{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ceccd3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| default_exp app-nbdev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9cc2c7e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6cb828e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "def is_cat(x): return x[0].isupper() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "70a94ed8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2856326d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Dog', 'Cat')\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": 15,
   "id": "a11b5552",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/lib/python3.9/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",
      "/opt/homebrew/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  warnings.warn(value)\n",
      "/opt/homebrew/lib/python3.9/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",
      "/opt/homebrew/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
      "  warnings.warn(value)\n"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "inp_img = gr.inputs.Image(shape=(200,200))\n",
    "out_label = gr.outputs.Label()\n",
    "\n",
    "iface = gr.Interface(fn=classify_image,\n",
    "                     inputs=inp_img,\n",
    "                     outputs=out_label,\n",
    "                     title=\"Pet classifier\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "32e6f831",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7861/\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<gradio.routes.App at 0x1688dc0d0>, 'http://127.0.0.1:7861/', None)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "iface.launch(inline=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01c53c53",
   "metadata": {},
   "source": [
    "export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "40731685",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nbdev.export import notebook2script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "ea42582a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Converted app-nbdev.ipynb.\n"
     ]
    }
   ],
   "source": [
    "x = 2\n",
    "notebook2script('app-nbdev.ipynb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78b0ea16",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "2bfab3daf39c717d5b0b70976ea3368fa383d7e036680b30bd721c6f21472435"
  },
  "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}