{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7968c134-255f-4538-b06d-fbc680831721",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e1a2532-f35b-48c6-8b83-99667d541523",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "80199f6a-5384-467f-9384-3771cb726e86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "PILImage mode=RGB size=168x192"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('ted.png')\n",
    "im.thumbnail((192,192))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "64c4276d-bce6-49e0-81b9-8cff7db25d98",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner(\"model.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a34f7d7e-1506-4f70-945a-a68c0d7b7953",
   "metadata": {},
   "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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 193 ms, sys: 8.02 ms, total: 201 ms\n",
      "Wall time: 61.1 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('teddy', tensor(2), tensor([8.4353e-06, 9.6216e-06, 9.9998e-01]))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time learn.predict(im) # tensor (0,1,2) = ([black,grizzly,teddy])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fc1b546d-f378-4238-809e-455e2a765114",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = (\"black bear\", \"grizzly bear\", \"teddy bear\")\n",
    "\n",
    "def classify_image(img):\n",
    "    pred,idx,probs = learn.predict(img)\n",
    "    return dict(zip(categories, map(float, probs)))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "53ed5139-49c4-48ad-b182-590c36a8e1a9",
   "metadata": {},
   "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 bear': 8.435251402261201e-06,\n",
       " 'grizzly bear': 9.621552635508124e-06,\n",
       " 'teddy bear': 0.9999819993972778}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "72cfe526-aeac-4932-aba8-be8a8ad04731",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7860\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 23,
     "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"
    },
    {
     "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/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.components.Image(height=192, width=192)\n",
    "label = gr.components.Label()\n",
    "examples = ['ted.png', 'black.jpg', 'grizz.jpg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image , inputs=image , outputs=label , examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b925d5a1-986f-42bf-a14d-bf6c7aa176fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import nbdev\n",
    "notebook_name = \"app.ipynb\"\n",
    "export_destination = \".\" # the root directory\n",
    "nbdev.export.nb_export(notebook_name, export_destination)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae266792-b5b0-44fc-9b34-8fe9366aeedc",
   "metadata": {},
   "outputs": [],
   "source": [
    "nbdev.export.nb_export()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}