Image_Scraper_(DuckDuckGo).ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ONIqIEu7VyT4"
      },
      "source": [
        "# DuckDuckGo Image Scraper\n",
        "\n",
        "This was originally an image scraper notebook for creating deep learning datasets.\n",
        "\n",
        "It has since been turned into an installable library and is much easier to use as you can simply drop a few lines of code into your own notebook as you're experimenting.\n",
        "\n",
        "This notebook now shows you how to use the library.\n",
        "\n",
        "Docs are at [joedockrill.github.io/jmd_imagescraper/](https://joedockrill.github.io/jmd_imagescraper/)\n",
        "\n",
        "Hugs & kisses, Joe Dockrill."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tTCCj9TS0WVY"
      },
      "source": [
        "## Install\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EYwHbopFG63A",
        "outputId": "238fa08d-d36f-4a71-a33c-341f163f8c24",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!pip install -q jmd_imagescraper"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for bs4 (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IMbb_349LcgA"
      },
      "source": [
        "## Download images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZpLinvRTLjCk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "e8da8fa5-33d8-4cbb-fef4-7ce3e0987fc9"
      },
      "source": [
        "from pathlib import Path\n",
        "root = Path().cwd()/\"images\"\n",
        "\n",
        "from jmd_imagescraper.core import * # dont't worry, it's designed to work with import *\n",
        "\n",
        "duckduckgo_search(root, \"Angry\", \"angry expression of human face\", max_results=70)\n",
        "duckduckgo_search(root, \"Happy\", \"happy  expression of human face\", max_results=70)\n",
        "duckduckgo_search(root, \"Sad\", \"sad  expression of human face\", max_results=70)\n",
        "duckduckgo_search(root, \"Neutral\", \"neutral  expression of human face\", max_results=70)\n",
        "\n",
        "# file paths are returned so if you want to snag a list of downloaded files as you go, do this:\n",
        "\n",
        "# images = []\n",
        "# images.extend(duckduckgo_search(root, \"Cats\", \"cute kittens\", max_results=10))\n",
        "# images.extend(duckduckgo_search(root, \"Dogs\", \"cute puppies\", max_results=10))\n",
        "# images.extend(duckduckgo_search(root, \"Birds\", \"cute baby ducks and chickens\", max_results=10))\n",
        "# images"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: angry expression of human face\n",
            "Downloading results into /content/images/Angry\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='70' class='' max='70' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [70/70 00:12&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: happy  expression of human face\n",
            "Downloading results into /content/images/Happy\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='70' class='' max='70' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [70/70 00:12&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: sad  expression of human face\n",
            "Downloading results into /content/images/Sad\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='70' class='' max='70' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [70/70 00:12&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: neutral  expression of human face\n",
            "Downloading results into /content/images/Neutral\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='70' class='' max='70' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [70/70 00:13&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[PosixPath('/content/images/Neutral/071_b9cd70cb.jpg'),\n",
              " PosixPath('/content/images/Neutral/072_f975911b.jpg'),\n",
              " PosixPath('/content/images/Neutral/073_f9117d6c.jpg'),\n",
              " PosixPath('/content/images/Neutral/074_c4176952.jpg'),\n",
              " PosixPath('/content/images/Neutral/075_0e9366d3.jpg'),\n",
              " PosixPath('/content/images/Neutral/076_2f4181d3.jpg'),\n",
              " PosixPath('/content/images/Neutral/077_66849ddb.jpg'),\n",
              " PosixPath('/content/images/Neutral/078_8ad9b38f.jpg'),\n",
              " PosixPath('/content/images/Neutral/079_1de30716.jpg'),\n",
              " PosixPath('/content/images/Neutral/080_e7c5867f.jpg'),\n",
              " PosixPath('/content/images/Neutral/081_f3f3a8f1.jpg'),\n",
              " PosixPath('/content/images/Neutral/082_d963b897.jpg'),\n",
              " PosixPath('/content/images/Neutral/083_2c6f2eec.jpg'),\n",
              " PosixPath('/content/images/Neutral/084_ccdb7177.jpg'),\n",
              " PosixPath('/content/images/Neutral/085_d69f0ae9.jpg'),\n",
              " PosixPath('/content/images/Neutral/086_57219f5c.jpg'),\n",
              " PosixPath('/content/images/Neutral/087_ee149353.jpg'),\n",
              " PosixPath('/content/images/Neutral/088_7c47f635.jpg'),\n",
              " PosixPath('/content/images/Neutral/089_bc041ad8.jpg'),\n",
              " PosixPath('/content/images/Neutral/090_d26864cf.jpg'),\n",
              " PosixPath('/content/images/Neutral/091_9101654f.jpg'),\n",
              " PosixPath('/content/images/Neutral/092_ca547033.jpg'),\n",
              " PosixPath('/content/images/Neutral/093_8053dbed.jpg'),\n",
              " PosixPath('/content/images/Neutral/094_7994d628.jpg'),\n",
              " PosixPath('/content/images/Neutral/095_b3711876.jpg'),\n",
              " PosixPath('/content/images/Neutral/096_103fd2ab.jpg'),\n",
              " PosixPath('/content/images/Neutral/097_9d3c9dd7.jpg'),\n",
              " PosixPath('/content/images/Neutral/098_3ef90924.jpg'),\n",
              " PosixPath('/content/images/Neutral/099_76289cd0.jpg'),\n",
              " PosixPath('/content/images/Neutral/100_ab163557.jpg'),\n",
              " PosixPath('/content/images/Neutral/101_6bfcdd0b.jpg'),\n",
              " PosixPath('/content/images/Neutral/102_3bb2d2f1.jpg'),\n",
              " PosixPath('/content/images/Neutral/103_9e7d2f0a.jpg'),\n",
              " PosixPath('/content/images/Neutral/104_b702dfea.jpg'),\n",
              " PosixPath('/content/images/Neutral/105_84920399.jpg'),\n",
              " PosixPath('/content/images/Neutral/106_7e4afed0.jpg'),\n",
              " PosixPath('/content/images/Neutral/107_0c17c5a0.jpg'),\n",
              " PosixPath('/content/images/Neutral/108_212ff632.jpg'),\n",
              " PosixPath('/content/images/Neutral/109_28e08125.jpg'),\n",
              " PosixPath('/content/images/Neutral/110_e02caaeb.jpg'),\n",
              " PosixPath('/content/images/Neutral/111_3602816c.jpg'),\n",
              " PosixPath('/content/images/Neutral/112_eed6a077.jpg'),\n",
              " PosixPath('/content/images/Neutral/113_d69ccce2.jpg'),\n",
              " PosixPath('/content/images/Neutral/114_da45094f.jpg'),\n",
              " PosixPath('/content/images/Neutral/115_b545e4d6.jpg'),\n",
              " PosixPath('/content/images/Neutral/116_aa02468e.jpg'),\n",
              " PosixPath('/content/images/Neutral/117_548de098.jpg'),\n",
              " PosixPath('/content/images/Neutral/118_60d1302f.jpg'),\n",
              " PosixPath('/content/images/Neutral/119_67edd693.jpg'),\n",
              " PosixPath('/content/images/Neutral/120_7b6365e4.jpg'),\n",
              " PosixPath('/content/images/Neutral/121_0e1f5aa2.jpg'),\n",
              " PosixPath('/content/images/Neutral/122_8c35ea33.jpg'),\n",
              " PosixPath('/content/images/Neutral/123_24336098.jpg'),\n",
              " PosixPath('/content/images/Neutral/124_6e5d8010.jpg'),\n",
              " PosixPath('/content/images/Neutral/125_e7f8df12.jpg'),\n",
              " PosixPath('/content/images/Neutral/126_2dba2c00.jpg'),\n",
              " PosixPath('/content/images/Neutral/127_7aa09bcf.jpg'),\n",
              " PosixPath('/content/images/Neutral/128_f9c3ff5b.jpg'),\n",
              " PosixPath('/content/images/Neutral/129_eb81c1a8.jpg'),\n",
              " PosixPath('/content/images/Neutral/130_0420f832.jpg'),\n",
              " PosixPath('/content/images/Neutral/131_a078c68b.jpg'),\n",
              " PosixPath('/content/images/Neutral/132_10a95d63.jpg'),\n",
              " PosixPath('/content/images/Neutral/133_c2fefc83.jpg'),\n",
              " PosixPath('/content/images/Neutral/134_a036993c.jpg'),\n",
              " PosixPath('/content/images/Neutral/135_dfdb5a43.jpg'),\n",
              " PosixPath('/content/images/Neutral/136_c613bf5f.jpg'),\n",
              " PosixPath('/content/images/Neutral/137_d4ec491b.jpg'),\n",
              " PosixPath('/content/images/Neutral/138_49029509.jpg'),\n",
              " PosixPath('/content/images/Neutral/139_c632cd7f.jpg'),\n",
              " PosixPath('/content/images/Neutral/140_02fa3556.jpg')]"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MMYX3LJ4MR4t"
      },
      "source": [
        "## Changing params across multiple searches"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8vw7K4ULGz-8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "2f93f2bc-93a4-4fad-d5fb-72fe87d2dcb2"
      },
      "source": [
        "from pathlib import Path\n",
        "root = Path().cwd()/\"images\"\n",
        "\n",
        "from jmd_imagescraper.core import *\n",
        "\n",
        "# If you're going to override default params across multiple searches you can use a\n",
        "# dictionary like this (so you can change search params for the entire dataset once).\n",
        "\n",
        "params = {\n",
        "    \"max_results\": 80,             # this can go up to 477 at the time of writing\n",
        "    \"img_size\":    ImgSize.Cached,\n",
        "    \"img_type\":    ImgType.Photo,\n",
        "    \"img_layout\":  ImgLayout.Square,\n",
        "    #\"img_color\":   ImgColor.Purple\n",
        "}\n",
        "\n",
        "duckduckgo_search(root, \"Angry\", \"angry expression of human face\", **params)\n",
        "duckduckgo_search(root, \"Happy\", \"happy  expression of human face\", **params)\n",
        "duckduckgo_search(root, \"Sad\", \"sad  expression of human face\", **params)\n",
        "duckduckgo_search(root, \"Neutral\", \"neutral  expression of human face\", **params)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: angry expression of human face\n",
            "Downloading results into /content/images/Angry\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='80' class='' max='80' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [80/80 00:13&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: happy  expression of human face\n",
            "Downloading results into /content/images/Happy\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='80' class='' max='80' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [80/80 00:14&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: sad  expression of human face\n",
            "Downloading results into /content/images/Sad\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='80' class='' max='80' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [80/80 00:14&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Duckduckgo search: neutral  expression of human face\n",
            "Downloading results into /content/images/Neutral\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "    /* Turns off some styling */\n",
              "    progress {\n",
              "        /* gets rid of default border in Firefox and Opera. */\n",
              "        border: none;\n",
              "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "        background-size: auto;\n",
              "    }\n",
              "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
              "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
              "    }\n",
              "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "        background: #F44336;\n",
              "    }\n",
              "</style>\n"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "    <div>\n",
              "      <progress value='80' class='' max='80' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      100.00% [80/80 00:14&lt;00:00 Images downloaded]\n",
              "    </div>\n",
              "    "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[PosixPath('/content/images/Neutral/001_e4e742ea.jpg'),\n",
              " PosixPath('/content/images/Neutral/002_abb93047.jpg'),\n",
              " PosixPath('/content/images/Neutral/003_e5105c63.jpg'),\n",
              " PosixPath('/content/images/Neutral/004_87d80635.jpg'),\n",
              " PosixPath('/content/images/Neutral/005_37a55323.jpg'),\n",
              " PosixPath('/content/images/Neutral/006_9113b4b4.jpg'),\n",
              " PosixPath('/content/images/Neutral/007_bd08ff72.jpg'),\n",
              " PosixPath('/content/images/Neutral/008_42c760e8.jpg'),\n",
              " PosixPath('/content/images/Neutral/009_d74a8f82.jpg'),\n",
              " PosixPath('/content/images/Neutral/010_d73ef529.jpg'),\n",
              " PosixPath('/content/images/Neutral/011_ee91d69f.jpg'),\n",
              " PosixPath('/content/images/Neutral/012_284908ba.jpg'),\n",
              " PosixPath('/content/images/Neutral/013_f667e152.jpg'),\n",
              " PosixPath('/content/images/Neutral/014_6f94238c.jpg'),\n",
              " PosixPath('/content/images/Neutral/015_ce4c4c33.jpg'),\n",
              " PosixPath('/content/images/Neutral/016_413457f2.jpg'),\n",
              " PosixPath('/content/images/Neutral/017_ffaf6427.jpg'),\n",
              " PosixPath('/content/images/Neutral/018_f5a1d53a.jpg'),\n",
              " PosixPath('/content/images/Neutral/019_fbb732cb.jpg'),\n",
              " PosixPath('/content/images/Neutral/020_edc56eff.jpg'),\n",
              " PosixPath('/content/images/Neutral/021_be45cb9c.jpg'),\n",
              " PosixPath('/content/images/Neutral/022_d60ea18f.jpg'),\n",
              " PosixPath('/content/images/Neutral/023_ac16a6c3.jpg'),\n",
              " PosixPath('/content/images/Neutral/024_f9b8f898.jpg'),\n",
              " PosixPath('/content/images/Neutral/025_df69c6b7.jpg'),\n",
              " PosixPath('/content/images/Neutral/026_cde05349.jpg'),\n",
              " PosixPath('/content/images/Neutral/027_fffe75ae.jpg'),\n",
              " PosixPath('/content/images/Neutral/028_913e15d1.jpg'),\n",
              " PosixPath('/content/images/Neutral/029_c563f6a4.jpg'),\n",
              " PosixPath('/content/images/Neutral/030_8d548739.jpg'),\n",
              " PosixPath('/content/images/Neutral/031_63ea677f.jpg'),\n",
              " PosixPath('/content/images/Neutral/032_997b67a4.jpg'),\n",
              " PosixPath('/content/images/Neutral/033_478299a2.jpg'),\n",
              " PosixPath('/content/images/Neutral/034_a61e8eea.jpg'),\n",
              " PosixPath('/content/images/Neutral/035_31e79b25.jpg'),\n",
              " PosixPath('/content/images/Neutral/036_1de818fa.jpg'),\n",
              " PosixPath('/content/images/Neutral/037_321ed7d4.jpg'),\n",
              " PosixPath('/content/images/Neutral/038_1b525c2f.jpg'),\n",
              " PosixPath('/content/images/Neutral/039_15d4d0f2.jpg'),\n",
              " PosixPath('/content/images/Neutral/040_3fe02bfc.jpg'),\n",
              " PosixPath('/content/images/Neutral/041_4d0ab563.jpg'),\n",
              " PosixPath('/content/images/Neutral/042_1a4771a0.jpg'),\n",
              " PosixPath('/content/images/Neutral/043_6aaf0308.jpg'),\n",
              " PosixPath('/content/images/Neutral/044_89798610.jpg'),\n",
              " PosixPath('/content/images/Neutral/045_6397b444.jpg'),\n",
              " PosixPath('/content/images/Neutral/046_3f11bb97.jpg'),\n",
              " PosixPath('/content/images/Neutral/047_6e56d292.jpg'),\n",
              " PosixPath('/content/images/Neutral/048_3530a7e2.jpg'),\n",
              " PosixPath('/content/images/Neutral/049_0296c05c.jpg'),\n",
              " PosixPath('/content/images/Neutral/050_1828610f.jpg'),\n",
              " PosixPath('/content/images/Neutral/051_74e4fd86.jpg'),\n",
              " PosixPath('/content/images/Neutral/052_213227fd.jpg'),\n",
              " PosixPath('/content/images/Neutral/053_5f41b158.jpg'),\n",
              " PosixPath('/content/images/Neutral/054_0e83e48c.jpg'),\n",
              " PosixPath('/content/images/Neutral/055_c6c3b210.jpg'),\n",
              " PosixPath('/content/images/Neutral/056_165993bd.jpg'),\n",
              " PosixPath('/content/images/Neutral/057_4302b370.jpg'),\n",
              " PosixPath('/content/images/Neutral/058_eae1c0d4.jpg'),\n",
              " PosixPath('/content/images/Neutral/059_3fcc55a0.jpg'),\n",
              " PosixPath('/content/images/Neutral/060_e81ee85c.jpg'),\n",
              " PosixPath('/content/images/Neutral/061_bcf31811.jpg'),\n",
              " PosixPath('/content/images/Neutral/062_658862cb.jpg'),\n",
              " PosixPath('/content/images/Neutral/063_a8d39bfa.jpg'),\n",
              " PosixPath('/content/images/Neutral/064_7eca5fa6.jpg'),\n",
              " PosixPath('/content/images/Neutral/065_d3e05ca9.jpg'),\n",
              " PosixPath('/content/images/Neutral/066_494c3b72.jpg'),\n",
              " PosixPath('/content/images/Neutral/067_5dcaad9d.jpg'),\n",
              " PosixPath('/content/images/Neutral/068_21039374.jpg'),\n",
              " PosixPath('/content/images/Neutral/069_1381e263.jpg'),\n",
              " PosixPath('/content/images/Neutral/070_4069c04d.jpg'),\n",
              " PosixPath('/content/images/Neutral/071_b29eb9bc.jpg'),\n",
              " PosixPath('/content/images/Neutral/072_a059abad.jpg'),\n",
              " PosixPath('/content/images/Neutral/073_7f408772.jpg'),\n",
              " PosixPath('/content/images/Neutral/074_0c17e64a.jpg'),\n",
              " PosixPath('/content/images/Neutral/075_335768a6.jpg'),\n",
              " PosixPath('/content/images/Neutral/076_572b0bbe.jpg'),\n",
              " PosixPath('/content/images/Neutral/077_4e13d2d3.jpg'),\n",
              " PosixPath('/content/images/Neutral/078_d74e48cf.jpg'),\n",
              " PosixPath('/content/images/Neutral/079_277ebe9b.jpg'),\n",
              " PosixPath('/content/images/Neutral/080_cb9bfc56.jpg')]"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wlqGB5jtNWgs"
      },
      "source": [
        "## Deleting all images"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3jSRRz9jNVi0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "outputId": "eae48332-125f-4507-c1d8-96ce2b1ff33c"
      },
      "source": [
        "rmtree(root)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AssertionError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-19-dbf566c182bb>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mrmtree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mroot\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/jmd_imagescraper/core.py\u001b[0m in \u001b[0;36mrmtree\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mrmtree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    148\u001b[0m     \u001b[0;34m'''Recursively delete a directory tree'''\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 149\u001b[0;31m     \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m \u001b[0;32massert\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_dir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    150\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mreversed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'**/*'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    151\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munlink\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAssertionError\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "W2IKoyz-NvFq"
      },
      "source": [
        "## Displaying the image cleaner\n",
        "\n",
        "Use this to get rid of unsuitable images without leaving your notebook"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZWwjDsJDOGrO",
        "cellView": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591,
          "referenced_widgets": [
            "6d9ab69ea7244115b60b14226068cd5d",
            "0a70dd344bca44d4975469cf3170b1c6",
            "4bf4d6cdbc3d4cc1a2d820918770621d",
            "9adb198ffaa84cda974fad5f6c1ef007",
            "65f3d70d9bbd4754b832e04adcd8203a",
            "e34872bd8695439ebdf8021e9a45d44f",
            "f14306e71f6a47e1aba6db13de4b927d",
            "a17e9081d6e04c08bd92f25264cc026b",
            "aa3eded3dbf24168b1c9484c1832b1a7",
            "a1b324c11eef4384abe3c809f023b55c",
            "69e8657062e7454da9d99830ef731bb7",
            "80215241fe6b45fbb1b237113ef6c901",
            "8b1d08a80f334121ba21c29ce641b1ad",
            "bf50c6095a6a47c5aec540e6e271d18c",
            "b6b2668bf3264936a27d47b8821eb650",
            "91e2f04e9f844132931c26c76094324a",
            "72c865f66f9a49eca6513fb9e02e0fc5",
            "4b0ced22041443d6916ea1a9138b8295",
            "1147c50d02b14eadbe0334dff6f955b5",
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            "b894739e250d40f8a268aab7518000a7",
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            "5ce1a61708434d8c9eb8875900052778",
            "ceaefe3a891d4b54a02fe6707ea427ba",
            "96af41391a08436095d6be79b632f9c9",
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            "0a9110626587442ebd145ebfd4015dd5",
            "b09ba97e748f4e8cad53ad823ed53948",
            "34ad5078a8464d198cbe1998f9ad4f6a",
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            "542fdda4a2b04a839bbb098cc9a1d054",
            "6b081e737e3b403f85e45ee36b86a838",
            "e42a8c6766234d8dbde1d512584d53d8",
            "af62100ebc5b4e82ad0f6c9b849da033",
            "2cbf9f2cfd5b4a048483c5a30f4e78c1",
            "a5a4ee5fa62746eaa58c3e8cd4485613",
            "4bc2a66c61af4710ab3ad4fdb36b8c03",
            "3cb41a502e414ab7833409b9ed874ea2",
            "77ca03c6d1e140879da05e53b08f9d82",
            "e6ec960f90944e7b8e31b09569f28498",
            "e9d82b3f9ba14a85ad7e32703c9a8957",
            "c128d9e15f664936b0c368c9d178a3c2",
            "430c3e67c60d408a8a8ca404dd6ee444",
            "054ec432f958489790cfdd3bd39410b5",
            "cc195f12ab1e452082b7b9472fabd34a",
            "4002aafbaa314b0188a4b558a4ed2470",
            "65213b4c7efb4b4cafbdfcb87e806603",
            "2f172dfd488a40628aef4e457db9eb79",
            "7f7b79bd371a4aa29790cc046d0e5187",
            "7c55c8eff4984561a4204c1afc3d2ae1",
            "9d2ea229a8ee4a718f2fa572a5287644",
            "d3fbdde99e2f4a7191798835706247b6",
            "929b939f5b59499cbd52980eb9a5654a",
            "78c9be5dddb14f8eaf470c3bcd16dac0",
            "7eea97f3cea44b4cb8278dcd0c05094a",
            "d089b35a08134d7fbaceee124be08a70",
            "8a7cca9025bc499c818aee4361ac2f6f",
            "0ad14c10099144578dae19414c38aa44",
            "207d4c7a5b854db99f5154b2ea15dd05",
            "c44ff0c2b6594238aa8cfadb5fe28867",
            "c20b0b52600f467e9769b1a437e91e70",
            "b8cd6d08eb6743eda7246db1fc6e9a4d",
            "cefe0eb1b92c4d0ca6e9ac1f87d2f1d7",
            "fd27374e9fdf426fb3652146e6bc51c0",
            "1c87d79764524755bdb33bd0526a8668",
            "7882299d8c4c4ca399425ae0d1a0172e",
            "8ed3bca9b221486fbb374c6e364f7f42",
            "079dd2934ca94424b5cad3bdb4503cc4",
            "9cba4145598347e5a8dbcaeb61bfca34",
            "6d29c62c9bfd4251b0a62eae60a17d12",
            "cb9e5bc1da2e4a5b9ee8dab62014b7fa"
          ]
        },
        "outputId": "9bbbe54b-4731-4d6d-dfac-4fb4191a0e34"
      },
      "source": [
        "from jmd_imagescraper.imagecleaner import *\n",
        "\n",
        "display_image_cleaner(root)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HBox(children=(Button(description='|<<', layout=Layout(width='60px'), style=ButtonStyle()), Button(description…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6d9ab69ea7244115b60b14226068cd5d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "HTML(value='<h2>No images left to display in this folder.</h2>', layout=Layout(visibility='hidden'))"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "0dde3f8908884e9092d8c8c84745f6dc"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "GridBox(children=(VBox(children=(Image(value=b'', layout=\"Layout(width='150px')\"), Button(description='Delete'…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "de40267602a443f8978a46e3ac7cb1a0"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "error",
          "ename": "FileNotFoundError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-21-f9ff279dcb0c>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mjmd_imagescraper\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimagecleaner\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mdisplay_image_cleaner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mroot\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/jmd_imagescraper/imagecleaner.py\u001b[0m in \u001b[0;36mdisplay_image_cleaner\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m    187\u001b[0m     \u001b[0micln_create_widgets\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mICLN_BATCH_SZ\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    188\u001b[0m     \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mddlFolder\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0micln_pager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchildren\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 189\u001b[0;31m     \u001b[0micln_render_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mddlFolder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/jmd_imagescraper/imagecleaner.py\u001b[0m in \u001b[0;36micln_render_batch\u001b[0;34m(folder, batch, force_reload)\u001b[0m\n\u001b[1;32m    162\u001b[0m       \u001b[0mbtn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisabled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m       \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"rb\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    165\u001b[0m       \u001b[0mbtn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtag\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbatch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m       \u001b[0mbtn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisabled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/content/images/Angry/105_c346d560.jpg'"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H6KTdjEY0Fix"
      },
      "source": [
        "## Create a zip to download or transfer to google drive"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O8CT2yVzfZXb"
      },
      "source": [
        "# create zip\n",
        "\n",
        "ZIP_NAME = \"images.zip\" # maybe change this?\n",
        "\n",
        "!rm -f {ZIP_NAME}\n",
        "!zip -q -r {ZIP_NAME} {root}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rmnndlPN1yTY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "604cf06c-0bd6-4202-c1a4-41ba5d158302"
      },
      "source": [
        "# download to your local system\n",
        "\n",
        "from google.colab import files\n",
        "files.download(ZIP_NAME)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_40fc7c7f-ab82-4d8c-8b2a-b76aefea8676\", \"images.zip\", 8662742)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-BfkU4_u2kdp"
      },
      "source": [
        "# copy to google drive\n",
        "\n",
        "from google.colab import drive\n",
        "import shutil\n",
        "\n",
        "DESTINATION_FOLDER = \"Datasets\" # where would you like this in Google Drive?\n",
        "\n",
        "drive.mount(\"/content/drive\")\n",
        "folder = Path(\"/content/drive/My Drive\")/DESTINATION_FOLDER\n",
        "folder.mkdir(parents=True, exist_ok=True)\n",
        "\n",
        "shutil.copyfile(ZIP_NAME, str(folder/ZIP_NAME))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pvM0imifGwOY"
      },
      "source": [
        "## Create a CSV file of URLs\n",
        "\n",
        "If you'd rather distribute a file with the image URLs and labels and have people download the images themselves you can do so here."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q_VQvB9KG0v-"
      },
      "source": [
        "CSV_NAME = \"images.csv\" # maybe change this?\n",
        "\n",
        "!rm -f {CSV_NAME}\n",
        "\n",
        "csv = Path.cwd()/CSV_NAME\n",
        "save_urls_to_csv(csv, \"Nice\", \"nice clowns\", max_results=5)\n",
        "save_urls_to_csv(csv, \"Scary\", \"scary clowns\", max_results=5)"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}