{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "defa5547",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ae6666a",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "df31ef94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "PILImage mode=RGB size=192x192"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('hammer.jpg')\n",
    "im.thumbnail((192,192))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "308defd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('export.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c43f281f",
   "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-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: total: 250 ms\n",
      "Wall time: 60.6 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "('hammerhead', TensorBase(1), TensorBase([0.0288, 0.9633, 0.0079]))"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%time learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e1686666",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Great White', 'Hammerhead', 'Tiger')\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": 20,
   "id": "c3603c19",
   "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-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": [
       "{'Great White': 0.028759289532899857,\n",
       " 'Hammerhead': 0.9633448123931885,\n",
       " 'Tiger': 0.00789596140384674}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ed44207f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\gradio\\inputs.py:256: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  warnings.warn(\n",
      "C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  warnings.warn(value)\n",
      "C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\gradio\\outputs.py:196: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
      "  warnings.warn(\n",
      "C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\gradio\\deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
      "  warnings.warn(value)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7861/\n",
      "Running on public URL: https://50635.gradio.app\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting, check out Spaces: https://huggingface.co/spaces\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<gradio.routes.App at 0x21dd3ee4bb0>,\n",
       " 'http://127.0.0.1:7861/',\n",
       " 'https://50635.gradio.app')"
      ]
     },
     "execution_count": 10,
     "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-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-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.inputs.Image(shape=(192,192))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['white.jpg', 'hammer.jpg', 'tiger.jpg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False, share=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d30bb13",
   "metadata": {},
   "source": [
    "# export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7f84f1a2",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'notebook2script' from 'nbdev.export' (C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\nbdev\\export.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Input \u001b[1;32mIn [3]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnbdev\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexport\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m notebook2script\n\u001b[0;32m      2\u001b[0m notebook2script()\n",
      "\u001b[1;31mImportError\u001b[0m: cannot import name 'notebook2script' from 'nbdev.export' (C:\\Users\\Guilherme\\anaconda3\\lib\\site-packages\\nbdev\\export.py)"
     ]
    }
   ],
   "source": [
    "from nbdev.export import notebook2script\n",
    "notebook2script()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18677b0b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}