{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lm2GQwhxCNQw",
        "outputId": "66896a6f-87e8-437a-8ef1-c798ad19e067"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.9/19.9 MB\u001b[0m \u001b[31m27.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/41.0 kB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m41.0/41.0 kB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.5/84.5 kB\u001b[0m \u001b[31m4.5 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[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m74.5/74.5 kB\u001b[0m \u001b[31m4.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m42.3 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"
          ]
        }
      ],
      "source": [
        "!pip install -Uqq fastai gradio nbdev"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "KjVdtCKTWf4g"
      },
      "outputs": [],
      "source": [
        "from fastai.vision.all import *"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "SBhTQPpDWlLE"
      },
      "outputs": [],
      "source": [
        "#!export\n",
        "from fastai.vision.all import load_learner\n",
        "import gradio as gr"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "sSpSwwC1Wny7"
      },
      "outputs": [],
      "source": [
        "#!export\n",
        "model = load_learner('tradiotional_clothing_recognition-v1.pkl')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "j2TCH9wVXe7c"
      },
      "outputs": [],
      "source": [
        "categories = [\n",
        "   \"KIMONO (JAPAN)\",\n",
        "    \"HANBOK (SOUTH KOREA)\",\n",
        "    \"CHEONGSAM/QIPAO (CHINA)\",\n",
        "    \"SARI (INDIA)\",\n",
        "    \"THAWB/DISHDASHA (SAUDI ARABIA)\",\n",
        "    \"DIRNDL (GERMANY)\",\n",
        "    \"KILT (SCOTLAND)\",\n",
        "    \"AO DAI (VIETNAM)\",\n",
        "    \"BOUBOU (WEST AFRICA)\",\n",
        "    \"HUIPIL (MEXICO)\",\n",
        "    \"SARONG (INDONESIA)\",\n",
        "    \"CHADOR (IRAN)\",\n",
        "    \"TRAJE DE FLAMENCA (SPAIN)\",\n",
        "    \"BATIK (MALAYSIA)\",\n",
        "    \"THOBE (PALESTINE)\",\n",
        "    \"NATIONAL DRESS (NORWAY)\",\n",
        "    \"NATIONAL COSTUME (PHILIPPINES)\",\n",
        "    \"BARONG TAGALOG (PHILIPPINES)\",\n",
        "    \"ABAYA (UNITED ARAB EMIRATES)\",\n",
        "    \"FOLKDRÄKT (SWEDEN)\",\n",
        "    \"AO PO'I (PARAGUAY)\",\n",
        "    \"POUNAMU PIUPIU (NEW ZEALAND)\",\n",
        "    \"KAFTAN (MOROCCO)\"\n",
        "]\n",
        "\n",
        "def recognize_image(image):\n",
        "    pred, idx, probs = model.predict(image)\n",
        "    return dict(zip(sorted(categories), map(float, probs)))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209
        },
        "id": "7CpDz53hX-n6",
        "outputId": "d9812550-1d05-42d8-e683-a9a86b323b87"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "PILImage mode=RGB size=192x192"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "img = PILImage.create('unknown-1.jpg')\n",
        "img.thumbnail((192,192))\n",
        "img"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "V5HdXkkPYC0y",
        "outputId": "c3cf1b48-5aa9-4336-96c8-589246897442"
      },
      "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": [
              "{'ABAYA (UNITED ARAB EMIRATES)': 5.2136801542701505e-09,\n",
              " 'AO DAI (VIETNAM)': 3.8817680092506635e-07,\n",
              " \"AO PO'I (PARAGUAY)\": 4.2737188787889124e-10,\n",
              " 'BARONG TAGALOG (PHILIPPINES)': 7.477908570141523e-11,\n",
              " 'BATIK (MALAYSIA)': 2.3851260966267773e-09,\n",
              " 'BOUBOU (WEST AFRICA)': 6.892130199886992e-10,\n",
              " 'CHADOR (IRAN)': 2.8864597378941426e-09,\n",
              " 'CHEONGSAM/QIPAO (CHINA)': 1.2007833616323182e-10,\n",
              " 'DIRNDL (GERMANY)': 6.495823434704562e-09,\n",
              " 'FOLKDRÄKT (SWEDEN)': 8.678026297559427e-09,\n",
              " 'HANBOK (SOUTH KOREA)': 8.89525952896264e-10,\n",
              " 'HUIPIL (MEXICO)': 9.05117847338488e-09,\n",
              " 'KAFTAN (MOROCCO)': 0.9999996423721313,\n",
              " 'KILT (SCOTLAND)': 3.810919135815993e-09,\n",
              " 'KIMONO (JAPAN)': 1.6788022083602527e-09,\n",
              " 'NATIONAL COSTUME (PHILIPPINES)': 2.3898119039245103e-09,\n",
              " 'NATIONAL DRESS (NORWAY)': 3.5316976010335566e-09,\n",
              " 'POUNAMU PIUPIU (NEW ZEALAND)': 1.3970392620521466e-09,\n",
              " 'SARI (INDIA)': 1.5023390309565343e-09}"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "recognize_image(img)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209
        },
        "id": "dBuKUCY21C9c",
        "outputId": "40b9423a-cb57-42a1-b73f-273bb8647358"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "PILImage mode=RGB size=144x192"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "img = PILImage.create('unknown-6.jpg')\n",
        "img.thumbnail((192,192))\n",
        "img"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "oClnCZ2W1Mvj",
        "outputId": "15d6ace6-3e72-44b8-f9a6-4f43393aa6c8"
      },
      "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": [
              "{'ABAYA (UNITED ARAB EMIRATES)': 2.0577258510456886e-06,\n",
              " 'AO DAI (VIETNAM)': 2.978152906507603e-07,\n",
              " \"AO PO'I (PARAGUAY)\": 0.00011985862511210144,\n",
              " 'BARONG TAGALOG (PHILIPPINES)': 0.00019182419055141509,\n",
              " 'BATIK (MALAYSIA)': 2.0184272216283716e-05,\n",
              " 'BOUBOU (WEST AFRICA)': 0.9944612979888916,\n",
              " 'CHADOR (IRAN)': 5.0027159886667505e-05,\n",
              " 'CHEONGSAM/QIPAO (CHINA)': 7.236670171550941e-06,\n",
              " 'DIRNDL (GERMANY)': 3.200794890290126e-05,\n",
              " 'FOLKDRÄKT (SWEDEN)': 0.0021258401684463024,\n",
              " 'HANBOK (SOUTH KOREA)': 7.068156264722347e-06,\n",
              " 'HUIPIL (MEXICO)': 1.9892893305950565e-06,\n",
              " 'KAFTAN (MOROCCO)': 5.319330739439465e-06,\n",
              " 'KILT (SCOTLAND)': 0.002798256231471896,\n",
              " 'KIMONO (JAPAN)': 1.070639154931996e-05,\n",
              " 'NATIONAL COSTUME (PHILIPPINES)': 4.875407284998801e-06,\n",
              " 'NATIONAL DRESS (NORWAY)': 3.6706040873468737e-07,\n",
              " 'POUNAMU PIUPIU (NEW ZEALAND)': 7.359711162280291e-05,\n",
              " 'SARI (INDIA)': 8.728736429475248e-05}"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "recognize_image(img)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SB4lBAhvYFVy",
        "outputId": "bab1e514-68c3-4182-c026-de81b0a9ec29"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "<ipython-input-33-002e914b88ef>:2: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
            "  image = gr.inputs.Image(shape=(192,192))\n",
            "<ipython-input-33-002e914b88ef>:2: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
            "  image = gr.inputs.Image(shape=(192,192))\n",
            "<ipython-input-33-002e914b88ef>:3: GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
            "  label = gr.outputs.Label()\n",
            "<ipython-input-33-002e914b88ef>:3: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
            "  label = gr.outputs.Label()\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Running on public URL: https://2dc61d1241a78b8fcb.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "data": {
            "text/plain": []
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#!export\n",
        "image = gr.inputs.Image(shape=(192,192))\n",
        "label = gr.outputs.Label()\n",
        "examples = [\n",
        "    'unknown-6.jpg',\n",
        "    'unknown-16.jpg',\n",
        "    'unknown-18.jpg',\n",
        "    ]\n",
        "\n",
        "iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)\n",
        "iface.launch(inline=False, share=True)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NxT2Gxu3YWcD"
      },
      "source": [
        "\n",
        "Notebook to Python Script Export"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6tfDvQm2YgdM"
      },
      "outputs": [],
      "source": [
        "!pip install nbdev\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DKCUaInbYYlD"
      },
      "outputs": [],
      "source": [
        "from nbdev.export import notebook2script"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yuknkMK2ZZkx"
      },
      "outputs": [],
      "source": [
        "notebook2script('app.ipynb')"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.9.7"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}