFm5PP5QqHgOG6xWPqLv/iL4+Pj0WiklFpbW6tWq7Ztz+eeYVgo29I+FFZ9dXW1VC4sLS1hhM3mEsQoci8wGcrlMkDOSP60Wq0gCCaTycrKCgrnoQCq1SrnnCgWBEGhUFpZWWGMw8BZWVmJY+G6rlIiCBawBJmWiutXtiwLzbuxUjiEtVotCAKonHq9noioVCrBgUV+HDfJ5wvLy8swqeI4IanVSQjRcGIYevfu3Ts+PoZkz+Vy9Xody4p8Xb1ehzkMVE0QBEC6XF5eCiG2traWl5ejKOL82glZdBMqFAofffQRghKMsWKxVKlUlpaWIBoKhQLnHGcSSDIpZaFQgBVm2zZSTDCC8vkCHH+kg5MkkYLAWyKEaQuaLEpNLO1vYXqDIByPx7PZDDm0fr8vpeTcEEKMx+MgCNbW1hqNxu3bt0ej0Xg8BqAYagPTAswNvlko5LBxtJKA1SalZJzAhNze3p7P574fIE20tLS0u7vruu7y8jI03GAwsCwLGfY4jtvt9tnZmcaB3rlzBx2P5/P5/v4+2urB28WYWUoWAWGdz7uEEFh8MDKm06lSCvIOrmQcx0EQIvgA7WtZ1sbGRj6fh0fleV6lUpnP55hhAJ4Ql0+SZDAYdLtd/LlpWtAZhBDXdbGUuInjOFH0ocIeetGN3/mL90m6D180AwnSHlb2btnUEEuL8CGtUKWA9CU605dKJdu2+v0BLMpcLgcVDS87iqKLi4u/+Zu/uX///scff1yv13USiTFmWYbvh6ZpWhYbj+fIETPGothDBgnRt8lkAvRspVKBbzWbzXK5HOrS4jgmaoFnArQYu3A4HOKIoongeDweDocIb0EYsUxLLGx6yFzTNKfT6enpqVIK1utkOqxWq7lc7urqajye5HK5VqvFGCsWi6cn54ATNhqNer1kGMTzlE4gygWPgwHrA85RvVEFCn0+nwdBgOGhGgS4gvF4XK/Xa7UazL0oitASC1jLpaWlXq+DpGqtVsvlCpBZeAvbcrvdLudmsVis1SrTqU8pRexSpJWU2oeyLPry5VEul0tdPHZ1NUbuMp/PEyJ932ecmKYxnU47nQtKaaVSq9Vqg8Gwc3lVr9er1ToEt9ZeENmmaSYpHQPiMNBVhmGUy+UkiRDrQAgVZjsE7tLSUpIkl5eXUsp6vY5kCCEGIfLGvpW5nDsajeNkYQ0BY2sYhm1blmWdnJxIKZeWluI4RqJ2dXUVcTd00ARsA4HgZnMJ62gYBvK8SSwppf1+H5NJFtQPZhRFhmFFUWRZBuc0DEPGiefNz89PgYLM5XKmaU8mEykVolLr6+tra2tA9Z+cnCCqXq1WISZgfGjc+3A4bNTbELvw6sAbEMcxsJZB6OE8AimBd0QnZNiGgOwgcgUViFD7y5cvYbUU8iVgUaDOgWoMguDVq1ez2cxxHNSAIOPPOQ+CCO42UL2FQi4IgpOTE7SV39vfUUq9fPkSG7Ver5+dnc7n86WlpXq93u12TdOsVqtSym+//ZYx1mq1XNftdDqMsZ2dnSAInj59Ctze+vq6Uur4+NgwzPX19Waz+fz585Pjs1u3bu3v72uAM8pAsvvhrZ//qcQlSdMINEVdpSE5hdBDmvpQul2Eert5N4oljo6OVldXV1dXEewnadU2FDtCRXCQDcPI5azJdIIkkq5kEBkOGNRmMMYcx4H+4cxM4+ISgU7IQQwMYAW4547j4GeRVtQiU69R95RS1CrgAANgHMUBJgSP0BVgcSTwT3gu+CEMQ8YMmhIm4qE4NnCZc7kcN6i2bZH6QBczmjY/EEIgpkkIAYoAEAoUtAgRJUmi1BvCIUqZYRhKUmD+bdullFoW6fUmtu2aJtdFTVhonhY4irSZogYt6HJj0+RCCKkSKQXCW5VKJQgCx3GSREhBTNMUQuEggfAG4pKmHXTxZUoptodSCh1xhYhRHYQ5R8t1+KEIyUH4Yu8Vi8Uo0gyPMrNvpd5mQbgQl4AuEkKKxSLeDs4gurHjEw1ET1JKjvF4VCyW5vN5sVjEJpRSSrHgDeDchHcC2RHHMSEoqJeMEaWUkAj9BRiM67pSkul0ahgm7LXJZIIIHbYWrHJsP8y8Dh/B5TQNVymF0lK9rwDtxs5MRNRsNgkhSLsD8q1pmQghWA6Ycngc4jmGYRQKBSXpdDqFLY9NhUoHTJc2IDR0KQxjzrltL0q28QiQIVFKc7mcVIkO76LgbTabYa/CW+dp5TFsRkhnFLD5vq+UxN5DuBzMGqhc8jyv3xuWSqVyueR5Pln0Yb3Oepn9+R8vM559vBaXOF0kTWrDMkK+BdovjmPHcZD8opl+oXri9vf3i8UiyrNEWr5NCNHwEdMkQhBEuCmljp1DoQUMTN/3kzhG3HM+n3NmEsWIYmEQx7HQtSg4pci66ARFtVrFcUWfW9hoeDpqFil9I7lwVnFKNa1ZGIaEgC9XMWpwgyqlojAqlXKULES/yvTGkFKGIcqfXf3KIi0BxClNEqJDB4kpk1gW8iXIF4Ob3OLj8TgMYtfJ+76PBIiStFSscM4n46llc0JoasSJJBFKKSUp7h/HgpAQtUBJkhSLhq7KgFMJXRLHi0Jd2OCu6+jgEYyUJGFSJowT6BsEUubzOQg4bMuOYxFFIX+b9lGHUNMkZgzNhyy2bbPJJIbhwxixbR5FURQlts0JYbbtYH6EUK7rYGxRlIDDkBACjlGlQEzFUHzNGFOShnFMqY/Ti/OfJAkqxBF56HQ6QO1At8EMJITAqCQpd4FImcRsy4J60yBHLBDekS2oAheBS9M0K5USyvjiOObcLJfLjuOimgUJDSkl1AZSwCQtJsbOgcjD/jH4gowHX8CUIgBVKOSFyE2nIgoT0zRNwwbeM5dz4khAOkspTcPmnFPCRaKUQZWklHDbcgkhUbhgqwIaVAhRr1fG40X2DPExbZ1gKfN5FwFK2+aepxDahiKkC2gEqVVrSSInkwklnFDZaDSEEPP5PJ/PQxDDNoRjjruhFTshREqhs96U0nK5nCQCPgFqNAghvh8IIWCOGIb1IdnV6b1pEKoyWAq9O/VX9ew7jskYmc1Cx7GTRARBUCjkZ7M5zgxOC5A0yDQhNcw5mc8DKBBtKuqcTApVFVqWXxsSS7lzsjILyFgMTKUwT6Bq9ImCWQFbzzCMOA6zYCNCiLYIcKm3GwMo3bJRSvk2A1BWQOALGvjJU5YdPXWoc9dWElRinNLG0JRBHaIHSjt1bA2lSBAEmPzpdIp0oZnSI6q00hZeqkxZDjHViKCjTg77CXBU+valZ5uyN7QdiylNuUzjODZNG3aTaZqoEQDQzzBYkixSjZhnbWoRQjAqtkCAkTSdIiillC0oM4QQvh9Uq1UlqWHQ4XCWy+WEUGHo53I5ztlsNjdN03Gs+dwXQmCDqQxHL0mRRjrJli0QZimkl6bZJNPkQRAxZtzYb5IsDI03TB+L3UIlDBksHHCOEHOQ++PxGE73bDYDG2aSxNjC2kqA+sH+YczQmWu+oC5l0+m0VCoYBptOp6bFKSWmyZH6cBxnOBxXq9UoirPHEyYFwn/YGABgwPhIyfESQghWU0oJaxRWJ+YHxjJcLp2ahyM/nU5t24Z5gS9ABqF6uFYrR5FAeo2+3cJIB2G1TgUSSNcp4hWw4fFcSC6sFCFvoWuUUobJkrTcjmZ4IfQPRlqijnMUhik3h2HAiDZNczabL5Q3NbBD4Inm83kpCWS6ypAJ6CTEW80n6Nvl7vpnlrYZwV9Opx5P6QVJyqECcwPP0HIHXgyCtUotWD9JSlDKMqzRScr9w94uiL5mFas0saBFFTxi3DndcETnDbRtgrnGLr92W5lC3LGh9d3w+nHK7YhFwnOxxSEXQBGGhYfrB/sCmwAyEUoPSwK8NOfcMGDO6LEwxphhAHP+hhZEpPTaC2fK4rZtck6jOFBKGXxRoIlHayErpYSBnm5fqmdeL6s+wG/JC7noTCuFVIpQyrmxCFlAdtOUSQTAkXSWRFY+srSlR1YvYhNzbhLClRKU8oz/S5QiC4oNL3ScHE6pTCl5SBpjASxO7z2ZMuvgkMA1w7N4hvAcxnJWKyiFFklEYQj0TbBIKQbqRkgwkqpMyMRELHgn4eqKtG84RDNPqfywZKmkXuTl1JvCjcVyZAVK+smih+10OkdJexxHUbRQilEU1Wo1rBpwxPqe+vRhtsGo5roukAzaYzUtDixkoZgDCQjUMKK9RlolLIRIEsnYAjeOzyHIYIVBfGONxuOZSolashZPdo8hzAUVDuNRKWXbtufPKKXgH1AZXO01swkHBMQZ6RwuUH36dGTNJm3iZGUCloPSN6E2mWkyKISYzWa27ZKMbrsmhd6Iy6wsf9+llJpMJufn5yhtBucV5zxJBDiKaYYrH8qEc8JTlnKWFu3pk6BfRp8ubZFdG4lMgWna09RbkPM3TcGykSMtjmVKKRpFEXZAumU1OZuUkuAv2IIO7w1lt547mmKJ9CNIykGtMlxq75zDfr8Pn52nDO14dD5fVgqsvQsWD0qplLHei1m17PkLHAmgM4wxxokUb5r/wQJmjCrF01niSpEkUYZhMWZQqqQkjBksk1jH2qZcLDJrtcFUUUpBmicJxCL3PA+oYKRT4rRuD0f9mq6iGVc6feKiBaaSlLDFDrRtWwoSBIFhWIZhSblYdOgMvkgTg4POzOpyPfNGhipR+yswAxkjYbjgh8ar6fQUIYQSmpWYhHBKwUQHMfGmOS1RTCB5Qo04jinhNqgtBYlEwqihJBVSGtzijCuJ88z13k43km5H8QZxQRaKgfk+qMKDYrE4m0+kFJxTmB0o+p5Op0otFDlLOauUUjogIKWcz+eFQgFCCha3DijrbYxQyXzmI9qIggssdBiGcRylCS6CBnNSEs4RjPbOzy9d161UKozxy8uOaZpgb7smsPThdV0HwQSs3Xg8hqG61GroFYS8w+vIN0xqb2PDFWPUIJQw9M6TSioiiAJUjxJ0eKWUMiVJGMeMK8gf7IooiqRUqNNnCA+n0XZ8J0nZkrTEI5lOM4Z6q+3UWxJTvX3hZTqdzpMnTxzHWV9f16GWKIoIsUgq71XaEkAIMZ16EFU6Q6ePTVYy6itr3mbVlBaRcCu0nIWZDctRG+Q8rdjPxP4YY0QIrt8r63LCuaNpRFXrN1xJhm9KA24Nw0CmHsxmcMF0/BSGEkJCGMaXX36plFpbWwMCAyvkOKbvI35ENTcuhmemzSRk2nBiNp9cXl4+ffr9+vrG5uZmpVKBRCBUaGeHc5NSKQTR6oqlpAmmaXJOk+QNWe9NmU4IYcxQikqpMl2DKNg2casoipAN73a74/H43r17WastG6/Qg2cpzZZSiqiFYKJpTz79t5RSkWa3KGVxnCSxyOUdWCWIfMVxDCdX25X4HAk627alJHEcUEotC527sdeJ78eAsziOI4TinKHbhd7qFJ0y07MppcJWFUJISShdWHBa7uvYFE6a53kqJbKFjJbyDZwuqzZw5tO4IdHzk+J5vYcPH+7t7biu3e12X71+0WjUK5USQCNffvllrzeI47hSqeZyOdd179y502q1dFE5DgKyecjg4dzxlFgrikLbXtDBgIphPBm+enngum61WuXchJ9OM5g8AMJxQDT29re//S04XFBFAjapcrmcz7vX1l0tCAqILjyLomgwGFxeXiZJsryyBJgaRoiQMVFaRF6voxFpXbk+yJg3mmL7tTmFX+VtB9Yb0GxRFEVRnHVhdZiIL+hZ35hiMm0h88a6fOeZIW/ZwG82NNR7v9/Xnp3+v8iUxydJ4jgOpQT7GEjRJKVDT906U+eOWSZQ+Gb7ZiSmUspxHEQ9YM9rywsgR5nyB6PGQGeoVdqfgFLqOHa6covXYWmQQUtD3ArqN5X4sbZuSGpLYvwy06lKu59aZKgU1Iav3bp1y/d9IEmBCWeMVSqVSrlJSJZVxADhNE2508midHHBawkytOXlNp4Fn8I0bQRAzJR3WinFuanJMVNxI7UC10pLve1ekDQeyhcNahj4sWEXpK9JgLmD7NDqUKU2KQ6GSCv/ssopI0wJpVzDwvG3QijbdqWUYKKUUjK24MvRHgliXrh5NrtiGIbruvBmSArSxNhmswUkvt1uNxoNkrYSgiR9e98vpHmSJJy/kXSMcVSbaEtZW2pJplsRy4QdQBpkWoaUSoeeWCaol87EQmdjo/q+/+LFi+Xl1tJS4+jo6NmzZ7b9UaVSQv6dMXZ2dtZut0ulUqVSQXEwwqZ67bD65XIZlRSQd+AWQapKKckYjeNFGhryFG+K7Q3RE8dCKWouSIUp5xzYAHwC4DCC4Kenp0tLS2trayh+VTf6njPGPM+DwMX2y+VygC4heBqGgeO4Mm0tJcWijZLen5RSJOWUWiTNCHmjaUTaQSv7XC1VUOa0SNwpBTGyyMSKBRMz3jF7Cm5ab0TTA5O3jUq9g/WYIFaklCjVBI4UCXtwl8HA0SckjmNCTCj8JEk0jQ0y1KVSqVot+v6iYo+/3Qz+nVKbczoczobDIWMMiWx9IIGpBGPzdDp1HEeH22GDzGazKIrq9TpOtX5Zva6IMGYXAEJHCME5RbUGWA5hSkDfahQhDjClFD9g00spsSewIwEhRBZiMBgcHx/DOkDMyLIseISMMY38EkJpSW0YRj6fr1QquVwO0dLZbIq0tW3bnJko17Nt1zCM+XwOqtzJZMI5heeOSgmATnTELSsr6QIp/cZoknKxcIQQvBTEupTEsqx2uw0wh3aTIUE45/l83kz7dsm0g9VirRkjihCqF5oqxRa2WyzjOEYOtF5vUsJms9l0Nsrn85DXwNITQlBmqtUbSyFK0+mUcxNLPJvN4jgGzfh0On39+vXBwQFy+kApZty9a5tfk+NxIWL9UthvSikQJnqep59eKBTK5dJsNof1DT9jOp1WKpWKVSQZW3vhq4q3+ptm97yGqVmWBdtQpHSNUACu6+7t7a2vbxBCvv76a4BDaKb3DhYXU2RZ1nA4HAwGlFLUd0hJgCGDs48vr62tKaXy+TznBk4ozLogCCxrET3zPA+8sSiF2NzcbDQaEHmmaQLL6bouTeOw+u3wz9lshgwkJhBV2/pr0HaIMHDOOWNpVErbTxS9S3Utv0xZeLS1pBWkkXIe63nDGQdENI4Ta9FpSjJq6PBaahG/1VDzmhln0PeIp2sf6q/lcrlyuTwajVDsBdq7lZUVWJ1CCKTh4A4A8/j06dNXr15ZltVsNlH4vLW1VS4XaaYDnw6pZDdxdjCHh8cAYyulQFBar9ebzeZkMnn27NlgMACwvNfrAfdbKBQ6nQ7gGmg2gvEkaauZjOGwiMqzNFkEZwHVC7VaBdrJcZzNzc2VlRWYeICFQywWi8VGowE+XWC/UZcKWDI6oGEXwg7qdDovXrzA3trZXuBRoHiFWpR1s5TGimo3Nm34YxgGaCmkVLVaDQXIFxcXz5+/BCuo74eoAnr+/LlS4rPPPnMc5+rqajAY3Llzp1wuJ2kzmay8SPe31FbS1VX/9evXk8nISltyonAF5A6DQS8M/VKpgnIONE2UUiKkpfmVjbQmCluQEpmeI6bx4QrIEkl83z87u3j16uD+/fuVcvX09PTk9HB/f79cLs/nc5jkKFTVQEWlFDjcRqPRwcHBeDwFxKff78dxfP/+/aWlpclkcnR09OLFC5S32rbNOUkSjR96q+GAkgtpjp1wdXWFjQ2lXq2W19fXgcQGFp0Qsr6+vr6+3u/3j46OJpMJ6pcuLy+3trb2b+1Y1gLHg3NOKQV4llJKyEKM8hRlzDnf2dkBhhREf7Ztw/YZjUadTqdSqbRarWq1ip2ms4uo24miSJPw7+zsEEJA/rK6utpsNufz+dHRIWOsXq8fHh5ubGwSQq6urijhe3t70DTT6bTXGzDG4MvXahWw556enn7//fdgBXNdd2Njo1wuw5BaXV3d3NxMRSfXOzbrzFppG0jMw3g8xiKWynnf94+Pjw3DIIQmSZLL5VwnTyn6GMMMZxA/2nQjaY8TVIIOBgOZQnFXV1eBCe12u5PJxHYMqHbDMHq93vn5OSG0WCx2u10pZalYQUEgSd1NHX7N6lEtAN9qPpH1hbVboVK/GFKcEAI5rSk5DcNAdRQakqB02vf9SqWysrLS7/f/8Ic//O53v6vVamCcxk1WVlZkmrdSaUtPI0O4cE1ofvPNN9hSYRheXl5GUXT37t16vT4cDp8+ffr69etWq4WKNBgU7Xb79PQUYBdAtVHBlvUR8HYsLehmaWoI9AcPHz48PDxcWWmTRZNehxCCk3B+fg7iv16v9+rVq2q1+otf/MKyrG63e3x8jNRhr9fzPK9er9+9e3dra+s3v/kNIWR7e3t1dVXnu13XNQzLsizbpkqROGZSoU0Y1VtNI73RExW14dPptN/vc86hpWdz7+Dg4KuvvrIsa3V1VUqyurpqWdajR4+iKNjc3KxWq+fn551OB8EmmNLkbU9cOzJYcRRNfffdd71eL5dzdnZ2nj9/jooxUIc9efJECPHrX/8LbM3j4+PpdApFVavVYGvAwNHaWz+Rvt21nBLOOZNUhmF4cnLy8OHDSqVCFD09PdUvZRgGypMKhQLIQSzLQo4Cxvt0On38+PHz5y+bzSa+I4RAo4jxeDwYDK6ursbjcZqtTvf5QnCra0cAug1cma9fvwZO2zCMnZ2tXC43n8+Pj49930cxuFIKvFlff/11v9/f2NhAaUoQBK12o1gsAW8vUpgaIlGUUqUylothMMZQoYs+i/v7+3fv3fZ9zzAYSAuPjo62t3fhTg4GA/2CnuednJygHBND2tnZQcuAFy9eXF5eolSs3+//3d/9HZiDv/zyS9/3c7n88fFxt9Pb3d31PA8Uwv3+EOd9Mpns7GxB1p+fn4OfARQqkDJJkriukyTJ/v62UsT3o2ygX2by/sViHj1E4f28evXq22+/5ZwvterD4fDRo0eApoD/qVFfglt284LAhdSK43gwGLx+/RpaKgxDVMHiTb///vuzs7Mw8ur1Oqr+nj59+uzZM0pZoVAACH91ZR34ISPt1psdufbAtLh8B9+lFija9NOfc85LZbvXP+tenbx4+cjNsbv3dpZXatNZL05ml50jwxS1en486f6vv/7/SuUPhhf5grW23pp7o/1bW599/uCLn31qO+y7h1/NvRFliWkRQuNE+ITGlCVCBkJ6jMeURVL5lEWGKRIx7w/OXx98Pxxd7u6tffGzj//lv/rFYHjx6PFXGINUfnOp9MXPPv5X//qXf/Vv/vmr10+Go0s/GM29wavXT6q13D//Fz978NF+IuZ+MCI0USSWKqJMMC4pE0KGUewZJuGG8oOpH0wbzUqx5Hr+pFIt/OKXP/uLf/nrn37x2cXl6cXl6WB49ejxt8+eP2kvN7e213/9z3+xtb3u+dO//+3fdq8ufvu7v+tenVVrhV/+6ouf/+InK6vN8aR3cPiccWFahLKEcVGu5D797H6p7D746PbySsO0Y8uRioq5P/HDITcS2yGURZQllCWKJIkIo9iP40hKQSlxHAcbt1Kp/PKXv2w2G9PpxHHNaq1UqxfzBevjT+7+x//jrz759M7W9vLHn9x2c6btcNOihULuJz/5rFwupixHRClKCCOKE8WloCIhSUxt2wBEdD6ft1pNzqkQcavV/PjjB/+v//f/s1It9AeXQTgtld3+oFutlfr9q+l0/Jvf/K1tmysrbcexXr9++fDht53OhZSJEPF8PkWvtCSJhIgJFYokQsT4b6G0iDBMloiwWMpt76w1mvlETJkRLLULlk0fP/mGGzIRvu2w/VtbUoXrG+31jfb2zlp7uf702cPxpDebD22Htdo105IPPtr/13/5q3/1r38ZJ7Onz77tD85LZXtzq61IcPfeztp6s71cnXvTOJmZllQkViRWJCFUECook5QllArDIIYpLy5Pjo5fnV8cF0tuIoKDw+eTaf/lq++fv3g8mw8r1XxzqRIn3tNnDxWJ3JyBT379z//Z//3/8R83Npd7/YvDwyP4W8irIDYVJyGhklBJmeCGYlxKFQkZShUpEjouUySOk1AqtAUmvh8Nh5PLy6tOp2cYZr8/ODg4EEL8+3//7/+P/9tf5QvG8xcPn794WKm6v/r1z+7d36/Vi+hPKqWYz2e7uzubm5v5fB4+9enpqeM4P/3pT2/fvu04dhSFxVJOkcQw1W9/9zcvXj7J5fntO1u//udfxMkMkS7kDAqFAlI6iPBA5QdB2G63Z7MgDAF05YSwtGm8YRiLPqlRlExnY8s28gWXMhVG/mg8mHuT8aR/cPjC8ydLrdrnn3/6+eefFAp5xpWQkVQRoQmlilJBSCJlJEQoVWyYNBEhoUKq+LuHX//9b/9WyGh3b8vzpw8fffPq9fNvvv3q2fMniQg/+/xj2NHfffcdJNj5+bnve/V67cGD+5PJ+H/99X8/PHplO4YiSRT7hAr0tgOhLTawUoIxopRQSrw31ZON8WVt4E53hMZGv/3tb//dv/t3MOUIIdVq9e7du3BI0YXm/Pz8Zz/7mRAKwSz4wigj0yicbFYkK8W1gCZpFHU0GoF7HIQR7XZ7PB7DDGGMgYXQMIxisQhcruu6tVrt9evX33zzzcuXL+/fv5/6dMFbds3bTYp0lFZH5Rnj1WqNEJrPFyhl87k3Hk+m01kcJ6ZpCSGr1dpwOLq66s1m8yAIOSfI3tbr9VKphJANqPo452DhxdzCwwXcF2UJiL/AbUd1Ctw3rb0IIb4f+H5ACLEsu9Vqt9tt1815nmeaVqFQdF13dXVtaWlpNpsRQqvVWhiGjx8/LpfLnJkg4+FcE4bfpO+TSULjlE+MUieXyxXBtVkuCxlblmWaFoJ3sEZB2CWEgA2IC7x5CDGjxhHjdxwnDGPyJlrHUvQS8X0/SYRpmpVKZXl5FUFqznm73R6NRq9evUJSG45hv99Hqg31nUhlyLS7GVrFGSlbOJ4OuiNk1VEGnnqL/MYkLML/YRQh4b62tvb5558zxrrdTi7ncM41rQFeEyhxBMtQK5LFjcLswMpmcSrXdrvKANf0JqRphhpFve12GxT3eKJlWZRFiE66rttoLEkpp9MpZ2a5XPb9ECEmx3HBBYNZRZyxVqtZljWZTEzTXFlZIYRcXl6Ox+NGo7GxsVEqleArQFASQgaDQaFQAAs6pYt4UTZGqVLkwLXXgUNtmiYQo4iGofoWMdDZbPbixYuv//Btt9O7e/fuyspaPp8HB+g1UUAIsyybEIr/ptNZp9OdTmcrK6vLyyuffvpZv993HBeUnblcrl5vJIlwHLder3Nu7O7uffnlV8ViaXsbYYqj6XTm+8F0OjNNkxAqhGRUZh53HYD544ogKV1gr5B1PTg4KhRKtVrDdd0kkf3+sFyWUsooSsIwBk+ybTuEUMdxTdMyTYtzg1ImhOTc4NxgDJW5C1SQlJIgEaAkIQsUi1JUKVouVxkz5nPfspwkSVw3z5hRrzddN29ZDiHEcXL5fHE+9z0vADNTq7V869adq6uro6Mj23ZbreVisUwUA3qDpP7gAnYoqVKKEk4pBbaLUQPFy8ViEY2QkMJC0mM6nYKcBqkebP0wDA2DC6EKhZJlOY6TM02bczMIojCMK5V8sVg2DGs8nkZREgSRlMQ0LSSODGNRZCml4twgBNlYmiSCEIq5EkLqOOZwOHzx4gUIHZK0YxQ4u1B9gY4lt27dQnOo27fu1ut1wzCSZMFCki6qIoq+vcQgJTSiSBqGYVkGHJYg9PB0M+1IhagCOhIji1IoFKADSMokJFNsEEqGUWtICEkDl5QQSRQLg5BQ6br5SqWK2MXVVX9jY2Nvb//x48evXx9sbGw0m0u27URRdHnZyeVypVIJ2ykIQs4N2zZs27EsO5fLO45rGCZoa5UimE/TtBzHFUJ6nl+r1RiLETDNHm+VpnqKxcLcm9G0AAYihvNFVMT3Q84552a93qxUakA44lwUi8VqtS6EsG13MplFYUIUMw07UFEYxFhcRhc0AuQtcYndyFHzQynl3KCUikRJQS7OOxfnnXKpurW5g3ZDtm0HQZDI+fHxab8/rFarpVKpc3l1edEtlUrVan0+n4/HE9O0isViqVSaTubdTi+Xyy8ttRzHtW2HEHJ+fqGUWllZVYqcnZ2PRuPl5RVQ/x4eHgVBWKsuoKxnZ2f7+/vLy8uU0iR5g6zMeq8y7eF+8/I8L5d3kK9jKZHCdBqEQbzUbN+7++Do6Kjb7c1mX0lJ9vb2URcLRBGlVJOukhTzwBat3xb9ew3DuHv3Lqyxo6Mj8N1xznd3d7WYBrpAKYX49crKCpoMqhRBodRb73XzLd5LD6zxMTorAkUNSp5isfiXf/mXZ2dnL1++PDk5CcNwNpv9/ve/7/V6CAQUi0V0gJOCgAE3DOIoTESiiGJSEG8eYCcxaqBMmxLOmXkttqrDi9CEvV5PI0gajcadO3dQiIZ0JDA6ILBAS7zNzc3PPvus0WgMBoNOp3OtFwfNXDjwOq2vZxBWDCiIUMNTKpWKxeLZ2RkY99Cfb39/HywpQRCgew/IjUjKkg0TzLZtIJ+QQ+j1esPhECYATZEoKOLUIGodMsY/S6XS0tLS1tZWLpc7ODh49uxZEASlUgn9iAzDQOgQIa18Pl+tVtEmAcasUorSBfj8TYqDKg3SNgyw43CWdjSCIEacPvXLBMDPoFdAwx+kU7rdLhIOUsrLy8vvv//+4OAADBc0rUlNL32uGDAituUa3OKcLy21hJCj0VhKtbGxsbS0JIQAMDCKon6//+LFC7DUgDcBfYFgyZLUzCGE6Fpp6DxsXVDbavmYNR+0xFRKjccL/k1gKsEG5nkeUnxxHHe73ZcvX56fnyPkh72BXGWUts8VQqSF3kynMXkGsZ/NFpAMuE2vO3KDoI/q9XpaFRFCLMtMksQyncCPhoPxZDzr94ZHRyenp+eeFxiGGQTh4eGhadiuk09iyTnv9/u6tREcssFgoOvWQK+HhUb3G0ppvV5Hl5tut2vbNujZgf+jmQyyvjQ2ZrG0QBik9BwALaEjOXRMpVKr15u3b9/97LOflMvlo6Pj09Mz13UhE8giF/eWDauxgKZplkol27Z1A2EpJYigcHzwiZV2oxmPx0CwwD2CH6xhD3qfZzeGfi5+eK91yTJAzWx8M44TwzDX1zc+/fSz8/MLz/MvLzv1emM8noxG4+FwVK83giCMorjfH5RKZUoMIQQStXDHwFsxHA7xwtAzKi3OoYtUA2yoRTcFy7KbzaV+v390dBxFKGSk5XKlUChOpzNCkCdJlCKmabXby4Zhep4PBEy5XK7XG0qpYrHkOK4UjNywsZVSlAJyj8o5aZp2pVJDCRAcqEajUa1WC4XC2toaIeTo6Oj169dgQkO/8maz+eDBgzAMx+PJ48dPYMctLbWq1Soh1HVznuf3ev1qtWZZdqVSjaJ4OBxJQVutVs61UCiJpVVSEsVAXkAJx9bhzLRMx7Ztx3EAijo/P3/16lWtVmu328jAwIgDtgNzu7KycnBwYJkOaIY1Y0j66hmXnOLEEkqVaVpyQRBnIb6BQ4JFTJKEEIoMBiAghULh5OTk4OAAGdharXb79u3z8/OHDx8CZIckG6VUAxtTQbkYhmU5tm0rJeNIFAvl1ZX1fG5UrzWrlfr62mYSy+X2aqVci+NYJApzoiR17Fyt2khiOR5NHcchiuVzRUp4FCamYddrzXKpYpmOZTrNRqtSrvWuBpbplEol3wuTJFEW1TXj1y7HcVxmr66unp6enp+ff/XVV7Zt+763v3+rVCq5bu709Ozx4ye9Xr9Wq+Xz+Z/97Ge5XN6ybN8Put2rYrHoujnTtKQkUZRISVBuTwhJoU4sdWx0VRUhRFHKIS0JIZA5UhIpSblcbTSWlpeXHScnpVQKIH84aibn5mzmXV52p9OZaVqum2OMOXZuOBgj7TaZLGrwN9a3qpW6FMTgFmdmzi0U8iX4UtVKfW01si13PJrOZp5lOpsbTTj+OJ569VXaPVwnkbPi7H0iBYBry7IYo3KBmS0dH5/Avmm3lz/55FORECXp2enFzs6OZj+5tlt4yq7gOM7a2hpALF9++SW6RgMrQgg5OTn57W9/C6GMxr8HBwewIZAsRe8GWCcI3XDOvXmQ9cSvvdF7xaXItHgmqfRUSkVhsruzL4SghP/lv/43r169sm1bSVrIl27t3wn86PKiC5dhNJyoTUoIazSWPvnks83NzaWldj5f3N2dV6v11KbglHKMilJOKSMKOQhKiJKCKEUMbrkO/w///j+en58DquI4zj/72Xqz2bQs6/j4+Nb+nSRJHDtHFGu3Vn7x81/l3EKxULTMcDwex5FYXVlvtVpra2uUcErfWPWZFwRCkGg4Xj5fXF1dr9cDmpLvfv7552tra6ZpAm+IUDchZHl5GV0lCCE7OzuOnet0OiJRlKj1tc1WqwW58/lnP+10OrCsK+XavbsPoiiyTJtSblmOZZkpBxNF/o0xdH1QpmnjzHBuFgqlzz77jFLaaDSSJKnVakqpZrOZy+XW19dN05zNZqBuxbaIoqhUKt2+dRdRJx1Ni+Mw6xRnt2McJ1rH2rYNYECz2eScG9xqtVok7W2yvb0NQxto0IODg9FohP7msG3hoKCfAWoZlVKcvQmDqMyjUwiXAGPuvXsP5vN5s9l0nNzy8qphWO32iuvmOY8aDf7JJ59xznO5guM4n3zyWZIkhmHZtvvgwceU8mq1bllOvd7c37+dy+XK5Woul1tdXb9//yNIFsfJJYnUU613As1URsRxnMs7W1tblFJ0jygWi5QSonir1fI8b6nZRhdWlB5QwmvVRmtpeTAYxJFQkraWlsMgrlbrlHIhCGMGcO+UMikJwlCZkwmdTdLiBqYPnWnati13dvYsy6lWq5YF4WVISSzL4YZotdp37twNw7BYqLhbhWqlvrKyks8V7aq9tNReWVmpVuuQBaurq8vLq/l8QUrJuWma9u7ufj6fd928YVjLy6v5fBGer227+/u3G40GgEqGYezv74MiQBfAyEz9G8tAxLNyQ8cugyAwTIZT0+1eDYdDx3Fc13Hs3HQyPz87Pzk+i+N4bW1td3d/ZWUto8aYtsUJIUIk+um5XG5vby+KoqOjI6BlqtXq5uYm9ie49C3LQmU9kIXwmR49egRNzxgLw7Df78OTdhwHDu41QUl1huPyKrkmQTNhxDf/1D+DkhNnqVgs6nbvlUrl5cuXYGSp1WrgFl1ZWYGLRCkFVThy//CdkfyBb6IfmnVPZKaeEi6PjpWAnQm+PyHE9304m4gtwj+1bbvX68EgbzQapml6nocSev0IbXsDWgwvWCkVx3G/31dKOe4iMoIyBkA34KABdAlINknhuAZ3ECsUQjQajXK5OJnMENMB9Ec3yUAsz7bdYrFomjwMFwSRGtqd1VLaAZl7Q9DMcM5HoxEhBKafRrShXwpSsScnJ53LK9d1V1ZWQOjN0hLjVB1ej8YgAmtZC7YkLDfIGuDJRnHQbDaBYkPpNPxcYHoABYNti0Ia7Gk4wqZpcuaQa07om5rIBUFOnDYyhTsC7jLEiBEJBcoH4XxUjiHJUy67L14cgeDLdd1er6cx80mSDAaD6XQKgY4V55xLeZM9O6U1UwneizGG8gdCVBSqUqlEKR2NRihxAVkfHP/T01O0OUOP0slkkssVWq0Wz9TzWJYZBKGRNjzI7kaSIU9QaQ2FzhHpFvY6j8Q5t20+HA7RI8RxcghbQ8YVCgVATV3XhUkbBAGgYIZhWJY5m80nkwnKTIDuBGqCpKQtuVxOiFgpNZlMrq6ukL3ELtJ5SJUyeF0TF5lowwJOpIgolfJBEPd6PWB1TdNo1JdN0wR5EvY/9LplWdicWX9fKRUnc81NhxgCmNJFyhnabrfxWxAqIzBYr9fB2nl0dATJ4DhOp9Ppdrubm5u7u7tqwSTCAz++ZiBjFf6IuHyfUa3LpKpV9/S0B6GJkwCAruuyTmeEY4/yAMZYLueGYaRDM7ZtTiYzraY454xRIUCA9mZ8uqLOts04FqijchxrPJ4ivksIwR7yfR+ybDab1Wo1BMsqlfxoNNd8ZZBoyAtlo1S4eEqSmnpMHAEpwyC6msVxnPl8js6CoDAYj8fQXb7vF4vF2WwWxwKbFdWfnHMgNAEeBl59Op2ibJxSyrkRRbEuPNDbTqSlrwhWpKg0W6kYoTHtLCNRi20B5g7MPHJBw+Fwf39/e3sbmwyFaJCt71xfQNChhAuFAqrHsOKI/IKXIZfLIXwJBx9qxkhbkjmOjUabqC1BMgroyCi8Hq0jZBEHQHi3UimPxxP0GIhS2lptyxBCTNN0HBaGKgiCXM5VioA6DIRPwCoD8ap56iACymXz9HQA1EQQBNCjlN7c55IQ4jj2aDxEwLFaLU8mM855HEeUWCpD0oNDjmUqFp3x2APgRkqJtTAMy3GsIIj0sbJtKwwXhMfXHqy3Ik1xwTTD56JBwdj50BacU8/zNJMh3h2PLhbLWDJs3W63u7a2Op97lFLM22g00vTS2tSAr+p5XqFQEEKAyBkvBW4trbQ0llYDITVY+O3/L8Danj9DLxnw/DPGfN+TYsGDpzUK5yYOF3nboEn/H5spPzROBHI+8/kcJXOwbCqVisiUxlJKe73e6urKxcVluVxeMH9zjv4c8OJlWlSdfagOX74lLrM7WP98czkJIbMZ+l2Q+TzSEW6dFqhWi0qRyWSuGSIopY7DptMQJhtMs1zOjCIFEx1GNU2r95O3aTK0nWWkNOOmSYUg2HD5PJ/NEkiffN6azyOlVC5nU0qCACd0QefD0hpz1J6rlJY4SVtKGQYbDsfVatnzAuQcYeVZ1qJuUldGy7c5EHHpae33xzBekpRuEgVOOo5OM11MbdtWkkD8QcFo5BDOlZRvSOcIIZbFExFpgY5ki0ypgLRVgmOM6IwQAm3RWFo6pf0mCHTTNCaTqZQSGwVWhkx5PdI5N3EC9dZRKfwYsypStgsjpZOxLHMymeJDCDJrwYnL8ZowJB3HVopA4EbhotxQ30RmChm0FaOVR3aTaOFiphSfpmkkiYCqg3RQGapA1GhKKQl9w/OSrmla6k4EcgKMMcexgyDknMURw16KU55WDEml6VC2IDxlSi1gTJZlmSaTEh2PF14CBlwqudNpYC+6/prjsQdfQb7d/ggXWIRhgmGDaTmlv4w9j0foLYEfEH020iJRLZ7UopqF4/SLtA0y1p0yCWFKKUWuGSPHhCB1oykIsgMmb9gYCP42TkLGGMrbobBd1wn8RYEsz5CTkZRW0bIMaBc8CMpME00kKesj5C/mRA8+m33RkpelbBpJ2j8OrowuhWRpvbme26z0fKuKhr5dUfNOAxNEUknCczmrWLSiiCSJSP0CO0mITNnSsCpCxEnCTdMghJRKjhBESjIcTuBn5XIOpdQwaBxLIWKlgKsi+gyQFNqi3tBoLypPkyTxfWaaRqNRNQwynUbj8bhQKChFZjPftu1czmGMCEHieAFncRxTCDC/iiTDWWuabDyeJUmysHXSDgdCCEp5VlvqgRkpa1Z2Ngkhy8tNKYnvh1gD2zaAukC8XCwYA0kcL8CnlCyWxzAMxgghiy0uJdoPLFYOg0kSFicLwmPLMpQiYci1eNWeOzalbdsoU0u9TpmNeJgWt2xDERHFwrIXKIgwDKezMYSmbVtxHCeB1K+PK7P5aJJIzhd9UDnnlBIkzXHA8Fytd3GSy2WHEBJFi4RpFMWo9OCcWrYphZGVyNd2YFbhO46dfvimsIIQgmCAECJJBKUUhpgQcjKZgMTMyNCLkBQCzDKFXoQsVBplHGOWUoI3gHPm2OWsJGKMJMmCGCKtrVRgAEENKCJXQRDLNC1umiZjhFLieaEQC3IwIYQQC4cMT9crhRVESpekXDZ6IbTsEGmlKR4KUYJWxELQ1JWhuZwRRca11LYQIp/nvr/gx3NdxzCIlEQIEicRyZiNenXQX0+rVZWGzrTLmDksyWJHOaZMu9RBPKGIM4651hBqQQGVGIZhmqDQTpRS6Mg2mwUIE+m3hpEB50abNSRDE4PdpbeiHipLS/i0GKVpf91rW07vOoJUzwck5k25iZrKIAiCQEd/JCypfN6KYyKEcF1LKRJFiWUZQnBY2jCvkiRxHFO7kyot3MZ8acpxLfV1MTxPm20SQjhf8FoKIYQgjrN4C0R2HIdI6YJ13EhpTUmmhw/ONknrlCilcSxTohCiSdjUwvinaQyFgtAsY11RQtTbGkjFsQLm3FgQNS6QKPDZU0JZOzVpjTiOGaecc8aJUkQRSSihjCophWSJSAglhkml5IQqxilJmJQqihIwcqam5YJfhxCC3ckYtyzLshzDoFG0YLE1U3oxQqXnebrLkGWZSrEwjLDJMBXobeu6rm3YqL8En7ZhWCqTEkX6Qus2lVI0oTeASil7sUkopeOxh01smqZt8zBMpEzy+VwYorxHSak0FpIxRhmhlCipFGq5CcU8xEmcVajaZPYDoe0sbf1JKXN510ypnYUUhHLLtDgnyZyQTABKKUXp4p9m2rhJKYX+MIAbwGwUKcsB58xxHADFoRRlWivsuiwMF2Firczg3EAbkTQwLYSIogQ/APykxWWqit6Qv5iZ1gNKEtM0uUGSRGpycqjF1Eh6U3lBiByN57pKwrIsxim+PZ4EjDHD5EqpMArjBZqeUUo1n5t+NUy8etsBXcy/718zzeCMh2Fo2QYUDyEE94yikFFH54sQ+yLElHJRhBrHC1rYKKJKqdlsUiiUsC/S6ASABxKUphACJA3sIHWW5vRQoS9B20EpTfcOUs0LpIGum7hmOGIajZtSUv/8Tt0+n08ZY/3+1eHhoVIKOAPUBqDrbJJEjJlxLJUShmEAhxwE3mw2Ozh4hVoIxqhpWpyzKIqUEoZhArJjWYYQyjC4EEJKyhizbS4lESJGIR1mX0pCqTIMhgjjeOwj1m6axSSJZzNmmobr2hgMpdSyjNT1llImpslNc5GRp5TE8RtzQAisLgU/K02pZLOah6fUUiSN2qjMFUWBlEmhUDBNOpl4cHIZyyklbNukFK2sEtPkqFJNee8YPDVtA9I0aEUpVcrUIkkzaZLU2aFpnJe9zWuAryUJ1c4XgdYlC65vx3HiOFJq0edHCIHQKuJfSNxtbW2Jkjg7vUC9R6u1nMtxvYEYY0gFaAGaShCez+cdx0bMBEwryFCFYWjbFqWKEMU54ZwGgQhDsEfzVJrDSGGMkigWWXuTpcyBtm0K8eahNKPEDMNgjOqMEFk0BTMIIaiVx/fjOI6iBQRVZhKbEJf6eOPnq6sr13UtaykIfKrbciglZWIumi+WEYKXUhECmgYRBAtj0HFMwyBKkSgCqlcmScwYYWxRo5HLoS6I5HJ5zhmlRAiVtg9SSRKBX00pRalijEgphIixbQxzwemrzaUwDNQiokXRK00pAS8QHr3+MoJCJIVqmyYXQqF/csrmy1GInaTdN+FMaOVK3vY87LQPlUpzlTzt2qQUR+wOOhXWBmPEsriUIH6MkgQ53qRYzM/nCWPMdhbEvXEcKyIuLy/T5NUifAwRCWvspnlkpS2z9Gi1uyYzxMwZoXe9/0325zfOeEYbvIWouCY6hRDD4fDw8PDo6EgDRE5PT6MoajQaKbcHSXOXMR4P6PLf//3fLy8vx3GMgn+R0sxhxMhoA/+otyNUbpaNLkl5M03TNE0axwuqPowQnFeu6+bzOVB/43PE14QQjJE4DuM4zG4aIZL5fO44DroewwqbzSaGYThOjqdtxWQG8Q9Bpk+vPmwsZfyUkkHTFouFXI53OiPLqhiGAV8V0ZMkSXK5gvZBdGwxKwQppYhgwhgRIubpRdMGQQgOav2fjWOqtIs6IQRnAw3FbNtOkjjt7sKTJIqiyDS5YZi+702nE+RJgU07PT09Ojra29srFErI/EgpDcMyDBanzWz1ggL6Wy6Xo2jRYJJzEoYJeJSlSgyTKSLiOOYhNQzDts0w9AlZpOyTJFEK775o7KUPpBaIdEGXSbXJJlNQC0KlKs3GADMgpVQqhzvAdwO5ehiGlUoxSYSOmDPGUhYcomUl6GMopUIkzcYK8sgsjYajykBnY1Lja1F/FQQeTaECKsXPm6YZRSFjRMoENH2wxKVMpExAIy8yLS6A9FBKYA9ImQAtn8vlpGQ0IknCUpMW/I+Ec6ppRKRKiFrc0yJv3HzoY4ZiSkqROsckT6dTEIndvr1vWRZ4//iiBTRXSqH8VE++XggIrKxIWfiAKUYddM4p0QmdzeaQv2rhaC7WdzafEUIoo1G0qMJMkng8Hv3N//Xb+/fvr6+vA4qAObcsNh6HEMEad2yklKZavWWNjGsWj7aE4vitzrXXxSV5j2mpZaUWnfg8n3dfvnx+enqcyzn7+/uFQuHVq1e9Xnc0GkVRYBhV7DbDYJzT2WxaLOW5YUQxUUS8PnjJOFldW3ZcS4iYUipkLISgbLE7DcMIghAZA85pkiRhmJimWSzm09wZrDy026WckySJwPubNhcllmW4rj3HdFOa9SOUko6Th9SQC1JOAppl3UYOScZerwcQxurqOpAiWkHp5APJxHT0tGKbxnHIOTdNniTJdDoxDEPKJAwDxphlLbqQCxFTSqRMdA9CxohpGjoISNKwA7JbhEhKlY5UpjWFlKW5rOw6qhS/RxadbaSuBOcGxI30/XA+n4NQABLW9/1CwUSmdW9vdzAYIpNeLpeHw6EubJcLmPSbojcdONPhJIhO2OxxvNipvu+7OStJYqWkEAvWiVzeCQNQ7aoMFdMC7YSYWyot0T6IKSWnU4/dSPUQQpJk0fUTlTyuawcBn06naGlHFqWZiNuYjmPC5tJbRa8jwmFW2n4LSIPNzY1CAShxqGHFGFGKYMWVMihFRyBJKaFUcc4AV5BpqZhMS0I1nMtMW0tiDHDUIItxsBHuhOiHRJjP5+iWvry8XChUeNpHj1JFiEUpJURSyqWUigipQJ270EBxHGq9DlvVMBi6H2ODwUCO43Aw6B0dHdTr1awiR3xfhw710mu5STJxQ2PRLWaR1RRyEXMkaQhCSqKUkZoIBC2a0fl5Npvl8znG2GQyESIulUpRREajwe9///vl5eW9vT3dRgGZScDRs7JLLsL9iU6E6g9FpmQuK9xYBi6SlZh6Y7zXGc9unazcHI1Gp6enJycn6+vr1Wq1Vqt1u10tsKfTKQCoxWIxl8uNx+P+oAukqG1bjmPjqEynk8FgUK1WHcdhjAaBP5/Pkba2rRxOXZw2vC+VSq1WSxv82nQihMTxQk9i9rGNlFJojAGuVhQyc85RTz0Y9lCp4rj2dDodDAaEkFKppJQC+AtUqSenRw8ffbu0tATrD4kLdYNVPys0ySJHZFFKUVTu+z7KsyqVCtjeFtFA2wbRRq1W49zU66HNE2DF9WsGQdTv93GQpJTAgSdJAtMP+3I0GgE0brxdbpFui0VzXcMw5t603+/HcYRpmUymV1dX1Wq1VC4kSXJ8fEwpbTQacFdd1y2VSl49MAyDczO1a03OdUNgE2pGZdKOnPPRaAS1NBgMDMMA3+h8Pg9Dv98HKEcMh8N8Pt9qtTFU+IBAJjQajWKxUChYs1lA3nb3VFoAR9Os6Hw+h5lMKS2VSqVSiTE2GAwGgwFWdjgcUkorlQooYDA26EgYm1amrTFayxmGMZtPSqUSAguVSqXb7WrKOKUUSpUQjEMxCUokDcPI5XLQPbPZzHZMRG+LxaJlWb4fjcYTOA0Qx61WS6pkMOwBs2WaZr7gAiQ4GA6SlLTi4vLMsiws/XgyfPb8+yiKwsjf3roNXLBhaEcnTQkwHcdUSSIAmzW4yxgDppIxBgQFSiEhl8E/XalUms0myk+TJOn3+0mSYHfBvdC6Spv8Ws14ngdPIk35RnEc12q1IFx8XigUSqWSZVm+78HQ8bxFAwnHXTTv5JwNh0MpEwRzHNeKE7NULnDO4Yyjt5r2dbDiWFaUn2qrX5vqWTOCpnE2LeLJgkPvus2R/eFNVc81iXlNymoZ+uzZs+PjY3D5bW1t6V5diIuPRiM46Zubm61W6+rq6ptvv2o2m7/61a/y+fzq6ioE7mg0+uabbx48eHD79m30dD88PLy6uqKUfvrJT7BpRqPR8+fPz8/PK5XKzs7Op59+qtIElnYtAaaFeiGEdDqd//W//tdsNvvkk09+8pOfnJ2dXV1d4bmWZYG4sNfvtlqtW7duNZvNq6urZ8+eAVqPGnNUOhaLRdC7JkmyubGLRtiWZUrJdSwmoyFldkJhUl1eXh4cHFxdXc3n86WlpQcPHkgpv/3228PDQ6jBi4sLSunOzs6//Jf/UkqSOvVMKQGfCJGBJBG+H4zH48PDw4uLC6XUeDzd29vb2dnhnF9dXXW7XWzBJEk2Nja2t7drtRpPgUfsTQtPStN869XV1dOnT8/OTm/fvt1qNQ8PDw8ODlZW23t7e4SQ75+8WFlZUUodHx8fHx/fu3cfPFJp8Bfs7m96vuOeGnGJwQdB8PjxY5jAUEh3795dXV2dTqd//X/9N2jKQqEwHk+XlpY++YSWy5WDg4PZ1AOla7lcvXXr1tbWVrFYlBL1ggR9qDQDC+cMCrLb7Z6fn/d6PZyf3d3d27dvE0IeP354eHiYy+UANa/Vavv7+5ubm3EcXlycnZ6eCiFs2/7Zz36O42cYLIoQAkbimwIbr7FowDN+++230K/otTCfz8/Ozi4uLvL5/OXl5XQ6bbfb9+7dazabqDT/w9dfMsaazebW1la1Wh2PxycnJ0D4x3EMKsZer3dxcdHv94vF4kcffQRc0enp6dOnT3u9HqZXKdVoNPb391utFvplQR9LYTSbzXq9Dq+F87SfBxGUwIiRURSNRqPT0+NOp3NyfFkoFFZXV3d2dprNppRyNptMJpPDw0PktVZXV/f39y3LMAwWRcF8Ph8MBr1eLwiCVqtVr9fr9To6KerzSNLIOHbIaDQCowJkUByHURTt7+/7wbzf7wdBsLy8vLu7a5rmcDg4OT6HpWUYRr1eb7Wbrutyzl6/fv369WtC5J07d1bXlqN+EEVRsVg0TTOKopcvX758+VIIsb6+vry8XK/XLy4uzs7OhBBbW1saO2ml3YF0JM1cNJ0mhJAoWnjrb6cl3qpm1Od6cZRk5lKZC6ZBNpoLE/LO3d3mUqVSzf/kpx+3l+uExtyQubwZJ55hqkazzA3ZvTrrDy6FDPIFixByfn6ulAIX+mw2A03GgwcPEIBAY4DpdLq9vb2zszP3Roapvv3uy/OLk+ZS7cFHd49PDr/97uuDgwP441ISFAuijNU0rSiSpVLJcQorK2s7O3uzmUcpDYKgUi1dds7LlYJh0t/+7u9eH7y4c3f//v17nc7lw4ffnZ+fua7z+9//TilZLBY+/vijra3Np0+/f/78mefNLcssFgvNZiOfd6vVMiFyOp0QIk2Tg6gxjsMoCuI4lDLhnJomh7FPmeoPrk7PjkfjwUcf3y+W8o+fPPzm2z+Ekd8fXI3Gg7k3vXP31i9/9XNCZRj5FxcXnPNCIYdATBRFgAojYoWY72QyOTk5mUwmS0tLn332Sb1eVUocHL44OHxRqeY/+vjO/Qe3TIs8fPT1s2ffg0RSCGVw0/ciWBCGYRqGNZ3OpSS16lI+V/bm8fdPXjLquk5FSevyfNyorc8mIueWHbtIiSUFPzvtxpGyrbxp2kkiNcBWKZEkUZJEhYKrJTJP4VnT6fT4+Pjs7Aylmffv3y8UCl9++SWOt23bYKtdX193HOfVq1fffPON73tXV1enZ8dLrcZnn38SBJ7vzwmRhsG4QRMRRXEgZMwNyg2qiJAqSUSkiDg5Pfru4Te1euXuvdubW+u1euXZ8+9PTo9m80kY+U+fPWku1dc3VvMFtz+4evHy2WQ6+va7r18fvCRU3r13e2W1jUhLGIbT6Tz1lE3DMDwvzLmlOFKFfMWxC4GfOHbh7LQbRp6QUavdqNXL3auLi8tTz592ry7ay83Pf/LJ7t7W6dnR3//2b+MkePL9w6ve5UcfPVhebj969PDJk8eDQd8w+LfffnNxcU6I2t7eajYb4/Hoq6++tCzz3r27hUL+N7/5u/l8xhgtl0vz+azb7dTrtXa7ZdtWt9s5PT2hlBQK+eXldrVauXv3zspqY6lVcXOcMkFoEkbzMPINc9FJOI7jJBH9/uDx4ycXF91ms/3pZx/jXHzz7R/OL06PTw4PDl8dHL7CHHa6F4+fPOx0LxIRxUkYJyEcF8Akwdc5nU5Nc4F+FWmmEoICgCchxGg0evr0aafTEUI4jvP06VOQ9cLo/u///b+/evXKMIzpdPo3f/vXG5tr1Vq5e3V5dHxACBkOh9999/Dw8KharW1sbP/d3/32yeMX3jzOuWVvHjNGIMfjOGy1mrZtlkqFKAqSJBoO+6PRIAz9OA6VEpSqJIngUeGCZPR9fzoNRqM50lmArAP1AfeVMYMx+FIm5yb+iaLt93YE5O/grSNKKc7NXK5QrzdbreVKpWaaphBKCJXPF8vlquu6jpMTYhBFCWNGoVAqlUrn5+fgjOn1emEYImy8v78PYgjf98MwfPXqVRAEH3/8sWUZhmE8ffq0XK4uLy8rpZAXAtGRSrvgcs6VSoRAS1gjSRaw8OXl5ZWVlW632263KVOVSqVUKjPG5vP51dXVysqKlMqy7FKpXC5XOOe+HyhFdnZ28/m8YZi5XL5QKOL/hUIRBBlG2rce/ilycNlosdZOhJD5fD6dTmEUo9oE7IFwmSml+Xx+Y2MDlWpgaRRCxLEIwzBbAWmkXeRhsaJy1Pd90H0yxobD4fn5+fJyu1argZsnDM9RD1csWvDFkUYXQihF0hAYAxNoo9FAQACAfM75fD4HOFG/GqxFhN6yPj5N264JIbMxG+SvYFWdnJw8ePBgb28PBvj333//6tWrZrNZKpUcx2k2m61WazAYXV5eopMHISQIgouLC9d17927t7a2FsfxZDJxc7ae3qz3g3gfyJ/u3r27t7dXr9dfvnz55MmTTqej1X+5XF5bW3Mc5/e//z0oQsIw7Ha7wHXVajWSgij1qwkhgmCBjdMxYlQuvH79enWttbOzWq83TNOybSeK+sPhiBC6tNSilE4mU0rZ2dl5p9OdTKZJkmBTtdvLrpsTQipFLMsWQuzs7NZqNaQlNze39vb2CSGdTvfk5NTz/HK5gl6YvV6/2VxaW1u7vLx89eoVOFVN0yoWS3GcNBrNSqUC31NkmHU0TAKOLapRLcsqlUq1Ws1xnMePH3/33Xfb29unp6ez2axYLO7t7XHOd3Z2wGYPTJ4QotvtggQLXeFQijocTt5wpqSup1o0gs7DzAe34fb2NqXq22+/7XQ6H3/yAECaZ8+enZycYA/86le/sm27Xq9/8803X3/99fr6eqvViqJoY2MDxVHgMy6VSiAiCILg6OgIHKNYWbQ5aDQaW1tbQgg0INKmHlw3HeNGNY3OXiDOVi6X4fOxtJngzQt7773i8lrsMnskEPur1WqoVIMgAKWCDgDjm0AV4DCg0et4PJ5Op+Px+NatW1gP9ODt9/u9Xu/hw4ebm5tCqFevDra21Pr6ej5f2NzcGo/HqPzVgRKgPSiVQoi0ECKxLGttbW13d/vbb781DKPeqLbb7Xq9Pp1O4DiXy+UkEQ8ePMDIUWmOAUO6IahE0hoesDdmk11abbC3iVFJGl8LI9/3/aurK6z33t4eYDQIBqW2ZAFzqO18lSKBdJgfSV7LshD3+fTTT09PT1+8eHF1ddVut9vt9nQ6nUwmSimEDprN5unpmRa1cRzGMcJei8AuX1RxEMMwarVaq9UCqRIKrmez2XfffReG4d7eHkJUJEUjYdtBVej50RITqVjtkTHGQGGHPYBinpWVFcTsAUkBoqheb6JzBupHNzY2pJTHx8ffffuo1Wqhwt1xHEY5oanfs2jzQxlltsUOD569eP5qPvMdO5dzC5TwzQ3x1//rbwI/AiORFMR18uVSVUlarzW73S6jxs723mzqdTqdx4++X11ddZ1isVjkC5qlRf8+pMVYCszinMO/GwwGpXJOaxHMEqgGKKWoTa5Wq0dHR77vl0olpCBWV1cbjYZhGChoQUzfcZzl5WUkcBAVxUnWE2tZVq1WE0JoYkCcedgNQNKYpsmZKQWJI5EkgjumaRiULACnOPlhEA8H48uL7vLycrPRyuXttbXVy8uL3/7274PA//77J5TSzz//vFQqEkL29/cGg/7FxbkQn7iuE8fRaf/Usqzl5eX19XWMlnPGMrDKaxKTEFIoFCB9SqXS5uZmEHiIJNZqtZWVFZw4z/NGo1G9Xmu1WoCsSimHw+Hl5WW9XsdmKBQKCIAMh8M4bZdiGMb333+fz+c/+eST5eVlDYDDhGAk4/F4MpmkaXGuLRUMAwApDTWB9YZQeDYg+c7rQ4xEeiJIJmekFJFS4T9CKGMYjMlYHARhHCdCSNO0KGVRFPt+gF5mjDHXdfFWYL747rvvQDluGEar1frpT396cHDw6NEjJDSXl5drtVqj0Wy326urq4PBQGaEvlIYwMLosCzqeaiW4aVSaWNj45tvvnn27Nktsre7u0spDYJQJxm3t3eQl0Cd+8rKCgQiNA+WBxhXFIaj2w8hi8LkQqEAbaajE9dsLvv/V9yXPcdxJOdnVXX33DcGFwle4AGSkORQ2CvboQ370eEI+w/2k7wRXmvDYZuytCIk3iRAHANg7quPqt/D15VTc4AU97dHPQwHw5nu6qqsvPNL2x30/Py80WhAi7m8vFRKAUUKaiP8RFDZeDv5AbVNy4c3ulwu379/H50dX7x40ev1OJcIsgeHvFAogNPxxmutPZVGCfHJdBoSUS6XA+jhjz/+iJblnU7nt7/97V//9V/jwEN3MzYNgIjAIJK0w8ysxi6ZR67CGQaXhAjEM3KLtyiKRqPRZBJqW+AohKjXG9NpePv2bSnl7394enh42Gw2Hz58qGx6Nksp3Es6aQBaazSowTIi3oVMe/biTyaTer1+dHQkhKjX63fv3vV9//Dw8PT0tFZrQEFzvQqsTQshUBWKcA26g7148cIYc/PmTSA1aK35SaE4I7WjVCpxfT0mo5SaTqfIgOE8wVardXJy4nlepVIpl8u8fcD3hAOO1xk4MjCEYZZFFkIU6VxsFCLdh2wmA5q2RlGUyZQRwWOolyiKgAHq+z5QbxCKAZArUmWPjo62traazSYRJYlGUS/rRswoIfyQeIRFyGQyUTSF3xPzRHNdvJ6cnDx9enD37l08RaPRQCPVIAharRbcU7gUNoj7rQoh4PDd2dkhIgTfECsDT0d9diaTGY+nyEkgJyoFVh5bSAquhWHB/8ns8qrBSa0oyCciGIlwXUO1IaJ2u310dISgIcJ80uLl7OzsFAqFg4ODWq0GODL0zv6rv/qrMAzPz8+vX79+48bNbrf7008/jUajdrutEwISmucFUs6qaJVSSRJr7RljUGAvhFhfX7958+arV69AWzB4S6Xy+/fHBwcHQsiTk5NMJgNQMvRywjYIIRAsTiyUAwL9sMjevHkTx/H9+/dv3LjByqC0FWzGwWWBXvD06dNcLlcsFlG4jfbWQDTAimmtoc8mTtWHtoUcmUzm4uIC6fdoAeh53tdff/273/0OD95sNrvd7tnZ2cHBQaPRODs7y+fzjUYD81dKKblYyUvWb+D7frVaffjw4fPnzyuVCrJlX758ubm5iTYhsVMhao9f6pFw3QVSSjQJkE7eb7Va3dnZOTo6Oj09BWw1cEmgWXhekM8XQdB2bjQcDt+9e1culz/b/6JUrHz77begJfSedAU+6/WINA6Hw//4j/94+fIlkjFOTk7W19cBrgprWticEmDZIUpARPv7+4VC4cmTJ0jURZWIe+xzucx4PBVCgMe1Wi1jzO7u7lnr/YsXL6AreSl6ozw5OTk5OQEAgud5zWYTu3Z0dIQmdPAmYQKgECEEoKx//vnn169fQ0toNBrAwAbABBqF93q9tbU1YGAPBoOLiwvILQRVSsUKGKVwSvillNNpiGA3qBH4L8+ePcsXMm/fvr28vLxz5061Wn306NGbN29ev34NYwiZwjdu3ODak53rO9VqtdVq/eY3v/nyyy9v3rypHeB0ZfMltU17imzbNQAyIXkD8etOpwNNZTAYgMgPDw+fPHny8OFD8LjJZILisW+//RaUBhscRWUIXQyHw7/927/N5XIHBwfffPPNP//zPyOqNh6PDw8P4fuqVquA5szlcr6fWVBoIIORFccfYvzh2uVVvksyslqpT9bDfK4YRxqfKOmXS2Xfy3ieVypWlGxdXnRy2TMiQqcXIoqi6Nq1a9ls9s6dO1tbW2jhgmbHHJK7devWtWvXb9++U63W/u///i8Mw3Aad9q9Wq22wPWZXWqtUVVqrYOkVCo9evSoXq8DiFBrvbm5ifM5GAzRMLNer6Mm//79++Advu8Xi8Xd3d1KpQIigwlJRIntCDgcDmFQ8KF1zXBKCzDiarV69+5dgG9DujSbTVAzbO3hcGiMWVtbA3ISKIz5GigJZdfgrXBI40Tt7e0Nh8PNzc1M1vd9//T0BBH8bDZbq9WvX7tuyzYUbEZDhhM++I2UEs2toNoXi0Uw3K2tLfZ5oRswajDgFEYqDIsT/ibTIuRzpVK5ffs2zgYA3JIkuXHjBsg6n8/fvHkTZmmpVNrY2ATj0FpfXnQ21rf29vY6nU61Ws1kckh+XCnwsUc7Ozs3b94konfv3tVqtclksru722g0wJJ2dnbAmIAcDtmJjCvf99H3BmajECnH56Q8kD/IDLp2Pp/f2tqq1ortdrvdbh8fH0Ms7ezsQL1FylSxWETeRRiGR0dH7969y+VyAA8H3BwfV2S6IPUK/MX3fRinHOvb3t7udDoXFxdoaz6dTgEjhP06PT3N54rwGkEtZaFl8ZC8XC67s7Nz//79k5OTi4uL3/3ud+ib8vd///cQYEqply9ffvfddyBseHthA4GDP378+Pnz5z/99NOzZ8/gClAWKhhJmky30BvOzs6Ojo7A67vdbjYbbG5usiKMWXGVh5Ty1atXwP8nol6vBw2DW8kTEdSFzc1NoIvm83mg8B0fH3/33Xe7u7tbW1thGKK7Qb1eh4scCTOgSTVfxs46u3Di5toW1K0c+K/FPuMfHZlMZmdnp1KpICdLKbW9vT2dTgGTDjVKa93tdhuNhhCiVq8EQbC21iwUCr/61VdxHONz5CcC+Xl7+1qSJELIcrlSKlZKxYoUHkCIYV80m81CoeD7Ge0AQRpb8WaMkZLiOLXvwHnRVCSfK0bxtF6vQANHb/RSqbSzswNP3P7+vm/hlCuVyv7+PqDxisXi48ePu90uOkDFcQwVjOuO8/k8KyNuApqUslwu7+zslEol7ATMW8wZygV8Jffv3x+Px5VyTaVId8QVEUKIMAwrlZIxNB6Pm80mDOQwDBuNRr1ebzQaQcYrFovr683z8/N8Po+gFq4Wx5rJAukyeIO0MiR1Irduf38fZBoEwa9//Wv4RpDjvbu7q5RCl656vf7o0SPf99FwjT2YUGQ4KsqEWK/X/+Zv/qbdbrdaLaT4oQWeUuratWuZTGZ9fT2fz/t+EMdpQ457dx9cXFwgunXr1p2tra1MJpPN+v3+gDUCcuypXC7X6/VyudwXX3yBxMBcLgfkZmg9AKADhjxsml6vBydppVIBONbnn38O8OAkmeX/QzOYTrVvgcLy+fy9e/fQtkHIOswCUAKYYLlcPj09jaIIXXGAzXzjxo0gCF6+fInnBRnkcrnd3V0U1KMFEEQX0KEymcxXX32F0ySEuH79OqAz4c2AZ6lSqeRyuXv37oGDc8mWe+aVk5tsDDUajc8++wzmcOv8pNFo3Lx589q1a9jfvb29crncarXQNm5rawuzunHjhlKqUl5bX1/HiQBZmrQYwdPacN8nyGbos57nYZeROAhST5JkfWMN+/irX/1qe3u7Wq0Ggf/VV1/hEN27dy+fz8Oc2t/fB7JvEATXrl0TQkChCYLgH//xH+F0+vLLL4+OjjzP6/V69+7dNcZsbGwggsplKUmSeJ5ivkxOajrn3rsaGDlq4kp2OQfg5g7XqU/zkR/rDKp0u4NcLuf7qtvtR1HUbNa73QGIFWpjGIZSaRgIwIbpdruIcrTbbcanw9RhA8aR9n0fRkGxWOz1BsYY+FmkpMkkRHwT26OU8rzUDIxth7nElidDsxsOh9VqFRIVObSDwQD8yxgDlw2gPVByAP6LZNqzszMklo7H49evX3e73Tt37ly/fn0wGMCFpG3WOtOrVGSMabfb9+7tvH9/ORqNIE4wpcQClWPyURQFfhYpq0RUKhWBOYbTAh1ESpnLZUej8Xg8huCFYJxMR4VCwfe9breL+ft+oCSiYUJKTwpljAmjcaGQTxINr4hScjKZTqdTVJsQUaGQHQ7TpDZsLszYclkdHXU8C6sD5xdwghF2wDblchm44TAHW7WpMdtWq1WtVnFI0MtzGo7Q3hoUDBYWhQk0Dq01gGybzVK7PYbHEEPMF0HC7vM8D0CH0+kUMIDImQftMZMNAq/T6Ukp19aKL14c1Wo1ZOxiDp6nADmKPAQsizGmXM5rTb3eoFQqGkMXFxeVSmU47CP2ig0FgbFOimA3wKERREYeLswFZIYDrQMpq1wEjJBuHMftdrvb7T569GA8Dnu9HhgZ9D4opJDTnuchvq81lUp5KSkM02JfXBk8KM39zmahmQohiqUMbBocMSICREAQBIVC4eLiolgsojtesVgcDoeZoNjtdpMkaTQaxsa7YfpA6YamKYSA0x9EjtCZUqrX6xWL+cvLy7W1tURHgBmFXAnDcDIZo32bUgqWx3Q6rVQqgK+fTqfcnQn+jdFoFPhZFmzD4XBjYwOY9lEUdbtdCDCcRPiI0XmUh3QitMwxlQMOL53CHnekcaTjs2jlfwsnEOwGwqBRs6sCtFUul5Si0Sjk8CLA0waDSZxMRIo1kganWBmRDmgST1cnMwg/99U1NGyQFzU2hv8LZxtecPYrMYgA7ohz4nkSuTvGQk7Ftq+ZsfCamUwmk5GDwZSDaJBvWFDgpyKRkNWNIAiUJ4C8zTPkiCec6MiPgQ9bCEFGosgaLYy01sVivtcb4MxDYgMxHqHYkPugERymgtkZUdo5Dzli6O+ovBlcknZSa+FOYgWZnJie65Mli9vEi8MOCpO2V5rDGePnBfN1b42v5fIZZspQ+Y0WXPPOODdMb8IBZ0tsqSU5UA6sVeFPoIREDgworoPaVuPUaUibK2osdqdSkohQQh6GIQdPIN5wWaXSVGfsCGaOIhPQBr4mU9RLhSa9Cz7uZWWZHxO7bL1MKQAo7si+AnfLtKbEQfRhDyxLF3c34zjOF/yV9IAn0k5KHDY6jgQvo+sBZHZjnLJg9+f8gLYq2kt0mm/ACXNxHJVK+eFwqi3CISINYKnuSYcYSJKkVKzEFl8VCj7OCOvU5NRlCjHrxeQqfMJBzOHPhYNwvJIffoRdupYvr75SXG2aSnhjTDYbAAsDvjlo7FCOcvkMHm/hACBFxmXn8EZF4YyMiIiT7EHrfCxtbCHWJuYHllKiJSkGcpuYTIFlkCRglylEORYdKj0m4FvsVSw6HMz4XDpxcK01jHRpox84/JPpCMYsWWhCPCBru5yDgpzeTJBDIL5YLEITQUQV2w9OzXxfaw3lQmsNdskcyQP40xK7NBTP7bddK+wID3Kc1PiEDxL+xIrxKeL3gIkyjoOc14eWUDKJSMjU1QXKUTIFBPI8zxh366UlwllIDWyRqQVvzHwgCEEeFpCun4StLd7ElaoEJszONT5F9hBqy1u5UltAjLGSwlfWDhykO0ljUiQkl/EJ699QNg/UZa/KAWc0jsc8DOfmufAU7lHCn5PpQNiIB7/iqC5fXAhhtFq4FLNLd/2Z4ysl0RaBFTffT30jhmZIzPa3WohU5WKYD0vMi5Wv6d1JsXjgBQf9iBnA8+xBuL3KR9nlMjktj4/nXbpnyZjUW6GdzGEhxGiU6hSs6YBwoTvohHRCRCmN+r6vPH8yTlvU+55PRFEUJXGsExLC5ysbg4q3uXCKJd8UMhrL5JKvL31YHyb1UMC96KHNgO3uAiMln8kESaInk0mhUMJ9tWahJIXQxeKsM4kLdQOFFK1RsH/gelIRTDAwOHA6MD7Egvkp4EAwekIpupLHRzoIgkzGm05jFgzwcKFbkbEOU8/ziGYI4byTKRvVhoi0SXjp2BIRQjBKgssR8HQLZ8bMaw1XkQrzMiwON35wb0pE03AMpUBKmcSz3CN07raTSdGOpQWIW1BbxHwE06VV4wh41ypa4ALM0/mM8SH0fd/zUibLGgNoDNI3juM41kIozwuUSqEihFDGCK2NEDIIUqUBpqsTPmI4ksRWds6wwoDDKKVHBChGCW2XiIwh+KOFEEQCv7JPHSvblpZvxAqNsGBXwlp4cRykvzUCjfaMNkSGjAS2KwAfBQn8y4zbXXlWKl3ZA88Y0glg29nnSumTRZfjxRJQn8kmz7lGDy8+2QQvIUQczbm/eGvwE1YC+Aq8hiuJlseHuSR/4crI+PLvMYNpOIIW6aWtJlMTTCoajQc0pkqlksn6xpgUDDlMrQljnS/SSW1j5YspOI5mG0MkhOTTCHBAlrrpZSfTIbrsGmsxSSkzQY6Nu8RWOxinIghWmBCC+wFwp4fIwlnj9AZBiqDHOrJNoAmn02mtVsGVEd0ej8dBxoOvEzFE2DhCCPBKhDsSi4gchuHlxRnCgkIQPwIWPLZgKhA/vsWksich3XUvxX0BWCyIYMY6lRMTdLmGyyhdAmL7lJzcJpdwF2hugbKZPXH+oHtrfDOOY0GKSCpFVnWSoW1Qgc6xuLvniTCUTo/ZueoAl1D5NUmM1mT7yhr2sUCCEpHtLCjY0Hc0EZ7/TCHV1h/lWtBsxvIisBRceQ5ZHRPzqhk5LB4X5C3mDeJpsMxzr6yUL6VKGR1J3BzJ0SZtLUlYQFQPc68q+xSuBYn5zG0x3Kz4Pk/eOD4N96m1JtaymW1hC4IgAOyzSydaa8+buTvI6v5hGLrX5+dlAUyOeIa5CdvL1TrdbV1JurSKyy1s38L4SN7lAl0aY54+fSqlXF9fX19fZ3UAutX79+/DMLx169bm5qYQAtmFSqaps5PJpNVqoZ6h0WigWh7JVkIIJOVHUaSUD3uH7y4kUVo7kcbxwS49zwsCX5sALAMdcXlToYgJMQM3SxITRQkKhOA9GI1GYEOZTGYwGLI+T1YGRlE0nRrWLLisCE7GJEmMoclk0m63AdkwGAyu72wDtGl7e3ttbU3ZZAimcmxqFEWtVuvVq1f93vDhw4eZTGY6jeD2iizINlKamX+xocFUGIYhOIh18ZBI6xchaWarR0tshRMqWUS703O1Of7TpS33+4nThQ3yDBx/gdYxpPCSWGudSk1jTBQlUZRY7jCzZ40xgIhe4EHScXm78zFOVhM5rDy9rxRAh0sseFfKLMVc9nLqsLPtblgnchmlcJx37uYy5cS2iw4onHUCY7Fz2LOx8sSJ+aCW+zk/Ju8jOsKDZlz2yjuL2wkLjeowa2GBxImcRtkLfITvS/PCgN3ZLv9CTWdisfsodfd7yjahWjCikyT1QmrblELYhqBwOiknTi0ck2KZ2bk8miXNh3nfJw084y8tgmRx9PTpj0opItNo1KUU02nopV0W4vfvj1qtlhBULBbK5XIQ+EpJMjOkufF4jJgXgoZYOESBlc139T1BlLIYra1XW8ywiIQQxiTGpHWgoADrV0ptB0TZhBDGCOv193O5bDabHQ77YRjCOkAeBrYKuqoQggvgrOd4jneTowUQkdYG2YVPnjzZ3t4GC+t0Ot9//32SJChHxdWQfsiBS9R1HB4e6iQ9utBq0cAgsXBSuC+84EQEh690XMlCpMZsql2a1F4TQqKFw8L+usePnM5x7uFc0Dr5diuJhKMF5ETkYgs7tnDgiQhRbDfJH7ucyWSk9MS8uqqTOT2FLyilgHFK8+eZnFY2/KH94YyS+YdSSiBXGicCg4ONxXeffYGDkJWp/B187gZAAJ8jloxHuVQNtbxWC/d1lcp5uUXMH+0TzYp5KGWXMwcumdUcRIq5vuck0vvGFo17mY3SPHXhwXGu2WRkGU+OtHDnmbqkHD2AxZ57l9lF9Eyh4SskNuGE7+KIzJWP+3Hre+X4uDG+wCZyuRx0B0hIpA4gCCiEQL0B+6qVUr3uEPi7lUoFq4mKGrLd4BDi7Pf7xhikAfHdLQgrkYBr3HBEDGnn/X7f89M8jDiOgyCDiEpvMuh0OtlsHqw8jrUQkW/bWmFf2fOC2kdlB8fgZOo0nPXMY0OY82zhrxyPx91u9+/+7u+q1aryRKvVQlY5QAEGgwEULnhzkGWCosC1tbX2ZRfcsN/ve55XKBSEbSiElBSUpuEcWh6dinTkUTraFod6Fm1Vl/0Jq6Ev7C85Ope74yu1OXe4ByBxcP/5/LtHC/Uz/H2tSQiyqu6cbigIDrjZTPg8wPZcnjlZtsJ3tCKW0KmCHB2QnKPFa+IyvgXiJ6uVuxH2BeOUl5QnsMAoyTJZfJNXVSzZue5Tu6zEvYUQIo5T1kxOBMMKFW7CzI2VlJJgnTDYZy4Fu2XE5jw8EnE8defmSgVy3DV8HXjDWE/XWidJivZPjmXAl1Iq1dg8pw7YcyDZaZ61CZo1y3MtNjeYzGS54PdwxwJ/cwXVVT+hP6AIcm2tfnFxEcfhcNhHb/VarYYCzCSJMhm/UMhJSZeX50B7bF8OisUiMOk8Cw0AMj08PEQhBBRPZHfXqlmet5TWMBfQv2LAhSolUHjf6/Va5yfgnnCrV6u1MAzPW5ee521sbKEIL0mS4XA4Go1g0a+vr1erVVRNoegqn8+fnp42m03ueTuyw5ikWq2i3tnY3mTGGOQwo0ry7du3BwcHX3/9NfrTwjUBsdnpdFB1gzJtKSWq5VBoxGlJKG6Df83zvMvLS5Qq9/v9IAg2Nzc9C1Dk9uohIhg+nDNIKREYIpjki64uJmuO6bMig8EhIGYlri25zHZp3gY0NnVhQeDzrTF55q1JkobOoigChjHmo2R6eLSDP+jyC2++Eyc5tqdwVFSaZ16uoofvcPYC2+ksRxdmjpHJ+FpLl1m4s2LWwwsI8tYOqrSez+/jVcU8ec48f3cssEsp5WQS2iw9ShLNP2dfJytfKu3GMdcKnBcH4t9dq/S5xGIXa9yXU2KNg/qqnLwfM/OSp31VhVyhZUtb5rDg33AzAfhhhRDAjlgp1HnrOSivlIqi1U6P5fFhRmkWQj3L4pTJjtcrjuMoSowR02k0HI5/+9tv9/b2KpWa1loIFYZxsViOY93vD6MoevHiVbVa7Q86F5dno3E/X/is1Wqdnp7mcrlKdd/z5ctXz05PT4UQGxsbwMKL4snDvUw+n0fmATzEnsdARAniNCDuwWDwww8/PHt+cP/+fSFEr9cTQoDl9frtyWRy9P7tv/zLvwQZ8c2/f5PNZnd3dwfD/g+///mLL74oFIPhqPvTzz8Q0e7u7vlF9+j9227v/Kuvvur3+8+fPwd872AwaDZuSpGrVX1BEmdHSiWE8TxvNBqR0NpEhWJ2a3vd8002p7SmyWRcKOSz2cx0Osnlsp1O++Dg4NGjR9vbW2dnZ69fvzo8PPzXf/1Xz1NaJ+PJ4Pzi9PLyUkp569YtzxdEyZu3LzOZTLlc7g+67969+6etf9LGeL5QHkVRguORJEkcaSk9JX3haatX8tBWxeQjjV1Ov+b7qVcIbkmQAHv8XN3T5SnkKESWLpEQgy/PdBMpZ4k+MBhtJCFRTi0maB4N/4RA6aEhIkOJvSZHfogDPsYkri3lxijc/+IDhQXAxNiKl1IQaeUZosRQIpXAlIXQhmZ8Kv0hGRIkBCGnwjXS8YatS2ZSRCSlTBJDlGb/QWXDQeaV4cWHoo38DZM2pJzxR61j+yy4I1JQhVKCKG3hR8Q/19op6UNfByKTJJGQi0wBN5DKuH/iYQURImMLRSvaQpDEFkGC+aw2IRFJxXeBMDAkNO+Le6k4IiIlSMF3JCh1pyJoKWzyQPoshqRM3eiuPLNLNOPCZJ3IHNJwJQ3v1ArxYDd9QaIYGzKbX7slk97Mj9FoPBqN378//vnnZ83mer3e8P0AgZB6vREEGWOo2+398MPvz88vjo9PhJAnJ6fPn7/o9fpKecPh6OysNR5Put3e+fnF5WWbSNTrjY2NzU6n+/79MTmdoTwLkOVWVbMejuB1q3XebK7funW7WCydnbWOj0/K5crdu/eiKNbadDrdbrcXBJkgyGhtstncs2fPT05O2+1Ot9sjErVaPZfL93r9fn/QbnfG44nn+cPh6NWr15eX7UZjrVAoSCmn0+l4nEQ2ak9EKGXJZrNra2uAAkRdMPAEgS3CaGwANEPBSa/X6/V68FQOBoPj4+P/+Z//6fV69XpdpDEr8fz585cvX56fn0spm80mqgPlipyyOfq7aizv6Z9hLMzzwzP8Mwz3bPCbhc+Xx19q6VZ+uKDD8ht+df9caQf8BcfyIi+T8cr/XeA/C9/5U0z1A5ddYYy7soI/4YBpPp9//fr1+fn5nTt3fv3rX8MMD4Kg0+kIiyIhhHjz5g0RKaVOT087nQ7KzoQQ8Fc2Gg0UQRaLxe3t7bt37zabTVTXAl2KHcachTAYDLgshzVfrXU2m0UVsNb65OQEFdZra2uAHwcWzoMHD2Dntttt1FQBAR8Z4xaTJu0ChgEIhs8//1yJIiBIkZ8vJHEUL5PJRPEUJoUxxuJ0GcSakKwO5yxKRMDuAZkBCCkhRKvVimxLHPSNSJKk0WgcHh5qrYE6jq4yyGkd9KfLou9T915cEbqhTz9aV13nqkOLPm6rvv+h1M4/yriCgyzOx9g+1CbNMUjn5/7Q5bZm3kfx/znQDtu+dyawuNTp11bqN3/AfT8sMBaMzg9daMl7nr7/IJ1cNaVldY/V3z/RWHXH2eerITbMvL+Z3xhb1QdQlouLi2q1miQJ3IKTyQQdrFCJWKvV9vf3v/76awRPdnZ2zs7OjDHo/kFEqB4D1gCyHBgkFb4PLvxSabPTGYwuOBpiI/B8FYvFUql0eXkJT0q5XGZUUfBoKSVKsPEgmHav1yMi8GVU6SBJqFqtrq+v1+v1wCvDpksT2RxSDgLhTdPUGWOM5wVSeuPxkGzBJVgkQNuMdQsmSYLqWiwdJnZ0dPTy5Uugk0yn0/39fSI6PT39+eefiahWqwGzp1KpaD1z+S9YCr+ECOjPq2u4nJ0/+7Pd3R0ug5t/sxjMcf9c/vlV4+ot+ANXe6UKSc6SLhxS/nDx9r8siHHVWP7VsiD8hde5grNfeZ2VuuTVwZsrx4LSvXKtPqrq4s0nh3pGoxHQZdbW1p4+fcrQRFAAa7UaPAgAggWMEkLYAI5HS0U4/hChZiB4wPlVq9UwDA8PDyeTCZpNCptkw1niSDUXFh4ZqwDAK+QtIpcTAZDJZPLf//3fuVzus88+W1tbQwK5Mebg4OD777+v1WoIpCAVHMXmwiapRVEUh2Nk04MnKm9Wv2wMIS9SKQ8oAwY1S0oBMczY5E2wSNTDYv7D4RBMfGNjA+A6T58+LZfLe3t7AO96/PgxYPq/++67nZ0d9O0pFou3bt77VPVh2SL+JRz2TzY+ld7/1PPkQLn48Onl4QoANnT+FPOh1QzFsGpJJIiuDGX8hezx1drlyrV1nbO/cHwqs14pbMAcr5IELmO187Qh+4XNXnm0FgYR7ezsPHjw4Jtvvnny5Mne3t7e3t54PL64uIC9ub6+fufOnf/6r//6t3/7t+3tbaVUqVQChARy7ljdA2OCF7JcLiNv/Pz8/H//9397vZ7neUDtTywGCTs0h8MhsFuGwyER5XK5wWCA/qhwGgAjEhAYsMqRIS+l7Pf7nU4HDVeB84rAOlBIgS0GZVkpRZq4CshGadHiozCZxOPxGDi4YRh1Oh2WBJ7noXESWHM+n3/16hW65hpjgNUKJA7f9wGde3R09Jvf/Mb3/UePHnU6nX6/X6vVtre3X758OZ1Ou90umpfeunmPPkVl4KJ7ZzOJyBCtNn7/WMb4wtVmX7si7+/Kz8UfhxMt6BRM9rYeZvb6Ab1SCIF1WzbGr14H7Vyf5t8b5zWdgNEzduOyGKRVEc3KE4UQLEqWBeGn8spf7tL5GMO6il3O1Wg7P/9Q5HpZwbQBvT9Ew/0l4yPGOF2tJ7t7IO1A25BGo7GxsXH9+vWzs7PLy0vwJqAtSSkLhcL9+/fPzs7evXv37t277e1tNF3odrthGGazWfj1wDs4+REAfGh0NRgMWq0WGnMjCwHqKo47M9xqtXr9+nUkJyql1tfXhRDM6UqlEnLO79y5Mx6Pcam9vT04EK9duzYajc7OzqCEXrt2rdPpwNgHC8P0CvkcKguk8rROk+S11tmsard74Mu+76+vrwshk0QnSWgMbW9f8/0gDKNKxa9Uqp9//sXLly+73Z6UqlarVyrVTCabJLpWqzeb61tbW5ubm74fvH79utPpttsdpbxOp5vP55vN9Xy+UCgUwzAajcZc+bCwi5/qPvsz6BpXie6/kC3uTGCe4FGpTb9gTX45Q/mjjA9zKJZ7YEYfmNuCZP2DPZsLatqnjquZ+MdJcX7j5jJYfwklf8AYF/Pu0Y9eaoZItLAcrlMMjBJMqtttIxahlEIKIUIW6PjR7XabzSZCFnEcDwaD8XjM+trTp0+FEPV6Hajd33//PRISHzx4gF7Gvu8jw/H7779//vz5gwcPgEqL5DUA+cAPiIpDoEwDwjYIAnT7ajQaxWIR0edGowFT9+Liwvf9x4/3Xr16myRJuVyuVCrgldvb27C7j4+Pr1+/Hsfx2dkZGkZXKhVjZpXCUB6J0ry5bre9sbF2fHw2DcedTgdwqpPJ5O3bt1CiNzY21tfXUddxfHzseV6lUkHEBvmnQBIEtliv10NMCT5KzDlJEljr/X4/DMNqtRpHBDBjNiiMLZZYucFu7p5rInygCO+jROMOc1WVyFK+Z/rnFRGdq+4r5KeFgK4i+pVmExEBgYVWaD10xeeaVkmsq9Zz4abu+4VjjFerXS76LhdUY7K7qU3kznD5FC/c96r1+QVmytyV5Xy5jnMFSavuy5JeOKgrtGj9LN5u+b5sFS3sy1X7a4xYvc6O958c36W7PnxYiLOUTlrxSmM8mW9txq9RNHWnaGxyspvm6i7HcvXIAqnxwJ9AJ+10OnEcl0olgMu6a21s0T6cgLDZ2eHIaa5cAL6wIrCIuUCNq5KQrmQs/CVZpJzJJOb7aq2NA/ATBCm8axAEw+EQ2amT6Qi1SSjCwU3RuQXo0GBVmD8nrxlbmMGw6kIIfnDoucC50knqjsAGIQ8BSXZu+jpnXAFOmEvigiDwPIVNHo/H5XLu8rKPWvh8PheGs87RZMUv/mTUA5fIiEjrWfYyE5YxJpfLAHAhth0u8eBJrBlqgPcd/8VzNk4dm+fPcE45nxzLhUxpRM94kqhK4ERlstiaYRhWKhWlJACYhRD1emE4jKfTyFa7pkMpJaUA8hZvvZnV/8z4BeeiJ0kC5zUmH9uurUSEahY8grJYM9hlFFbAJ4PK4H6/73vZ2CKBkuUyyiIE4prsHQrD0PNnJ1/Okv8TyFTchWvYyJYnSJuWLyxSEVYvTiG3PbIYhowTaiwm5nA4ZLQhHmKWhE/83t1K3qP502SCwEuSJJ8Per2RlLJUyp6fd8vlspQiSXRs29vypXw/TV/nJ4Kuw3XA7onwPA/0ySSkLG5ZLpeZTiMuQcSi8bSXh2FjfOVg6ndFGS0VmTGb8+Yh6ha4Mi2JLxfvz30Fl0HnBu6qCObCNMEV+0B15ofkNCZhtSeeJ88WJAVgV8/z0MtsOp2WSoUoSo8Z4jwI6EvpWWcfjopwSDM95CwqfN+PE4/D4gjZ41LcgNfYMkquqJG206E9q9L3fajS0iJW4IdBEETzsWZ8zrTo2W7gXEayvl4VguKYptMwjuM4DqEvSymVEkTkecCsJClJKaFUYPlgCtOANXEZCu87ESmVUqe7+8YYxmFUM1g2ItsijSfsUirNM+iFYhgxX8iRySiigHeW2RM4EdOesLHBXC7neXIySet3hRCTien1eoVCyeX+lLJ7wYnZC/STyfj87MwIQDDCpvTrORgO1PiTECZJIq3Ty0ZR5Pue50nfV/ivMJxIOasFxM9ZcmtbbY3lYmL2fY/FJK+/nAcKkQ745sJi8oSZ5xoLAS6ECILA3QW8cTtTLtsQUjr16Q4nWWALZOt2+FKspsi0zoeBIKwebaeBz7UtjmK+ucC47EFYoZ5LKcMwZcR8Km3V0+ruEin1XvUfC1ySX1Gf4J5V3M5tccErIgSqDmYL6hBl+hV+xY/iOPI8L5PJSAcRlsUmPxVSGqMoCoKsdoBUWYLN149hvUgIWltbU4qiiBBWIpJhGI/H01yugBpWe8hBXquxRUG1eHqUPSh0kgiCbCYvpZxEkzhOBCkpvMBXIDvwX7LaAQseKchQQkYIIZRUnud5yhvFE/KlFCLRUWyzqTwVxCLk48SyXdvqQ6UEmDgfgNEodrUtXiK0VTEmNe2n02kUxdMp1mGu/A4rj3bBroBM5a03+5q776iaVw58HIaywPXu2YGMdLVUPCLTjKuV4JM4nqsUZt15PB5zKZ6rPU2n0ziWg8EAiW5KKc+jYrGImmUWY2SPmVtk6T4Xny7jyC1hI5bCusY8C2w+nY5NCjsvoa8hK44fmblSsgonwsxLeuGYUNLW2hlnMCsUQsBaYshxTCOxfWyk02dF2/6g0rZZJ8u/mGKFxUh1q+YXeJNJkZ9WGL/uPN0zhUMRhqk5FUWE63PxKJ9o/NAFLtIOtp57PPkubG7xBFhOxxb+mSz6+oKRsTBwhY8kErkyRzhe0oWruEJjgS26WoP7v672577hLt6IojDGGlvliQWGYlmEZeUrL++KcITq5WXHGAN7XFs0lFqtxgDmzMXcPXAXwT23XDabyeQmkzBJDJ8mWhQqqarlzpOvyfdyD787f5cE+eLCUVfxqyiaO2nGmEIh2+8PoIbDUAUMCjzC4/GULSSL3D5jtbxoCxNwB27Fd3QJTliVZM5aF0ZIkiRIGEPaGDKkhaREx0QkpCBhtEkECUNGKpEkc+V3/OBW2qWUAGcxo4vyJhqLsMltJIQQDC/meZ6UiUM8s5MfBFlsI/6H1wHBQ15zVp8ZtC2ZgaKKJJkZktKW0vOsgBidWOQU6HQkDAlDZJCGYcgIIbBEhjRR+l7KFCSY1eqF08fKKQxncBkLApt6M9yEPNeGYEsOaXAOBGICyoGsXaAHS4SxXRk8OGyUtBTSVWOxqECk5ToR+MpcybEwIIbZt4PNBbOzBDkn6aHxYO9YMWdN1n0ENhGWb8pf+wR44OX/WlisldvGtL5wQc+qJe5hEEIkSTyZTMD78WxougTdDVsFiSTSlkFpbb+YN+JcnuJyaqXU4eFhsVhcW1uD67PX66FJHvM+1vaNMUHgUZrmNid54IUEmlEURZubGzgS4/EQbrU4jsGAEMTn3rnkWLj81FLONCnQKH9TCAGyxgXJqUfmBRQWJImzUFk3j+Pk8vJyOByura0Vi/lMJq03h6/2/fv3mUymWq1ibtB6FmSksL163MfnyS9vIlnnzMLDWpMwFoLQsiJJIksMMknAbiQsCrKcKIoSngBf3z3VUEOQUlYsFsvlMksg4VjHUsrxeNxqtUBOvi+jSBcKst0e0Uyc8/UJKO6u5FsWGy4Hx7lFkasxplwuI/cWeR0YmFIYhsPhELOFftdqtYgol8vVarU41koJmjURmKEKYbmMMUqlmGyx0yFDOLLZJRIpCRDJeO+lcIszfiRtLxAkCJM1h4fDIbqwNZtNpgQ3pGGWWoxIKZMkIkpRoEALOi3i8I3BQuGm7N+coYMPBoOTk5Pbt2/zqrIbwV1zHHOygg23ZufJTDDbteJJktMyQFgvn7HWgDEGWi1dPT7CLpk+hKNg0iqpssArF9jlwpdpiUvyh0optBVGkiYC3L7v3759u9lsAtbIXSz2VbHS7vIRvi/bIMPh8MmTJ0KIe/fura2tvX///tmzZ+vr6//wD//A3JbmgW34GpRmwSi+5uXl5fHxMVLfsWFoR3FyctJqtcC8AJZRq9XYycJbhRmy3YfL4uCxF1KkHuu0rZVSfjKHcWcso5dJMtN52VQ/ODh4/vx5t9vd2dmZTO4Wi0Vpe5CNRqPf//73xWIR5QCAm2OfI37uOox4sxb2ztL9jBKYNbgUybTBfIePKy+7y6FcVuVSHb4P5QiCczQavX379vj4uFgsfvnll+CtCHAxARwcHBweHj558uTLL7989OjRxsZGv99PkvxCaIuv7y6yOwHwL6YxVqtxr9FodH5+jj8toqvH4hM7BZzs//zP/0R75ziOnzx5Yoy5d+/e3t5esVjmpeOlThxwTJbrrp7I83dXD69oooXP41gzxjYzO2OdLcbxw/b7/Tdv3rx582Z3dxfS1LMgrUSEgJV7F5dlrxw8B2Yj/Cxg1qPRCGVs6JELGFyyoTNhEQtRi6xtgwOyXViAeehumbDQJ2xru0TIDIFs6bNroS4P8WFjfOFIuBxt+aLLbHQlY3WvvPx9vHn//vDNmzcXFxelUqler9dqNSzWs2fPUKtTLpfZEier57sn070Xu3uYFJIkabfbWHEUHZ2fnzebTbaJ3DNjjInjkK9mL26EVex7vd67d+9Go9H+/j77ofr9/sXFxYsXL8bjcT6f39raAnyGde5IYXulJjb93lyBFIntTJzsAmajxioROCpRNHMnkeMBuP/grqHk8vJye3sbjZ6TJMEkJ9PR0ft3jUZjrVmvUpmENpSG7KXTWmvZp7PA/szMR0HGoiiS07VCOsi7DjIc/8oYkwQBkElnLf201nEccuiDeTdZecMfApL5+PgYCAbCKpWs1Sqltre32+028El9389kZKeTJElCQitPKYW9TowxQgrliSSVmi4LMESkkxkTd5eambiwUcfUf6qjIAg8I8Mo1kYEnkdCD0f9/qA7nlSDjOf58rJ9LqUU0mRzQRhOuImeEEIINGbAsnhSwpmjkyRKkkTr2Ji502Qctw/Z6LaUEgxuOp0qlRMORDxvBuhKCIGfDIfDw8PDp0+flkqlvb09fKdYzIdhmofA+O28FLia8lKTnBNspZJEIopm5wjmmiGjjZYmdUR0u903b978+OOPjx8/5jMurK9WpNaPH4ZzDXyENSMWGIu7O2xesDcMpOhKHVdNplUDl/1/JKHp6lhA5UoAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7FA4AEC16C88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZxXY4Q1WKQ3S",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Combining text to display response from easyocr as a single string\n",
        "def display_text(bounds):\n",
        "    text = []\n",
        "    for x in bounds:\n",
        "        t = x[1]\n",
        "        text.append(t)\n",
        "    text = ' '.join(text)\n",
        "    return text   "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7sw3X_fpLSuK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "accc8efe-0605-4473-b995-20ab68432963"
      },
      "source": [
        "display_text(bounds)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'AFRIKAANSE PATRIOT; gns blad! Ja,dit die Een beler naan vl it kan Paivini nns noort krt nir wsnt cen cen onsknernnt ool mnaak flulss vent, wil cn 5o ons klein. nl:tar Tluks.'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LzXtOSSgH81T",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 706
        },
        "outputId": "f6822aa3-5cf1-412f-a352-8e8388a11191"
      },
      "source": [
        "# easyocr with change in parameters\n",
        "bounds2 = afrikaans_reader.readtext('aff.JPG', add_margin=0.5, link_threshold=0.8,decoder='beamsearch')\n",
        "bounds2"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[([[116, 0], [242, 0], [242, 23], [116, 23]],\n",
              "  'AAFRIKAANSE',\n",
              "  0.25228366255760193),\n",
              " ([[236, 0], [332, 0], [332, 26], [236, 26]],\n",
              "  'PATRIOT;\"',\n",
              "  0.36837607622146606),\n",
              " ([[256, 16], [304, 16], [304, 48], [256, 48]], 'blad!', 0.809546709060669),\n",
              " ([[39, 19], [103, 19], [103, 47], [39, 47]], 'Ja, dit', 0.2865535318851471),\n",
              " ([[113, 19], [151, 19], [151, 47], [113, 47]], 'die', 0.3022823929786682),\n",
              " ([[303, 19], [383, 19], [383, 47], [303, 47]],\n",
              "  'Een beter',\n",
              "  0.37666207551956177),\n",
              " ([[144, 22], [196, 22], [196, 46], [144, 46]], 'naam', 0.16132481396198273),\n",
              " ([[200, 22], [230, 22], [230, 46], [200, 46]], 'vn', 0.31326213479042053),\n",
              " ([[224, 22], [262, 22], [262, 46], [224, 46]], 'tons', 0.30965226888656616),\n",
              " ([[384, 22], [436, 22], [436, 46], [384, 46]], 'nan', 0.15192468464374542),\n",
              " ([[7, 35], [51, 35], [51, 63], [7, 63]], 'kan', 0.929680585861206),\n",
              " ([[305, 35], [363, 35], [363, 63], [305, 63]],\n",
              "  '\"Patviot\\'',\n",
              "  0.1477731168270111),\n",
              " ([[48, 38], [86, 38], [86, 62], [48, 62]], 'ns', 0.19902367889881134),\n",
              " ([[86, 38], [138, 38], [138, 62], [86, 62]], 'nooit', 0.3286825716495514),\n",
              " ([[136, 38], [172, 38], [172, 62], [136, 62]], 'kry', 0.9710591435432434),\n",
              " ([[174, 38], [208, 38], [208, 62], [174, 62]], 'nic.', 0.7788482904434204),\n",
              " ([[212, 38], [254, 38], [254, 62], [212, 62]], 'want', 0.7008073329925537),\n",
              " ([[274, 38], [298, 38], [298, 62], [274, 62]], 'en', 0.6215603351593018),\n",
              " ([[407, 41], [435, 41], [435, 61], [407, 61]], 'cen', 0.7108216881752014),\n",
              " ([[261, 53], [325, 53], [325, 81], [261, 81]], 'knerant', 0.7281128168106079),\n",
              " ([[325, 53], [367, 53], [367, 81], [325, 81]], 'ok', 0.27034905552864075),\n",
              " ([[10, 54], [64, 54], [64, 78], [10, 78]], 'flukse', 0.7292929291725159),\n",
              " ([[86, 54], [108, 54], [108, 78], [86, 78]], 'nt,', 0.9037036895751953),\n",
              " ([[160, 54], [194, 54], [194, 78], [160, 78]], 'wwil', 0.38109931349754333),\n",
              " ([[392, 54], [414, 54], [414, 78], [392, 78]], 'ik:', 0.6183501482009888),\n",
              " ([[192, 56], [230, 56], [230, 80], [192, 80]], 'ons', 0.6088227033615112),\n",
              " ([[228, 56], [266, 56], [266, 80], [228, 80]], 'ons', 0.8510633707046509),\n",
              " ([[362, 56], [398, 56], [398, 80], [362, 80]], 'maa', 0.3371501564979553),\n",
              " ([[135, 57], [161, 57], [161, 77], [135, 77]], 'so', 0.14745402336120605),\n",
              " ([[9, 69], [61, 69], [61, 95], [9, 95]], 'klein.', 0.7973026633262634),\n",
              " ([[55, 69], [143, 69], [143, 95], [55, 95]],\n",
              "  'mstar fluks',\n",
              "  0.08503396809101105)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yC8LBGVILWbM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "0aa071ef-f36a-4e03-f44b-b742cc896d78"
      },
      "source": [
        "display_text(bounds2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'AAFRIKAANSE PATRIOT;\" blad! Ja, dit die Een beter naam vn tons nan kan \"Patviot\\' ns nooit kry nic. want en cen knerant ok flukse nt, wwil ik: ons ons maa so klein. mstar fluks'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eBkZGTd7jvsP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "beb9e271-aeba-4402-ad09-868fd03316ff"
      },
      "source": [
        "im"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7FA4AEC16C88>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aPK01Ac7JhOw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "c1ade603-c9ea-4e28-cd7c-1fd45eaaba3d"
      },
      "source": [
        "draw_boxes(im, bounds2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7FA4B9F942E8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zjim14gwhD6X",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "combined_text = display_text(bounds2)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8yzZLobiJnNG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "88839b86-13b9-43a4-e5fd-e42c55f74a95"
      },
      "source": [
        "# Detecting language\n",
        "print(translator.detect(combined_text))\n",
        "# Afrikaans detected successfully"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Detected(lang=af, confidence=0.8718019)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "flZzWc7CPUsM",
        "colab_type": "text"
      },
      "source": [
        "## Translator"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "owB9nj1YhKkP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "00cdcf78-357a-454e-bdd3-198a1f113990"
      },
      "source": [
        "# Converting to english\n",
        "text_english = translator.translate(combined_text, src='af')\n",
        "\n",
        "print(text_english.text)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "AFRICAN PATRIOT; \"leaf! Yes, it can the One better name of tons nan\" Patviot's never get nic. for and cen knerant ok flukse nt, wwil ik: ons ons maa so klein. mstar flux\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PVUo-gMFhmVD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "680d0161-4d84-466a-d478-fd350cc09bd5"
      },
      "source": [
        "# Google translate with source and destination language parameters\n",
        "result = translator.translate(combined_text, src='af', dest='en')\n",
        "result.text"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'AFRICAN PATRIOT; \"leaf! Yes, it can the One better name of tons nan\" Patviot\\'s never get nic. for and cen knerant ok flukse nt, wwil ik: ons ons maa so klein. mstar flux'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IDIap5woitc8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "fb9e64ce-5101-4a26-bdfd-745988d181de"
      },
      "source": [
        "draw_boxes(im,bounds)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7FA4B9F942E8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kE0BUh_I3oU8",
        "colab_type": "text"
      },
      "source": [
        "## Pyttsx3"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pSMD20IMnpt9",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import os\n",
        "import pyttsx3"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f4RNCUkUnvGw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "test = \"Please subscribe to my YouTube channel\"\n",
        "\n",
        "engine = pyttsx3.init()\n",
        "voice_id = \"afrikaans\"\n",
        "engine.setProperty('voice', voice_id)\n",
        "engine.say(\"Kom meer te wete deur voort te gaan met\")\n",
        "\n",
        "#engine.save_to_file(test, \"Hello_World.wav\")\n",
        "engine.runAndWait()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TKTnbIvSqsDh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def SpeakText(command):\n",
        "\tengine = pyttsx3.init()\n",
        "\tvoice_id = \"afrikaans\"\n",
        "\tengine.setProperty('voice',voice_id)\n",
        "\tengine.say(command)\n",
        "\tengine.runAndWait()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RAypana3rffO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "SpeakText('Hello')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OSyAz4B-rg-g",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "\n",
        "import pyttsx3\n",
        "engine = pyttsx3.init()\n",
        "voices = engine.getProperty('voices')\n",
        "for voice in voices:\n",
        "    print(voice, voice.id)\n",
        "    "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EtrpIcrYzETF",
        "colab_type": "text"
      },
      "source": [
        "## gTTS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t16keBiriyje",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Voice output with gTTS\n",
        "from gtts import gTTS\n",
        "ta_tts = gTTS(\"Hello\")\n",
        "ta_tts.save('trans.mp3')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fxfd6Td0lxIV",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "87dd1d4d-c510-4899-d1e8-430ff8304cb4"
      },
      "source": [
        "from IPython.display import Audio\n",
        "from googletrans import Translator\n",
        "Audio('trans.mp3', autoplay=True)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" autoplay=\"autoplay\">\n",
              "                    <source src=\"data:audio/mpeg;base64,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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WFXvoSz2l950",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 75
        },
        "outputId": "4194570a-e524-4c82-b106-766fe852f3a9"
      },
      "source": [
        "# Voice output with gTTS with   African Accent!\n",
        "ta_tts = gTTS('hallo', lang='af')\n",
        "ta_tts.save('trans2.mp3')\n",
        "\n",
        "Audio('trans2.mp3', autoplay=False)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
              "                    <source src=\"data:audio/mpeg;base64,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\" type=\"audio/mpeg\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ],
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "x8_Lsb2CzPGH",
        "colab_type": "text"
      },
      "source": [
        "## Testing functionalities"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dvCWXVFg-N2v",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from PIL import Image"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kRv1F70y-ISa",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "img = Image.open('aff.JPG')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pdGehV8d-Qfu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "86c04615-84c1-4c82-ec6f-bad17ac30a85"
      },
      "source": [
        "img"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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\n",
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=442x95 at 0x7F67B6C69E80>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MaldWGL2Dv8e",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import cv2\n",
        "i = cv2.imread('aff.JPG')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uRuXrnCRD46P",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "5e102900-bd2b-4264-ccf7-6460223c23c9"
      },
      "source": [
        "from google.colab.patches import cv2_imshow\n",
        "cv2_imshow(i)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=442x95 at 0x7F67B6C28E80>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r1tcZSqD-a-F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 689
        },
        "outputId": "e6626961-2848-459b-e6e9-a1099c493835"
      },
      "source": [
        "import easyocr\n",
        "afrikaans_reader = easyocr.Reader(['af'])\n",
        "bounds = afrikaans_reader.readtext(i)\n",
        "bounds"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[([[119, 0], [325, 0], [325, 19], [119, 19]],\n",
              "  'AFRIKAANSE PATRIOT;',\n",
              "  0.052062347531318665),\n",
              " ([[231, 23], [303, 23], [303, 41], [231, 41]],\n",
              "  'onls blad!',\n",
              "  0.020365474745631218),\n",
              " ([[45, 25], [97, 25], [97, 41], [45, 41]], 'Ja,dit', 0.22347727417945862),\n",
              " ([[119, 25], [145, 25], [145, 41], [119, 41]], 'die', 0.7174989581108093),\n",
              " ([[309, 25], [385, 25], [385, 41], [309, 41]],\n",
              "  'Een beler',\n",
              "  0.2368805855512619),\n",
              " ([[149, 27], [191, 27], [191, 41], [149, 41]], 'naan', 0.048100583255290985),\n",
              " ([[197, 27], [225, 27], [225, 41], [197, 41]], 'vl', 0.0016383446054533124),\n",
              " ([[389, 27], [431, 27], [431, 41], [389, 41]], 'it', 0.005182032007724047),\n",
              " ([[13, 41], [45, 41], [45, 57], [13, 57]], 'kan', 0.18374258279800415),\n",
              " ([[311, 41], [363, 41], [363, 57], [311, 57]],\n",
              "  'Paivini',\n",
              "  0.14725536108016968),\n",
              " ([[53, 43], [81, 43], [81, 57], [53, 57]], 'nns', 0.8593284487724304),\n",
              " ([[91, 43], [133, 43], [133, 57], [91, 57]], 'noort', 0.18635345995426178),\n",
              " ([[141, 43], [167, 43], [167, 57], [141, 57]], 'krt', 0.02119266986846924),\n",
              " ([[179, 43], [203, 43], [203, 57], [179, 57]], 'nir', 0.0317993126809597),\n",
              " ([[217, 43], [255, 43], [255, 57], [217, 57]], 'wsnt', 0.2511666417121887),\n",
              " ([[265, 43], [293, 43], [293, 57], [265, 57]], 'cen', 0.6735501289367676),\n",
              " ([[403, 45], [431, 45], [431, 57], [403, 57]], 'cen', 0.7687781453132629),\n",
              " ([[233, 58], [325, 58], [325, 75], [233, 75]],\n",
              "  'onsknernnt',\n",
              "  0.19958987832069397),\n",
              " ([[331, 58], [409, 58], [409, 76], [331, 76]],\n",
              "  'ool mnaak',\n",
              "  0.06342652440071106),\n",
              " ([[15, 59], [59, 59], [59, 73], [15, 73]], 'flulss', 0.08967619389295578),\n",
              " ([[165, 59], [189, 59], [189, 73], [165, 73]], 'wil', 0.3420602083206177),\n",
              " ([[67, 61], [105, 61], [105, 75], [67, 75]], 'yenl,', 0.06613139063119888),\n",
              " ([[111, 61], [131, 61], [131, 73], [111, 73]], 'cn', 0.19886653125286102),\n",
              " ([[139, 61], [157, 61], [157, 73], [139, 73]], '5o', 0.043290287256240845),\n",
              " ([[197, 61], [225, 61], [225, 75], [197, 75]], 'ons', 0.49230000376701355),\n",
              " ([[15, 75], [55, 75], [55, 91], [15, 91]], 'klein.', 0.7794898152351379),\n",
              " ([[105, 75], [145, 75], [145, 89], [105, 89]], 'fluks.', 0.36410123109817505),\n",
              " ([[61, 77], [101, 77], [101, 91], [61, 91]], 'II:tar', 0.026562221348285675)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LcG68ri0TDRj",
        "colab_type": "text"
      },
      "source": [
        "## NGROK"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lpK5jfKDtmX3",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "365c81ed-9b18-4c3a-9136-4e51a465a0b2"
      },
      "source": [
        "# You can get your authtoken by registering on ngrok.com\n",
        "! ngrok authtoken 1g7h336T1xAouoalHP6OMDbwNq8_HBEqdqwQxTAyBavUM8PC"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Authtoken saved to configuration file: /root/.ngrok2/ngrok.yml\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jLBq9wJYnA5t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from googletrans import Translator\n",
        "translator = Translator()\n",
        "tt = translator.detect(\"Hi boy\")"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YKSi7hC7nO19",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "6b28610e-d5d1-4afb-ccc2-4f30c3b42e03"
      },
      "source": [
        "tt.lang"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'en'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NdngzgSZyuRk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import streamlit as st\n",
        "import easyocr\n",
        "from googletrans import Translator\n",
        "from gtts import gTTS\n",
        "from PIL import Image\n",
        "import numpy as np"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "j3cI-nmTuKxI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "30db7361-b0a2-4689-ce8f-86e9cf096005"
      },
      "source": [
        "%%writefile score.py\n",
        "import streamlit as st\n",
        "import easyocr\n",
        "from googletrans import Translator\n",
        "from gtts import gTTS\n",
        "from PIL import Image\n",
        "import numpy as np\n",
        "\n",
        "translator = Translator()\n",
        "\n",
        "def display_text(bounds):\n",
        "    text = []\n",
        "    for x in bounds:\n",
        "        t = x[1]\n",
        "        text.append(t)\n",
        "    text = ' '.join(text)\n",
        "    return text \n",
        "\n",
        "\n",
        "st.sidebar.title('Language Selection Menu')\n",
        "st.sidebar.subheader('Select...')\n",
        "src = st.sidebar.selectbox(\"From Language\",['English','Swahili','Arabic','Afrikaans'])\n",
        "\n",
        "st.sidebar.subheader('Select...')\n",
        "destination = st.sidebar.selectbox(\"To Language\",['Afrikaans','Arabic','Swahili','English'])\n",
        "\n",
        "st.sidebar.subheader(\"Enter Text\")\n",
        "area = st.sidebar.text_area(\"Auto Detection Enabled\",\"\")\n",
        "\n",
        "helper = {'Afrikaans':'af','Swahili':'sw','English':'en','Arabic':'ar'}\n",
        "dst = helper[destination]\n",
        "source = helper[src]\n",
        "\n",
        "if st.sidebar.button(\"Translate!\"):\n",
        "    if len(area)!=0:\n",
        "        sour = translator.detect(area).lang\n",
        "        answer = translator.translate(area, src=f'{sour}', dest=f'{dst}').text\n",
        "        #st.sidebar.text('Answer')\n",
        "        st.sidebar.text_area(\"Answer\",answer)\n",
        "        st.balloons()\n",
        "    else:\n",
        "        st.sidebar.subheader('Enter Text!')    \n",
        "\n",
        "\n",
        "st.set_option('deprecation.showfileUploaderEncoding',False)\n",
        "st.title('Hack for Africa - AI OCR')\n",
        "st.subheader('Optical Character Recognition with Voice output')\n",
        "st.text('Select source Language from the Sidebar.')\n",
        "\n",
        "image_file = st.file_uploader(\"Upload Image\",type=['jpg','png','jpeg','JPG'])\n",
        "\n",
        "\n",
        "if st.button(\"Convert\"):\n",
        "    \n",
        "    if image_file is not None:\n",
        "        img = Image.open(image_file)\n",
        "        img = np.array(img)\n",
        "        \n",
        "        st.subheader('Image you Uploaded...')\n",
        "        st.image(image_file,width=450)\n",
        "        \n",
        "        if src=='English':\n",
        "            with st.spinner('Extracting Text from given Image'):\n",
        "                eng_reader = easyocr.Reader(['en'])\n",
        "                detected_text = eng_reader.readtext(img)\n",
        "            st.subheader('Extracted text is ...')\n",
        "            text = display_text(detected_text)\n",
        "            st.write(text)\n",
        "            \n",
        "\n",
        "        elif src=='Swahili':\n",
        "            with st.spinner('Extracting Text from given Image'):\n",
        "                swahili_reader = easyocr.Reader(['sw'])\n",
        "                detected_text = swahili_reader.readtext(img)\n",
        "            st.subheader('Extracted text is ...')\n",
        "            text = display_text(detected_text)\n",
        "            st.write(text)\n",
        "              \n",
        "\n",
        "        elif src=='Afrikaans':\n",
        "            with st.spinner('Extracting Text from given Image'):\n",
        "                afrikaans_reader = easyocr.Reader(['af'])\n",
        "                detected_text = afrikaans_reader.readtext(img)\n",
        "            st.subheader('Extracted text is ...')\n",
        "            text = display_text(detected_text)\n",
        "            st.write(text)\n",
        "            \n",
        "        \n",
        "        elif src=='Arabic':\n",
        "            with st.spinner('Extracting Text from given Image...'):\n",
        "                arabic_reader = easyocr.Reader(['ar'])\n",
        "                detected_text = arabic_reader.readtext(img)\n",
        "            st.subheader('Extracted text is ...')\n",
        "            text = display_text(detected_text)\n",
        "            st.write(text)\n",
        "        st.write('')\n",
        "        ta_tts = gTTS(text,lang=f'{source}')\n",
        "        ta_tts.save('trans.mp3')\n",
        "        st.audio('trans.mp3',format='audio/mp3')\n",
        "        \n",
        "\n",
        "        with st.spinner('Translating Text...'):\n",
        "            result = translator.translate(text, src=f'{source}', dest=f'{dst}').text\n",
        "        st.subheader(\"Translated Text is ...\")\n",
        "        st.write(result) \n",
        "\n",
        "        st.write('')\n",
        "        st.header('Generated Audio')\n",
        "        \n",
        "        with st.spinner('Generating Audio ...'):\n",
        "            ta_tts2 = gTTS(result,lang=f'{dst}')\n",
        "            ta_tts2.save('trans2.mp3')\n",
        "        st.audio('trans2.mp3',format='audio/mp3')  \n",
        "        st.balloons()  \n",
        "               \n",
        "            \n",
        "    else:\n",
        "        st.subheader('Image not found! Please Upload an Image.')        "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Overwriting score.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EyEvk-Wzunit",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "6a06a0a1-a9f3-40f2-a18b-2c8eac6733a3"
      },
      "source": [
        "!nohup streamlit run score.py &"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "nohup: appending output to 'nohup.out'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sY5TfgEEvhOE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 190
        },
        "outputId": "d7722afe-f44d-406e-998e-d61ee3a0b13e"
      },
      "source": [
        "from pyngrok import ngrok\n",
        "\n",
        "url = ngrok.connect(port=8501)\n",
        "url"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2020-08-15 17:20:54.602 INFO    pyngrok.process: t=2020-08-15T17:20:54+0000 lvl=info msg=start pg=/api/tunnels id=a8c7445aa94d1bf4\n",
            "\n",
            "2020-08-15 17:20:54.671 INFO    pyngrok.process: t=2020-08-15T17:20:54+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=\"http-8501-8ebd4cdb-4f1a-496f-b7af-a8ee2b6677b7 (http)\" addr=http://localhost:8501 url=http://ebd437ca5dbb.ngrok.io\n",
            "\n",
            "2020-08-15 17:20:54.675 INFO    pyngrok.process: t=2020-08-15T17:20:54+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=http-8501-8ebd4cdb-4f1a-496f-b7af-a8ee2b6677b7 addr=http://localhost:8501 url=https://ebd437ca5dbb.ngrok.io\n",
            "\n",
            "2020-08-15 17:20:54.678 INFO    pyngrok.process: t=2020-08-15T17:20:54+0000 lvl=info msg=end pg=/api/tunnels id=a8c7445aa94d1bf4 status=201 dur=68.801404ms\n",
            "\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'http://ebd437ca5dbb.ngrok.io'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e5K_xpO_vTp_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!cat nohup.out"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}