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Bearify

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File size: 158,098 Bytes

{
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  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "UySFk1vPKxb_"
      },
      "outputs": [],
      "source": [
        "#|default_exp app"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gT0wxrhGKIxL"
      },
      "source": [
        "# Bearify"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "HHP6YSgf_WOu",
        "outputId": "4b096ca9-b0a3-467c-b69b-1880fce6087e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m12.3/12.3 MB\u001b[0m \u001b[31m37.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.0/92.0 kB\u001b[0m \u001b[31m9.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m315.9/315.9 kB\u001b[0m \u001b[31m29.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.6/75.6 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m142.5/142.5 kB\u001b[0m \u001b[31m16.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.7/8.7 MB\u001b[0m \u001b[31m74.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m47.2/47.2 kB\u001b[0m \u001b[31m5.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.8/60.8 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m15.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m9.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.9/71.9 kB\u001b[0m \u001b[31m8.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m53.6/53.6 kB\u001b[0m \u001b[31m6.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m307.7/307.7 kB\u001b[0m \u001b[31m22.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m341.4/341.4 kB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m47.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m49.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n",
            "weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ],
      "source": [
        "!pip install -Uqq gradio"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "Fg2er2rQLApV"
      },
      "outputs": [],
      "source": [
        "#|export\n",
        "from fastai.vision.all import *\n",
        "import gradio as gr\n",
        "\n",
        "def which_bear(x): pass"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209
        },
        "id": "vBBjPghILOjq",
        "outputId": "caa4c037-3d1e-43ae-a8e2-0f9c79198a2d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PILImage mode=RGB size=192x192"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "im = PILImage.create('/content/teddy.jpg')\n",
        "im.thumbnail((192,192))\n",
        "im"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "Ko1vxtuzACNo"
      },
      "outputs": [],
      "source": [
        "learn = load_learner('/content/bear_model.pkl')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "learn.predict(im)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "id": "N4lUOFyom35W",
        "outputId": "d363cb16-e67f-4829-a776-8af408671170"
      },
      "execution_count": 9,
      "outputs": [
        {
          "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": []
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('teddy', tensor(2), tensor([4.8331e-05, 7.1999e-05, 9.9988e-01]))"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "categories = ('Teddy', 'Black', 'Grizzly')\n",
        "\n",
        "def classify_image(img):\n",
        "  pred, idx, probs = learn.predict(img)\n",
        "  return dict(zip(categories, map(float, probs)))"
      ],
      "metadata": {
        "id": "k8MzL29fm5wO"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "classify_image(im)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 69
        },
        "id": "R_dNtPRtoPER",
        "outputId": "95b072b8-736f-424d-98dd-2a99e5078bef"
      },
      "execution_count": 11,
      "outputs": [
        {
          "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": []
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'Teddy': 4.833127968595363e-05,\n",
              " 'Black': 7.199876563390717e-05,\n",
              " 'Grizzly': 0.9998795986175537}"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "image = gr.inputs.Image(shape = (192,192))\n",
        "labels = gr.outputs.Label()\n",
        "\n",
        "intf = gr.Interface(fn=classify_image, inputs=image, outputs=labels)\n",
        "intf.launch(inline=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "id": "Uc2M0zOEoR6b",
        "outputId": "08c190d2-b5ad-43d1-aa00-f4c452152024"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "module 'gradio' has no attribute 'inputs'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-16-b4d2dd17fd72>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mimage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m192\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m192\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      2\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLabel\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      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mintf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mInterface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mclassify_image\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mimage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mintf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: module 'gradio' has no attribute 'inputs'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "bqK_vxTfpqBj"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
=======
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "UySFk1vPKxb_"
   },
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gT0wxrhGKIxL"
   },
   "source": [
    "# Bearify"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "Fg2er2rQLApV"
   },
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 209
    },
    "id": "vBBjPghILOjq",
    "outputId": "caa4c037-3d1e-43ae-a8e2-0f9c79198a2d"
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
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",
      "text/plain": [
       "PILImage mode=RGB size=192x128"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('Images/black.jpeg')\n",
    "im.thumbnail((192,192))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "temp = pathlib.PosixPath\n",
    "pathlib.PosixPath = pathlib.WindowsPath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "Ko1vxtuzACNo"
   },
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('bear_model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 34
    },
    "id": "N4lUOFyom35W",
    "outputId": "d363cb16-e67f-4829-a776-8af408671170"
   },
   "outputs": [
    {
     "data": {
      "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"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "('teddy', tensor(2), tensor([1.0445e-04, 5.7532e-07, 9.9989e-01]))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "k8MzL29fm5wO"
   },
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Black', 'Grizzly', 'Teddy')\n",
    "\n",
    "def classify_image(img):\n",
    "  pred, idx, probs = learn.predict(img)\n",
    "  return dict(zip(categories, map(float, probs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 69
    },
    "id": "R_dNtPRtoPER",
    "outputId": "95b072b8-736f-424d-98dd-2a99e5078bef"
   },
   "outputs": [
    {
     "data": {
      "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"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'Black': 0.9999740123748779,\n",
       " 'Grizzly': 2.554871025495231e-05,\n",
       " 'Teddy': 4.94215839808021e-07}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 211
    },
    "id": "Uc2M0zOEoR6b",
    "outputId": "08c190d2-b5ad-43d1-aa00-f4c452152024"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7865\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "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"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.Image()\n",
    "labels = gr.Label()\n",
    "examples = ['Images/teddy.jpg', 'Images/grizzly.jpg', 'Images/black.jpeg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=labels, examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "bqK_vxTfpqBj"
   },
   "source": [
    "## Export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Export successful\n"
     ]
    }
   ],
   "source": [
    "import nbdev\n",
    "nbdev.export.nb_export('Bearify_nb.ipynb', 'app')\n",
    "print('Export successful')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "bear_env",
   "language": "python",
   "name": "bear_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
>>>>>>> 0fe59f7a86f169cada64a4a2f46f4f824acce0cb
}