Image_Search_using_Sentence_Transformer.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/adityarajiitmd/App/blob/main/Image_Search_using_Sentence_Transformer.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
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      "source": [
        "!pip install datasets sentence_transformers"
      ],
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        },
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (2.14.5)\n",
            "Requirement already satisfied: sentence_transformers in /usr/local/lib/python3.10/dist-packages (2.2.2)\n",
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            "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
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            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pKrNfgZVF4sz"
      },
      "outputs": [],
      "source": [
        "#image library to edit images\n",
        "from PIL import Image\n",
        "#dataset library of hugging face\n",
        "from datasets import load_dataset\n",
        "\n",
        "from sentence_transformers import SentenceTransformer, util"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fashion = load_dataset(\n",
        "    \"ashraq/fashion-product-images-small\",\n",
        "    split=\"train\"\n",
        ")"
      ],
      "metadata": {
        "id": "1Y6zhFyzJCJy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fashion[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s2OrN0TuJI9U",
        "outputId": "543ccb3c-f7b5-4eaf-cea7-d7a63417181c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'id': 15970,\n",
              " 'gender': 'Men',\n",
              " 'masterCategory': 'Apparel',\n",
              " 'subCategory': 'Topwear',\n",
              " 'articleType': 'Shirts',\n",
              " 'baseColour': 'Navy Blue',\n",
              " 'season': 'Fall',\n",
              " 'year': 2011.0,\n",
              " 'usage': 'Casual',\n",
              " 'productDisplayName': 'Turtle Check Men Navy Blue Shirt',\n",
              " 'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>}"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fashion.features"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CPxaD5rCJNj4",
        "outputId": "68e2a1bf-f49c-407e-af75-b12c048746ed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'id': Value(dtype='int64', id=None),\n",
              " 'gender': Value(dtype='string', id=None),\n",
              " 'masterCategory': Value(dtype='string', id=None),\n",
              " 'subCategory': Value(dtype='string', id=None),\n",
              " 'articleType': Value(dtype='string', id=None),\n",
              " 'baseColour': Value(dtype='string', id=None),\n",
              " 'season': Value(dtype='string', id=None),\n",
              " 'year': Value(dtype='float64', id=None),\n",
              " 'usage': Value(dtype='string', id=None),\n",
              " 'productDisplayName': Value(dtype='string', id=None),\n",
              " 'image': Image(decode=True, id=None)}"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "images = fashion[\"image\"]\n",
        "fashion=fashion.remove_columns(\"image\")\n",
        "\n",
        "fashion_frame=fashion.to_pandas()"
      ],
      "metadata": {
        "id": "NRh75pwsJQiE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = SentenceTransformer('clip-ViT-B-32')"
      ],
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          "height": 369,
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      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "product_number=0\n",
        "\n",
        "text_embedding = model.encode([fashion_frame['productDisplayName'][product_number]])\n",
        "image_embedding=model.encode(images[product_number])\n",
        "\n",
        "query=\"blue jeans\"\n",
        "query_embedding = model.encode(query)"
      ],
      "metadata": {
        "id": "XE14CXOGNAMC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cosine = util.cos_sim(image_embedding, query_embedding)\n",
        "cosine"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OHCXUvvCQPuJ",
        "outputId": "524e3564-a011-4ce9-c68f-11a759cb1640"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[0.2068]])"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "image_embeddings = model.encode([image for image in images])"
      ],
      "metadata": {
        "id": "YFkMnRCLQZE6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "results = util.semantic_search(query_embedding, image_embeddings, top_k=10)[0]"
      ],
      "metadata": {
        "id": "3TgVgQ2xCwUl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def img_search(query, k=10):\n",
        "    query_embedding = model.encode([query])\n",
        "    results = util.semantic_search(query_embedding, image_embeddings, top_k=k)[0]\n",
        "    for r in results:\n",
        "        display(images[r['corpus_id']])"
      ],
      "metadata": {
        "id": "4unSOa1DDn49"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "img_search('blue shirt')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 817
        },
        "id": "w0tfE1pgDs9o",
        "outputId": "5872f2f2-303a-4fbe-ad56-f4230af852b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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GkYIC4ACgJr8taBVa2iYRuCqCpA3VadU8tH7u9Bu9A3c9Yprt1XIYNTTBpiau+l7Ejb15U7mWEN4aIF2jQJLoeJIdOXjouOcwvzo38lXIGrVulWUJgg3w3gMCqwCA3+YfNyrjEYNszxfzEbmJKNerji/2Fkfp7JETp68sr7lh4UaNvM1109SzIrIh9MY6Z6OgvF14CBEppXrq/OLwDIywp3JpWC9286qYTdAr+qBaacQ6QAKCBuDwts3SraHJDQFvGsVqtxUchPssS67L/mp71lw85zHoT/DUsFIjUzvMkYgmNkppYk2soTSUEq0pCZ7gAysiRu28rYUobgRV9mPRKU+2Ts+dW1otiRoSuFVb4VgACt5T7HNAbIp0u5Zed8XgAGAjkUFBVK8/MjomoiBOxLF6Wwu9ucO/ptsfm1xEWKso0iLIklSCiyJT17UNdlxQN1/x+nUjaGYwYK19a1hPoqKYYK5e6cZxTkQijsYlEIqIIbzBunldc+bxWx9aaxGkmSGSLE+cs9cMILeivqGlASDUdS3Bi3gGMXMSp2AzN7/MOiYigQ1SiwizIlIbuFgPxLBBvBGm48+sjJfABAWJIxNFWikCy+YZ5Fbjj62hJYyPqatCRBCEFRRxnMbE1F0dMiUAiMY62BMpCIuQvL0QXO8eIuK919rUlSNGXddZljCDzXrbsc694W/XPaitoYOMm7vxdvJ6aWCoSJFCVYcg7LyAgojQpiIlIhunfUffABBCCOCyrAHYuk6iiEQA1G7cYYZrjpHtNgHrNyrOORq7hwBAIAtAqSj4dXcHoJQhKIAlbJyTAYDecok3z7pu6aryo1EhHuO3g5i0CHkf1tP5O7JsA3r9MXvvsclmIXgAWkUiNO7GIax1hE3B904WoM3OLSJFWVWlrWuQJwmktZYACCulrt0MuG60d4NhTeQRAKQhKyo3lJ5OOawC+SGmOhauUPiklDpuxrkL1dh5eL0BEBG/XvwEFCR4IbBmrQhKk9KS5/mlJR/HiHccKvvdEGsUtasGvXgHyUiLF04UoBDA1+7+33z7gqIIYBLyzhW2nmi3iXlc47Bp5+96G29OF9cvrdgoPRoOW62WZmWrQkRqt/7uy41H6zdOeQwhk2ZOwAJX1YWrd+7aK2Av64pCKSVg/+YltsrN16ATkQpBa64qOzU1YxQ5WxKksj5pTIA4CG3efrnmFm6056IAEHSel87Dw3pXs8zu3hMCOxu0UmMHGGeojV3AsQhZ5yZsuMtmtwYQvNU6ivMmuRaRIHiArUg+MQkwM/sgW5WXG1laAwDrZqN0TuoQrKMszttT/aJcD3mAiEKQ8PbzXF9TcF3C5uCJdZQqE8ciokhq68BJY6ID0KYkHQC8TZjexD0EAKetViUCKxJC3GhARf3+wHo/1h7j/DXedtkohNd4yMbXjZsREa21FyyvCZlknJuHZcFpFqU56M3nv16owrZTHtYfTtJq+XWFS3ErB9DtDbwTY8z4hCEAtDHxeIsbmzLd9VJEaz0s6pPPvwQVg7X3vqh93p6CjnxA2Hgy4+DZpqVDCOtDmCQFKfGBRHQUScCorMajMJJ1gXG9xNvsDJtZNz4TqVFRvfjqKVYRMzsJNvhGs41NlWF88PVsW/eIrCEWCFpH0eSUmopDSNrx/qBw8uTa6ghNSsV6ZfpxnDsvpGMrHs4yQzMIECB41IGYmRRTkIB1PRMCaj9sJdllaSo/35mYbqbJxd7lqcYBgCMDAMooAFAawDWD35vu2DKruNOeMqbKkwY6zSsra6+fPxvlLautUQjwSRKHYKQmEIg0hJwHAAUiZoTgvcCP7cdaKWalOXZB7GjQu7LavbKaJflgsNaZnlJpejOeG0IzACIRRaA8axeDs8ZEEgavvbz63E/Ot/d+MMBQHPlCW5tWddRurAIsRETKOe+deCKwMsZvSFYEAYIgeO+Dmont6OxLL7z44/p9M1mvXLUS0vbkHUGPh2ghQEFHJltZWSHygdMm7auH83V1Mei2sqxImE0eN51VEkhxpHSkSRP7cRfBYpmYSIlQICciITgW56KBsXM7zZCGqzI1rRR7QdycuiNoH7zm9dGOMSY4S96FapTyycn4ldWrK9nOQ4UYIzRaiYLEddXwjpQyadLQJhYhESESJlm3dKDxbCmKtYrI+QW7cvIXPn3s3ffs9P1BCGGyPSVQWwn/bUEzFMZhIPChio1KtBFR+5Py4w8e+uaLc1MTh8GkAhejwrpRTRfqogoWlURcaleX1hUioTcooiiJozSKojhNU0lixNqwq4sj06vvv/uYkWGcN4ZrS8owybb+w2FraObxbDiEut9bTUCKNIWo6c1HH/zAk899LRRGopYQTXQy533uB8NhUQxKccHZWmwNWykV0ijO80aj1c7zRpJkOlLMLBKKlVOffP/90WixX0k2O81alYMu/LbeQLnRNjMgTpyzo8GwmysyKop1snL5zIF9D3RajazT5mxqMBjo3Az7/bosq6J0dR2c97YQX0bKxYmyJYg9Ql3bIgTPtSIWEZHR2kPHDg3Xnpue2j8qHTMzWVv0jbn5pu3W91VXnlTNsR/2JgI6nf2jbLKYaT6z7PRoYJJwSUIqon19uTsIa3a01icVdJbqaHKiNdXrL164fPnyZakHFKz2jquK+n1fl0q8Xrq6eCIfDIz+3998bW3kKF1ykeLGTtNdvLmdbwQdswdIkLenvYrPnr/Ujhu0tHb+1ZdjdhTsaHV1dWXJEHJDCFUcp71eb3FxESTnzp6568iBTrs5Nd1OG4mQHVY96wdKe1aurgfD/sr9u++90Bt86em/OLmwlKd7o0Fjfg3Yf/COoP1Y1ngAyeSeo4VKe92+u7L8xssvFMNeI0laeQYW4kDBQpyz0mq1syR1VZnE6nd++7c++YnHfvrq8yoKnpzzBbFLEiQJxwZpoh89cd9Lz/9odvf0wf0HuueuLM2vdWYPrG3vnaot/2jkq4jIEEB698OPmn2HvvPci3sOHPzQY4+7NGu2p7K0IUlsJbCXtNmIszyKkmaz4arhoX17jh3c/b5H3t1p57VzzDCxTiITxyZS3Mry3Ttnh9Hw7HM//LkTJw4YtTJcDdPZviP7WrbeDvSWgZiqxJY2MqYqvdPynsc/s/vgwedeOzV55F3fO31x4DkIx80s9pEfucrBuaJyZRonlaa/+YmPMvzhg3t2Tk8UHkoZY0hrHWmtmLXiZt76z1/92s/+zMffd+Se18/M1xPp3e//kJ7eCR/dETQH1jFDEGWK0KjhGvvuSju7/vW//2JVXmrsPd5ptputqAEJV4t+v5hot9f69bC3Nhx033XiuEa458jRfXt2v3xhOfGGAlghSWKtjSLyVqTz0Ctl88JLFz71xON7jx5GnI3qoGNsh3rrLTmwEKzUAokA7XWW71gs6I0ByczuPUcO75lpZ6aeSKmTR3me9vrdUdGHuMc+8sH7ju12rvKhPn7fPcFViZFGHk00o4l2OtlpTLTz5mQakr3PnL7609LP3H+/JJm1iOPtviS4paWJ4AFR7GwRUcY1gsHcla5Nm83ZTEUqEQGoE5lKe6bQaOSkiqo/PH7vPczQrAX6xIkTX/n6t1vNpL2jNdFuttqx4vGERCVxRlwf2DMNwMGZCAiifA2T3xT6/wFSlOUgc+iZQAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAADwAAABQCAIAAADKqIEEAAAd+ElEQVR4nL2aWYycV3bfz92/rbau6qre2GSzRVJcJFHU5pHGMxqNjVk8Y8fGIECQBxsJ/JQ8BEgQPyTvQWAEQRLkJcjiTGIECJxMBrbsscceL5pFM5KoXaREcWs2e6muverb7nbyUJJAatT2kAJ8nxofuvD98P/OOfec/70EEeEel3OOMeacs9YqpT546IFS8B4oAULAWuutk0o5AtZZgii4IADeA6VQlkYpca/v/WjR+/iNtRYAGGNz4qIojDGUAgFgFAgBRETnZSCAeO+sLgrBBXrvnAMA5/DTEAMAv9cfeO+FEACAiISQOf38SZ7nkovZbHb58uXnf//bQRA8+eSTr7315pkzZ7785S9b66WUAGCMJUTQ+5Hrw4X3uLTW8z/mAn/03GqDHl995eKvfv1rx9ePCAKVQKy2myuLC48+dOa3/uk/GXT309kE/b2+8BMWudeY9t5TSr33AEA/lKssSyXF737zm9/6P//3hRdeiOKgSDPOeRiGgpN6o9npdBqt1n/5nW9a6613QRB8Cp3vXWlEtNY65xDRe18Uxfzh1UuXvvzcc52F2nq79cDaSrsat5OooUQ7ZJtLrfOnjh/ttP7lb/0zRIeIZVl+GqXvOaYRkRAy17gsy3lYD4fDf/tvfvuN1y6aoiTc9bo9BwAAtVhxwOlwAABWm4sXL966fmNlbX2eA/e97jkdCCGEkHkdkFIqpbIse/755//Tf/6vxphGrZ5lWRDIxUaNAFhrAymFYAf7vbxIe/vdg4MDxvk8uu573bPS1gGnhFEPzlEmESAU8lu/+z81qzaA1UcHjbpwNNioNZdWq+tH4riCdVL9j3958aUx690a/tH/+J0Ljz3EfIQU5xL8bUAzBugtIYAEirKQKnjxxRf/6vsvLPHssc7Cs6fPDPJ+bWH5588/tVwPZeJ9hsXt/W5mxxdv9g5G3/z9bz369/7O5z7zpfg+YO8bGgC8t4wzIIQwAQBpmk5m2VqdoymbsTxz8uT6xsmFuBnFFZ8I4kphJl988oGfdMev63T7VldlPvEe6f1oPF/3HNPaaMY5gPfec86sg83NzXoS5cbXW+3cOM5lFCrOJK13TNTZLV3O/WJdLoWUUlqvtU8e2YSivG/i+4H+sDZTj4QAOF1ybwIGi4Hv1KNQcU6JL/OAOT068KboROsV2eIprNWak3yiWpXm5vo0Dj8N9D2HB2XcWs05ZYwXeRkFau/mDTvNaCd8Z6tnbHsQEWxX2uvnpCOinuxs94caJ8OsXmuZaRrL/f7bl6rnHoZPsY/fT0xbRzinFIgUAryvCLoYk+V2B0jw5l752ujGxa2J8/VzD5748xf+6o9efdObvWULzdramRX51JnN9nSsgCHcc3d5/9AI8FGPxhnF2fT4+pG1TuuBaqFQ7hp95MwZMzz44fP/+3T912699HyULYWt1kbS6DTaX3r2yV/+4s+rjiqZl3j/iXjP0M4XnASA4BANcUElINOQ8sqMsi8/81RW7MexisvNW/v7eiF6/NzZ5l65EIrVdr3aiq7u2aGowvGTyhug6m8PmlNpSi2YZJwgcACjKpWvfeMb7/7l82tB/dxXv7j7zjvDK/sziFo0Ea31849s7OfDxY2lN15/Z3Pj4VNHzgNWMyai+0a+n+ox38YoIID11jgHSfwb//gfnX3kwl6vX+71ptP0jTcvJZU6oUFW+qlOW2sdllQLHm4+9vnmuaeBiPxT7eL3kYiIXAoA8ACISJkEcLLdURvHXvjeH9/y/TxN9/r75OjRy+NBQcist1u+d0mpcEKTz/3GlzCsWg/NT8V879CEEET0hCBAwAQBmGUp4Uy0V672h63N9ltXrzVl8uaV9ycKlpUaZ5NZ76DZ6kwTBqo69Z7oTCgASO4b+n6KpUOPAAyAIIAFKSIuoy9+4Ze8ltzI451jm4tHfu0Xv/b58089fPRkNIMTJ0/f0vmjz/0ieCFymgSBJbP7Jr4vaKQewAN49ODBZVpyhgCN9pGo0nr9zXebCx2wUA8rEll/d/+xpx5DTq5tb4cLSyWCFWCAU/g0/RLc87gFCAVaSjkxRhABHoDDi29f+oPf/87Lv/e7w503/u4v/eIxvjCepUdPbywLXjTpD//se0nz6E8GovnMN77w9V8924YOA/gUY8ChMT1FFxHEcsaVQqeAUkAgCCUD4rm0AIwVCH/69tZ/+4M3vvP992uv//eTR0KZRN//8feXv/ar5x67EMWqtLOX3psMfOVcnOXb733vR813Ol9frsI/f9yvLxQAAkA5oABAEQhYQON9iBxmhRcMIgHorUeGjN0JerjSaBGY9oQxYAAEPDifpXkkEELVA/Wja/5Pfrj/0is39/dvOTd8+N3fdv3hRrOxNzjgreTU2QeXw6SisS/jkzXXYPqKWXhr8Su3j36pUJUqyU8s2gsblWdWoeJLcDlQgSyeAVRMASKYT2sUPAFAJAjkzk728OphDSEcOVgADhbLMWE8rEYA5OIt/afvj1/rqq5ZFEfDlkjy/d106es2/YvS7B1bWejr6Nrl0fLpuBHl6xunn46233vvZr9yYbDyhUxUKgFkJtzWsP367JX33GNHa2eWVUtCiFghFjgps7GKYge8MDYQkhAgdwv710A7CAAAbGlBloRQzWtdD7/z49nWtt7at57h4mKiqnEfGzu5nbjPdJRze3+4VidPtJZvHBRJGIRrnY1ostfv3ww2thtPDsMmRaD97nqzPpkWTlTemJJXXvUbN+izx+GJNlmkOQsiyrmzBqkTQnoAikjA3Yn61ySiz7TjnEpiAX1mwpsW/sPvXbrJTkcRVFSpCCFG6hLG+TAt+ldvjZZ9fiK92tz6g184PltObHfo4tZpGpoXRp3ra78y7DzO0KpsZ5IVorPJFE9nhlJaiRn3npaD1Wb0wJHouSNQ5SDBOmuAhwjAEAlaoOJvhp4BhOCpTQlTJZHf/snor97PdvJgsRJpa6a6NJ4wGXIltcuybJrpiNAgwiI+eOt8uLMm+hR95sRB9dhlenKYbDQCkNMDA57WO1YCm1pJCTgD1gglRaRyhEkGX18bf/2JWg2A2Qy4tMAZAHEamPyboTVA1tuvNxcGTvz7b196qx+IpMMpq4iDoqwMpmpSFCiyuCqUiKmLFnV3xny31DTqgFPd/ay5Eo3LXoQiqdWkziPMUcapUHEEqnTcFeO0tJ4FcQ0YlKXnFCsxc/3dbzy9/OwGBFiCR8sCAsDA37mlHArtNDBqgfJ/9/9e/l9v687DT+eD8RIrRqpTiUECTPvjSS8jSKOKCCPaRyZLtxBVZrNJWI88Q5NnEZOGmDCIwfs8zRoLCyqCbJTVArZtmC01WCe5UFICgLXaOVd4/vSK+/UnowVpAKyjSlsfCnon9KE7IkoAvbc9ge/8uIBhaidblVat6DsYdf0oJaWPw6jWjFSF5Do76I8T78KA5ZBDSLO81JklJCiQURpYB0hFVGtogGmGVgR9J8rhSBKoVqKoEminZ7qwROaWNoR58UC9OppPoYwSGhKn7+Y8tHpQBIgaf/HiuwfjEVMy741VZGUtGU6GUkpCiNYaACqVinMuTdO5wccEF0JwzhkV89YKvQaAD74nepzP8d4zweczsveeEMKAeO8RsdC+QHO7C3aRzT1vYB8fJw9VmiIUPvzjn7zuA8WJTPcGCeUQqyAIZrPZeDwmhARBgIiU0nq9zqUASgBACBFIyRkBdIBOcMooEPAeLc5Nyw+PECiliIjOU0oZY2gd8agdtZ5e2xkdpEgpJwAAjN4dwoc3TB5eurz7zs6osdyWQZTuT4TRObgkSeb24VzIDwRmLIoiKSXnnFNCKXhvER2lEEghOWMEwHt0bm57AoCUklJKCPHeM0oF4945guAJ41zeHpYHOQcAQABCyd1Dw1/X5b1yaS81CgBUlJTTbLB1gxC01tZqtWq1WhTFbDabe5B5ns+tVAoIAAieUVCSJzEPOAhGGQFG5rhIKRWcc87mRh4iMsYopVpr55y3KCmMNdlLPQAA8Q6A3E19ODTz270yVK3BQZcEUoXBjXfeUujn6nrv52+a+59CCO89IUgI8Wi9dYieggMPBJFTkJxyyjgFCoQxyjmfO49zpQkCel9kuSm1LXLmjAG5P7aAAOjd/Lv/LNC5y3cPsrpsuCxPnU6a9d7tm70bNxhjaZpmWSalDMNQa12WpVIK4IPQpJQyRiWn6Hyezpw1BD3nVAjGOZ+HxEdmKSEE/AdGfTadlXlOjKamAKq643z+PxYA7q7Lh0JPi9nOTi9icSzEcDYKqokt8uuXLllrKaWU0nk0c84JIXmezzOSCyqljCKWJHxuj1hr0TtGqOSUMfYRrscPoQEQ0RtbFEVZloIAQ8u4zAsL6AHA/tQU/EHRudPlnpee/X1/MDNWZS6ptVS7e/u6bjaGF3+Y9foyjFLGB7OZm84S7wUVhQw5oeCsK7TLCyiBIQScxkqmwHNPvPeSQSIgop4DEgJgLKVkkmVICEfqc1sJo4XFpooTEyYz7ybGZp464JwC0OnHoe/8XnNiAAjDcDpNh8PhwsICEjj54INJfaFw5NJPXmA6jThVKnBABsMxAKA1lNIgiOI45pyXZZmlHhGiSEouCCHWo7XgHDgE770zdp4Y84+GCNZaxpiU0vMiKodLvlTZVFCgxFAAMNGh0B/VIwDoDsat9lK/31dK1Wo1T8WxU2dVffHmy39+cOWNhCIntESiAbJsRl3pvacIlBJAop0vy1Jrby0wRghh1vhSW22cs+gcGmPm6jAgBBhaVxQFgOeE7iWLKasTUT+wjb4HAhMBHjH4OPSda165CCFbO/3GYicI41u3blWr1bTUldbS0vGTML799o++B+kYrHcIslJJsynzzmmT53maFlprApQQVpRmOMq0tlrr0rq8sFluig81ZsA+0GeehWnqvXfOxNaEUGQMdrFyrQcAhIEzd1to9M6G6SNiAOjOimFmVtbXu93ueDZttFqFI42Vo5UY9i+/Pti6IcEDeOMsY4zNp3PrrDbOISGEckEI9R4F5UqqQAVcBkwESgZJHNcrCaUUnf9wt8GiyChBj3Z9fL2JPQ+6YHj79gRcxTkwP52IP72cc1dvDz0N49rC8trq/v6+cY6HoUxqQRKCLbavX/H5jIMf9A6SqEIszOvdvJg4h84h5UKF8Wg0mk6zWapnaTGdZWmms0znuUYkziE6P9/by7JkjFEgt9XJvfj4OJAGYTScAhHWQgz5J0DPm4KPclFrfX1vmLSWLJKVlRVKIcsyyliYJCyOIFDjg/3BzhZ1JQXrHejCzyugtd4YZ4zT2palLUsjpZy3UFRIEYRKKSEEIQStc84RQohHY0w2nc0PVDMFmOvV/t7a1T8Ju684CpYJsHcdd/CfTkHnnDHGMYVMefB5li8uNKOquN7vH4srNIiB5N653e2b9dXlhXojnU6ZD4iwiOiAUErntxO01kWuVUQJYR44eqCUMk7Ba2PKalgBAoQQ9Ki1zrJM68Ja/dT4u4sHV9uT7e67f7YWnQV8ruBJrO/y0D5oTekd3R/nvFKp/HLY++bvfa3xyJOk+jhZfXyCHeLDEVSSxQr8+I9XznS29v2VK8cef/wJEvr+ZFYC08YFKhRSFsYS55lgBElBIJQ8VEowjt47bZyhhKtBGHbspCidDqt48MMLb/6L36wea4gHliIzxINB2Z84k/ojjAQhANxlexzeT6/6944PX3r0RrcVv7UEL4ON+86lA/Wv3v4+qMWubVW44/3L12/Uqqvr9cV4PMmEEJRSN79SQcF77wEVl/ON0FprjXHaAAAF4srSog1k5AGmowFms9F4sHqMWZs7wHkPyAX9xLQ7FHpM2waqHHiE+SLsVzxdpvbd7n41H7J4dVLQRqKK4Y7cv5x06jNTj0KljStMwRyXgUL0zjulQs45pQwdWOt0YcB5xhgVIhScGGaMcYVd6zRuOKO1LmYTpjx6IoRAdATBOguMw8/YT7tRzg2oSqVcjEdJMEVhTTyZiD7GTekiN9ydmV7Jdi+9PLn8chxWGtVaJYkYI0iQcIaUICFKKUIIOm+tnd/HAUYZY4wxgZ5QbozV2fDpJx+KKklqTL+3l+YlElBKcUIJOvCeAsDd5zOHQmscRjRPmJbCO2/zie33TckWptGCkSxOOKJb2TjtSfLaD3506bvPD3oHkZLtdjuOY8ZoEARREMwjwXtvrQWPH9zBYdSit3lWaMeDkGN54njnocefvLpzMJhMu/2htk4IEcWBYJQL9tNsh3d5K6uyc6QS1SsYkElZDmbbvaE4vnFktT0k9erx80uNiNn06PkvbD70zPbFH7xx8eKo1w8UqEAgolIiCkNvHTrwFr1F74EQRghDJMY4RWleeCBCMBQCfu3v/4Pbo2J/NN3e2cvS3DmnhHTefkBzt9KHxnRs8zVF10OmpZ7kmZlmRUk/88yF2gu3wZPa+nlUO1defelU0nj0555cXlu6srN3+9YtZJwHIUHitENCfGmMx3kXOd9r5wdxSEAxlnGWlqXwdpb5Zz/7uWTp2Nb+6EgjcIDGGEIgm6UA3qKXd4t7qNLl1QOReh5WJvX6dS5uQDyWy6c+8ytgWMSZsbzzyC+snX5kePVHF1/8k+nS6QcfOFGm2c72LWMMpTSdzSajsdY6z/OyLN0dCwA457PpNAwjg9R7PxxPHYGVjVODWa6UCsOYEEIQsyz7RLZPVhoR93rvnGwlQ0pjL1sIWYTLnaM+iW3lKBfF8NrFFQWPPvfZ999qTW/1Id3eG8/SvKTlkBCx2G5LGXhOCRGKpdo44x1DSQnhhHEkxEMp21zvB4YOxwQFYc5M9gdhe6VZi8CbBVl9eziTZ+rgeGRcGdx16nhoeGhrrLXGGKq84sIgzI8NKVdhIHr9wXf/7HtHn3hkvb3cZDGpVnnc8IhlaQqjJ+NxUgGupPc+CAPG530r4ZQRnJ97oDEmDJEyoeJKXtp0MBz39hcWVCVOBJfGeg+ECwXkE26yHAo939i993OHAPNiPBrkeS6iCp1k5x4+f+3G7muvXLyhoiPt1fVWnQslhBDCkTQFRjnnknGLFpFQyimlHgH9/IabJ+AVAW+NcSHyQDvY3d0txoO1jWNRFAohdGEtkKhaA0KAfhzyUGjnwXlAADo3JaybzEbpdDLKcsnE0sp6d1Q8e+IE8e721u03f/LK5umHENF5IIxKKcu8QOcJo2VWMiqAMvSAiIwSTighRDDM0mmBIi0t8Mbe9rZCu1RVnHPCWakL7X3SaABQYODvNiAPn8Z1meYZIgghwjAMlQB0DKHebh/s9JBxQ0h/v08pP3fhQrvV+eAWGSFWmzRN8zS11nLKwML89t88C733BDyAL3Q5zVJEzPNcUnLtvUuRgIQTwTkAnRZFrn1cqwGhAAD+Z7MQEEia5lprQhinjFOG1hV5atATh6PJ2AuxUFtAoNu9fp7pfvcArYuiSHCOzhNCBGMUQCklpRRUEEIIAkVARLRummnGZbVajSSjrty6eqUWBQFnUkptzHgy0wDVZnt++MLvjpBDoaMoysuyKApv3dwjtKacjScgiGCEclZrt7a2bkkVLR49Flbq/V6v1+tNhiNjDAA4Y/M8T9PUOQTnEXHubwCAc0abwlJRqTYCxSuS2dlodLDTqFbmLVeapqNZGsZJZ3Vtblh9bB0KraLQWltaMydWQnLKvHVC8CydXt+62WovhmGcadOfTtePHj9y5AhnLE1TAAiDgBDijCWEZFk2L9XzYdZ7O09uKkIVxqYowepsMrJFEYcRJXweMFrrpFqNm00AcMZ/rHp8MjQhZGVx+aYmwhLr0pQq7giQsrQsJA3WrO9sXxNZudBZLSa+zWIb2LhRk0nElJRKBeHcSNCjwShLzWya50VGuQsUYRScRp1jo16zPs7dlIuJGWXlYLLYkEKo0lCVZcNiuvDEM0AibidM5uXPAg0AcSWxDrXWZZ5TSgkT2oFFSlrtaq0Fkzzt7tc6jTGYm7u7ZmKaC4trq+srK2tCqOl0lqYZAAQqslZLKZMkETLQ1mfaAWUqrjgDpsycLbLZtMinHJwKpAiUos4DehE8dOFJ5xGYMtp+rGk6FHrt6KZFP/+yjDEAYoEUnuZJY33jFE3LV3/wAyR245EHo9rCjes7O7vdWVogEATikSBQj6Q0eqHRkIpzJqIokSqyzjtCk3qDMeNczhg1JvXZlKORlBDKUM/2B5PKyvHjZ89rZEAE5epjhfnQOv3Aww9TFU7zYpVSCqR0yIPIECbDBbGkG8u72pp01KtVFpqL7TisjPo75XjinPMOhBBJkoRhyBgTAY2iSHvXH4ydc3Fc44wNR5NawnQxCyNKTWmzUUAcAwSgrkx3R+nTv/QcJDVGobAYcAl4V6N3KPTaiTOVxeXJdIcxht6WZVmp1pGKwKsZF3K13eRi/9pWqFrJ6rpZ4G2+nKZpWZac8yiKlFKcc8YY4ziaTAptkAAlvCxLz3kYcNRpkaWMyjJLU71fFaAEZVweTKdYXTz/7Ffmd+CsQ+AMrIE7LgIfCi3rneNnzw9euJLneWydNWWlscQEp9YXuUYp663Fwd41pg1xOtOzZhhTwSsAQghKwRijnQYHvrCzLCeEVKp1wanVZSjpQiOZHsyUlIwJkxfj9PbRRAac5Lq8sdtfOfuFypGTCCDAUsURgMBdUX34jgj0ic9+vrA4HIwRHXg3Vw65d7oMPG0ttNsbR7vFtNfbWYmUQ085A0qyIp3MpsZpLpkK5Xg6azabnc6y0brI8nqSSGJvvv9enhZhUAlkZPNyuL/XqsWcQLd3MDLksee+ajn1viRYsLnVe/dR0aFKG4Czj1z4FiHT6ZQCAY/oLQBMXBYrdbA1fVdfYp22SCqz8Sh95ZZaeyCOYyn5XOkgCBB8URRHjq5naeGKolaruLK4ef1Kr7tr8tlSa7W5tIiCmVLn00l1MyTgB4NBtdk5+/TnCwDmHWOW3N11HAo97wRrHmoPPGxOnN3av/bQsKuSwheTq1evF91o/di5rdH4YHoTr2wdWXlksbMyjQPcvb2fpmFcEUFYX2z293txJZFK2qKQxDtr0v7EW1OJq3JFjUaj7o2tSzduHzt/KjKzR6ip1Ko3/GTavbn5D/81MBoYAzxCEuXahJJadxfo4a0pBRLz9eObN95+dTrznrAJkO+/+ObNS6TGk8dOnpvkzWG3N+nPJmS4ttk8CMOqW7DGT7IinfQYY2XufepFniFCmuZShVIGXErrsd1ePn/i3Gu9q750Mp0+/GAQFGM74DnhJ06dAsEAAQEByLx88ru1PjSmx2YKjJx95Hzp6GBcIAkYD7d3uy7b3rt1RZdGqsapcxdWjm2mutjeuVVOU18azHNWajeasHHuD8bYnQ4n3XE27k+HvclomGclQQhk3GykQrY6x5d091y8s7qcuIKSmX7w7IXjp08CofNRkgBw9gnT+KFKK6HAw7GNk87S3e3dRm05ULqcbAdhNamyzJSjbJah9ZLIaqjq1PRMlo+N1gwIBeLR1pJarVa/TeMwSFaDxFkIJA8DxRmWZTbq7blpc3Hn9c8dm4Xx8v7tdDB+9+cf+hUi1bzbIYQAguAMPAD52eq0BAkejm+eDpIKgKV+CrPtKy9f2dPrVbY52kNeZddmA8WSsrRmIYzra0GQLC7FURICJd1er1dmB+P8yOp6kebNuJqlU90f7A5uR8zs3Hq/TvQrF/Xa7Aef+YKdqHw63sNERQ8/jQDGeSUkIHjnKGNAAf1dJsLhk0thmBftjc241ZnaaTYbH1tpbtbk7CYv390el91Hf+7BRtGLQ3r5/d0D63bkTSpABCRpxDzkYSUOVKiC0F++/P7b771nIR9PfTbWk70T680qN0eabJAUsvGZVw5GVP8QetdPfuU340eecoCccwCYOw+UMSDzk3ryN0PLgKEFz0Xn1IOXvvedVhg8uBJ+9ed+YQzoLQ10Lmc7k4N3q82T+qDHVENMelKRUo+X5NHJXr/aqI2ns6BSz1zK9vYH/VkcVZNA1lcXjq/Uz5w6BsJdeJpdOVi+eqU727qcTKOnHvpszIAgMkIBgVDKCZmnoyfkztA+vHqAKYnSYJ/5ylff/fGLs7x445XL40Ycrj7gdXO1Wl3dgMyiqvoSSu9dyHXu9Wi2//jCZjGbhUz2Jzv1hhqb7XPnOpO0ceTo6ShKGDP97vUidD+6sXvGT7/7l9/a4w9HxWYr7v56JVA5aI5MfBgYhHjvkFEAvLNm/H/FUJdsYJGF/wAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=60x80>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}