bear_classifier_binder.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "bear_classifier_binder.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOIKiXGVOiKYK3NGZlcoUP7",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "widgets": {
      "application/vnd.jupyter.widget-state+json": {
        "5becdf56bef14894adfe62fbbd311f44": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "VBoxModel",
          "state": {
            "_view_name": "VBoxView",
            "_dom_classes": [],
            "_model_name": "VBoxModel",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "box_style": "",
            "layout": "IPY_MODEL_1a13c2e4f4f74bdca12aa551e2616007",
            "_model_module": "@jupyter-widgets/controls",
            "children": [
              "IPY_MODEL_d1d090770a7b41ee9f1e65781f02654d",
              "IPY_MODEL_1c60ee51c2724caabf1acc53380abc93",
              "IPY_MODEL_04cf83c1f34542ffa9ec494b31ff0038",
              "IPY_MODEL_a8418fa37fdd45cda72ed7de3da377c7"
            ]
          }
        },
        "1a13c2e4f4f74bdca12aa551e2616007": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "d1d090770a7b41ee9f1e65781f02654d": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "LabelModel",
          "state": {
            "_view_name": "LabelView",
            "style": "IPY_MODEL_d372e421e21f467c858591657932fc72",
            "_dom_classes": [],
            "description": "",
            "_model_name": "LabelModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "Select your bear!",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_83dbc29dcf5b47feb2902d1fb967da47"
          }
        },
        "1c60ee51c2724caabf1acc53380abc93": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "FileUploadModel",
          "state": {
            "_view_name": "FileUploadView",
            "_counter": 0,
            "style": "IPY_MODEL_9c4771d62da94397a60dcb59844fcf49",
            "_dom_classes": [],
            "description": "Upload",
            "multiple": false,
            "_model_name": "FileUploadModel",
            "data": [],
            "button_style": "",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "accept": "",
            "_view_count": null,
            "disabled": false,
            "_view_module_version": "1.5.0",
            "error": "",
            "description_tooltip": null,
            "metadata": [],
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_84419ecedd16460bafee3a3391190ab7",
            "icon": "upload"
          }
        },
        "04cf83c1f34542ffa9ec494b31ff0038": {
          "model_module": "@jupyter-widgets/output",
          "model_name": "OutputModel",
          "state": {
            "_view_name": "OutputView",
            "msg_id": "",
            "_dom_classes": [],
            "_model_name": "OutputModel",
            "outputs": [],
            "_view_module": "@jupyter-widgets/output",
            "_model_module_version": "1.0.0",
            "_view_count": null,
            "_view_module_version": "1.0.0",
            "layout": "IPY_MODEL_1c2558098dc044878199bed355df921a",
            "_model_module": "@jupyter-widgets/output"
          }
        },
        "a8418fa37fdd45cda72ed7de3da377c7": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "LabelModel",
          "state": {
            "_view_name": "LabelView",
            "style": "IPY_MODEL_bc3e7f9ce16b40539016d377dc0c0e75",
            "_dom_classes": [],
            "description": "",
            "_model_name": "LabelModel",
            "placeholder": "​",
            "_view_module": "@jupyter-widgets/controls",
            "_model_module_version": "1.5.0",
            "value": "",
            "_view_count": null,
            "_view_module_version": "1.5.0",
            "description_tooltip": null,
            "_model_module": "@jupyter-widgets/controls",
            "layout": "IPY_MODEL_30ebd3b8d8e94d2e9281c1cba01cc1f5"
          }
        },
        "d372e421e21f467c858591657932fc72": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "83dbc29dcf5b47feb2902d1fb967da47": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "9c4771d62da94397a60dcb59844fcf49": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "ButtonStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "ButtonStyleModel",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "button_color": null,
            "font_weight": "",
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "84419ecedd16460bafee3a3391190ab7": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "bc3e7f9ce16b40539016d377dc0c0e75": {
          "model_module": "@jupyter-widgets/controls",
          "model_name": "DescriptionStyleModel",
          "state": {
            "_view_name": "StyleView",
            "_model_name": "DescriptionStyleModel",
            "description_width": "",
            "_view_module": "@jupyter-widgets/base",
            "_model_module_version": "1.5.0",
            "_view_count": null,
            "_view_module_version": "1.2.0",
            "_model_module": "@jupyter-widgets/controls"
          }
        },
        "30ebd3b8d8e94d2e9281c1cba01cc1f5": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        },
        "1c2558098dc044878199bed355df921a": {
          "model_module": "@jupyter-widgets/base",
          "model_name": "LayoutModel",
          "state": {
            "_view_name": "LayoutView",
            "grid_template_rows": null,
            "right": null,
            "justify_content": null,
            "_view_module": "@jupyter-widgets/base",
            "overflow": null,
            "_model_module_version": "1.2.0",
            "_view_count": null,
            "flex_flow": null,
            "width": null,
            "min_width": null,
            "border": null,
            "align_items": null,
            "bottom": null,
            "_model_module": "@jupyter-widgets/base",
            "top": null,
            "grid_column": null,
            "overflow_y": null,
            "overflow_x": null,
            "grid_auto_flow": null,
            "grid_area": null,
            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/desirajusantosh/DS/blob/master/bear_classifier_binder.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dH84fI-LD3QC",
        "outputId": "03b58ad1-0eb4-4d68-c5a0-6b510313272e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!pip install voila\n",
        "!pip install fastai>=2\n",
        "!pip install pillow<7\n",
        "!pip install packaging\n",
        "!pip install ipywidgets==7.5.1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: voila in /usr/local/lib/python3.6/dist-packages (0.2.4)\n",
            "Requirement already satisfied: jupyter-server<2.0.0,>=0.3.0 in /usr/local/lib/python3.6/dist-packages (from voila) (1.0.5)\n",
            "Requirement already satisfied: nbclient<0.6,>=0.4.0 in /usr/local/lib/python3.6/dist-packages (from voila) (0.5.1)\n",
            "Requirement already satisfied: nbconvert<7,>=6.0.0 in /usr/local/lib/python3.6/dist-packages (from voila) (6.0.7)\n",
            "Requirement already satisfied: jupyter-client<7,>=6.1.3 in /usr/local/lib/python3.6/dist-packages (from voila) (6.1.7)\n",
            "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (0.8.0)\n",
            "Requirement already satisfied: terminado>=0.8.3 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (0.9.1)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (1.5.0)\n",
            "Requirement already satisfied: jupyter-core>=4.4.0 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (4.6.3)\n",
            "Requirement already satisfied: traitlets>=4.2.1 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (4.3.3)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (0.2.0)\n",
            "Requirement already satisfied: tornado>=5.0 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (5.1.1)\n",
            "Requirement already satisfied: nbformat in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (5.0.8)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (2.11.2)\n",
            "Requirement already satisfied: pyzmq>=17 in /usr/local/lib/python3.6/dist-packages (from jupyter-server<2.0.0,>=0.3.0->voila) (19.0.2)\n",
            "Requirement already satisfied: async-generator in /usr/local/lib/python3.6/dist-packages (from nbclient<0.6,>=0.4.0->voila) (1.10)\n",
            "Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.6/dist-packages (from nbclient<0.6,>=0.4.0->voila) (1.4.2)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (0.6.0)\n",
            "Requirement already satisfied: testpath in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (0.4.4)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (3.2.1)\n",
            "Requirement already satisfied: jupyterlab-pygments in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (0.1.2)\n",
            "Requirement already satisfied: pygments>=2.4.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (2.6.1)\n",
            "Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (0.8.4)\n",
            "Requirement already satisfied: entrypoints>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (0.3)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert<7,>=6.0.0->voila) (1.4.3)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from jupyter-client<7,>=6.1.3->voila) (2.8.1)\n",
            "Requirement already satisfied: ptyprocess; os_name != \"nt\" in /usr/local/lib/python3.6/dist-packages (from terminado>=0.8.3->jupyter-server<2.0.0,>=0.3.0->voila) (0.6.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.2.1->jupyter-server<2.0.0,>=0.3.0->voila) (1.15.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.2.1->jupyter-server<2.0.0,>=0.3.0->voila) (4.4.2)\n",
            "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /usr/local/lib/python3.6/dist-packages (from nbformat->jupyter-server<2.0.0,>=0.3.0->voila) (2.6.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from jinja2->jupyter-server<2.0.0,>=0.3.0->voila) (1.1.1)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert<7,>=6.0.0->voila) (0.5.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert<7,>=6.0.0->voila) (20.4)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->bleach->nbconvert<7,>=6.0.0->voila) (2.4.7)\n",
            "/bin/bash: 7: No such file or directory\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (20.4)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from packaging) (1.15.0)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging) (2.4.7)\n",
            "Requirement already satisfied: ipywidgets==7.5.1 in /usr/local/lib/python3.6/dist-packages (7.5.1)\n",
            "Requirement already satisfied: traitlets>=4.3.1 in /usr/local/lib/python3.6/dist-packages (from ipywidgets==7.5.1) (4.3.3)\n",
            "Requirement already satisfied: ipython>=4.0.0; python_version >= \"3.3\" in /usr/local/lib/python3.6/dist-packages (from ipywidgets==7.5.1) (5.5.0)\n",
            "Requirement already satisfied: ipykernel>=4.5.1 in /usr/local/lib/python3.6/dist-packages (from ipywidgets==7.5.1) (4.10.1)\n",
            "Requirement already satisfied: widgetsnbextension~=3.5.0 in /usr/local/lib/python3.6/dist-packages (from ipywidgets==7.5.1) (3.5.1)\n",
            "Requirement already satisfied: nbformat>=4.2.0 in /usr/local/lib/python3.6/dist-packages (from ipywidgets==7.5.1) (5.0.8)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.3.1->ipywidgets==7.5.1) (0.2.0)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.3.1->ipywidgets==7.5.1) (1.15.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from traitlets>=4.3.1->ipywidgets==7.5.1) (4.4.2)\n",
            "Requirement already satisfied: pexpect; sys_platform != \"win32\" in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (4.8.0)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (50.3.2)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (0.7.5)\n",
            "Requirement already satisfied: simplegeneric>0.8 in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (0.8.1)\n",
            "Requirement already satisfied: pygments in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (2.6.1)\n",
            "Requirement already satisfied: prompt-toolkit<2.0.0,>=1.0.4 in /usr/local/lib/python3.6/dist-packages (from ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (1.0.18)\n",
            "Requirement already satisfied: tornado>=4.0 in /usr/local/lib/python3.6/dist-packages (from ipykernel>=4.5.1->ipywidgets==7.5.1) (5.1.1)\n",
            "Requirement already satisfied: jupyter-client in /usr/local/lib/python3.6/dist-packages (from ipykernel>=4.5.1->ipywidgets==7.5.1) (6.1.7)\n",
            "Requirement already satisfied: notebook>=4.4.1 in /usr/local/lib/python3.6/dist-packages (from widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (5.3.1)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.6/dist-packages (from nbformat>=4.2.0->ipywidgets==7.5.1) (4.6.3)\n",
            "Requirement already satisfied: jsonschema!=2.5.0,>=2.4 in /usr/local/lib/python3.6/dist-packages (from nbformat>=4.2.0->ipywidgets==7.5.1) (2.6.0)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (0.6.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.6/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets==7.5.1) (0.2.5)\n",
            "Requirement already satisfied: pyzmq>=13 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets==7.5.1) (19.0.2)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from jupyter-client->ipykernel>=4.5.1->ipywidgets==7.5.1) (2.8.1)\n",
            "Requirement already satisfied: terminado>=0.8.1 in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.9.1)\n",
            "Requirement already satisfied: nbconvert in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (6.0.7)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (1.5.0)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (2.11.2)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (3.2.1)\n",
            "Requirement already satisfied: jupyterlab-pygments in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.1.2)\n",
            "Requirement already satisfied: mistune<2,>=0.8.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.8.4)\n",
            "Requirement already satisfied: entrypoints>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.3)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.6.0)\n",
            "Requirement already satisfied: testpath in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.4.4)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (1.4.3)\n",
            "Requirement already satisfied: nbclient<0.6.0,>=0.5.0 in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.5.1)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from jinja2->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (1.1.1)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (20.4)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (0.5.1)\n",
            "Requirement already satisfied: nest-asyncio in /usr/local/lib/python3.6/dist-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (1.4.2)\n",
            "Requirement already satisfied: async-generator in /usr/local/lib/python3.6/dist-packages (from nbclient<0.6.0,>=0.5.0->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (1.10)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets==7.5.1) (2.4.7)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "us3LPqPDD24y"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0cZZHTdYU2-2",
        "outputId": "64853171-e8e3-4565-8435-ecd83f78053a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!jupyter serverextension enable voila --sys-prefix\n",
        "!pip install -Uqq fastbook\n",
        "import fastbook\n",
        "\n",
        "from fastai.vision.all import *\n",
        "from fastai.vision.widgets import *\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Enabling: voila\n",
            "- Writing config: /usr/etc/jupyter\n",
            "    - Validating...\n",
            "Error loading server extension voila\n",
            "     \u001b[31m X\u001b[0m is voila importable?\n",
            "\u001b[31mERROR: voila 0.2.4 has requirement nbconvert<7,>=6.0.0, but you'll have nbconvert 5.6.1 which is incompatible.\u001b[0m\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xTVWw4swX2Mi"
      },
      "source": [
        "## The Amazing Bear Classifier!\n",
        "You need to know whether you're being chased by a dangerous grizzly, or a sweet teddy bear, and you need an answer fast? Then you've come to the right place. Take a pic of the potentially vicious killer, and click 'upload' to classify it. (Important: this only handles grizzly bears, black bears, and teddy bears. It will not give a sensible answer for polar bears, a bear market, a bear of a man, or hot dogs.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TR4OpUybrZJx",
        "outputId": "8748cdcf-ac60-4f56-b432-819c3c5b48a4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')\n",
        "!ls /content/gdrive/My\\ Drive/*.pkl"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n",
            "'/content/gdrive/My Drive/export_bear_classifier.pkl'\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wRh32fXVX0VS"
      },
      "source": [
        "path = Path()\n",
        "learn_inf = load_learner('/content/gdrive/My Drive/export_bear_classifier.pkl', cpu=True)\n",
        "btn_upload = widgets.FileUpload()\n",
        "out_pl = widgets.Output()\n",
        "lbl_pred = widgets.Label()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uKKJifX1rwnM"
      },
      "source": [
        "def on_data_change(change):\n",
        "    lbl_pred.value = ''\n",
        "    img = PILImage.create(btn_upload.data[-1])\n",
        "    out_pl.clear_output()\n",
        "    with out_pl: display(img.to_thumb(128,128))\n",
        "    pred,pred_idx,probs = learn_inf.predict(img)\n",
        "    lbl_pred.value = f'Prediction: {pred}; Probability: {probs[pred_idx]:.04f}'"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F14fhfu5r0gn"
      },
      "source": [
        "btn_upload.observe(on_data_change, names=['data'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BloOIj51r3YA",
        "outputId": "dac790e9-d7ed-494c-8809-bc9b5b674a33",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112,
          "referenced_widgets": [
            "5becdf56bef14894adfe62fbbd311f44",
            "1a13c2e4f4f74bdca12aa551e2616007",
            "d1d090770a7b41ee9f1e65781f02654d",
            "1c60ee51c2724caabf1acc53380abc93",
            "04cf83c1f34542ffa9ec494b31ff0038",
            "a8418fa37fdd45cda72ed7de3da377c7",
            "d372e421e21f467c858591657932fc72",
            "83dbc29dcf5b47feb2902d1fb967da47",
            "9c4771d62da94397a60dcb59844fcf49",
            "84419ecedd16460bafee3a3391190ab7",
            "bc3e7f9ce16b40539016d377dc0c0e75",
            "30ebd3b8d8e94d2e9281c1cba01cc1f5",
            "1c2558098dc044878199bed355df921a"
          ]
        }
      },
      "source": [
        "display(VBox([widgets.Label('Select your bear!'), btn_upload, out_pl, lbl_pred]))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "5becdf56bef14894adfe62fbbd311f44",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "VBox(children=(Label(value='Select your bear!'), FileUpload(value={}, description='Upload'), Output(), Label(v…"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iWLSWRwhr6XW",
        "outputId": "048c8edf-5338-4ebb-a321-d4e8650f0f5c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "source": [
        "from google.colab import files\n",
        "files.download('/content/gdrive/My Drive/export_bear_classifier.pkl') "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "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",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_26ad36a0-8aa2-46c6-86fe-31ce3b2d2719\", \"export_bear_classifier.pkl\", 47013622)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qx5jHnY_vUZA"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w31FYUhTv21W"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}