{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:32.853174Z",
     "start_time": "2024-01-31T13:17:26.201882Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "!pip install -Uqq fastai\n",
    "!pip install --upgrade pip\n",
    "!pip install gradio"
   ]
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "#|default_exp app"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:32.866781Z",
     "start_time": "2024-01-31T13:17:32.853554Z"
    }
   },
   "id": "131cfda07ddd85ac",
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "\n",
    "def is_grizzly(x): return x[0].isupper()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:48.186611Z",
     "start_time": "2024-01-31T13:17:32.857277Z"
    }
   },
   "id": "69aefb3580da341f",
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('export.pkl')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:48.208712Z",
     "start_time": "2024-01-31T13:17:48.188919Z"
    }
   },
   "id": "65a607022a16cd59",
   "execution_count": 5
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('black', 'grizzly', 'teddy')\n",
    "\n",
    "def classify_image(img):\n",
    "    pred,pred_idx,probs = learn.predict(img)\n",
    "    return dict(zip(categories, map(float, probs)))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:48.218289Z",
     "start_time": "2024-01-31T13:17:48.210181Z"
    }
   },
   "id": "5d718a1ff473d36f",
   "execution_count": 6
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "#|export\n",
    "image = gr.Image(width=224, height=224)\n",
    "label = gr.Label()\n",
    "examples = [\n",
    "    ['images/grizzly.png'],\n",
    "    ['images/black.png'],\n",
    "    ['images/teddy.png']\n",
    "]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:48.218664Z",
     "start_time": "2024-01-31T13:17:48.212792Z"
    }
   },
   "id": "f3eb492b280e1353",
   "execution_count": 7
  },
  {
   "cell_type": "code",
   "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": "<IPython.core.display.HTML object>",
      "text/html": "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": ""
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:48.327783Z",
     "start_time": "2024-01-31T13:17:48.217419Z"
    }
   },
   "id": "2f43279622f0bad4",
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Requirement already satisfied: decorator in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (5.1.1)\r\n",
      "Requirement already satisfied: jedi>=0.16 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (0.18.1)\r\n",
      "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (3.0.43)\r\n",
      "Requirement already satisfied: pygments>=2.4.0 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (2.15.1)\r\n",
      "Requirement already satisfied: stack-data in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (0.2.0)\r\n",
      "Requirement already satisfied: pexpect>4.3 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from ipython->execnb>=0.1.4->nbdev) (4.8.0)\r\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from jedi>=0.16->ipython->execnb>=0.1.4->nbdev) (0.8.3)\r\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from jupyter-client>=6.1.12->ipykernel>=4.5.1->ipywidgets<=8.0.4->nbdev) (2.8.2)\r\n",
      "Requirement already satisfied: platformdirs>=2.5 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from jupyter-core!=5.0.*,>=4.12->ipykernel>=4.5.1->ipywidgets<=8.0.4->nbdev) (3.10.0)\r\n",
      "Requirement already satisfied: ptyprocess>=0.5 in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from pexpect>4.3->ipython->execnb>=0.1.4->nbdev) (0.7.0)\r\n",
      "Requirement already satisfied: wcwidth in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython->execnb>=0.1.4->nbdev) (0.2.5)\r\n",
      "Requirement already satisfied: executing in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from stack-data->ipython->execnb>=0.1.4->nbdev) (0.8.3)\r\n",
      "Requirement already satisfied: pure-eval in /Users/ellen/miniconda3/envs/minima/lib/python3.11/site-packages (from stack-data->ipython->execnb>=0.1.4->nbdev) (0.2.2)\r\n",
      "Using cached nbdev-2.3.13-py3-none-any.whl (66 kB)\r\n",
      "Using cached ghapi-1.0.4-py3-none-any.whl (58 kB)\r\n",
      "Installing collected packages: watchdog, astunparse, ghapi, execnb, nbdev\r\n",
      "Successfully installed astunparse-1.6.3 execnb-0.1.5 ghapi-1.0.4 nbdev-2.3.13 watchdog-3.0.0\r\n"
     ]
    }
   ],
   "source": [
    "!pip install nbdev"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:50.062123Z",
     "start_time": "2024-01-31T13:17:48.339494Z"
    }
   },
   "id": "876b397b80c82dd",
   "execution_count": 9
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "import nbdev"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:50.149378Z",
     "start_time": "2024-01-31T13:17:50.064748Z"
    }
   },
   "id": "a6999db4bdd9fc11",
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Export successful.\n"
     ]
    }
   ],
   "source": [
    "nbdev.export.nb_export('app.ipynb', './')\n",
    "print('Export successful.')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:50.154880Z",
     "start_time": "2024-01-31T13:17:50.149782Z"
    }
   },
   "id": "4b9a6222130c5222",
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-01-31T13:17:50.160011Z",
     "start_time": "2024-01-31T13:17:50.155060Z"
    }
   },
   "id": "a163ce5fbeb88c1f",
   "execution_count": 11
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}