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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5e10d6af",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "abe811d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "\n",
    "def is_coffee(x): return x[0].isupper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ffaece27",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pathlib\n",
    "temp = pathlib.PosixPath\n",
    "pathlib.PosixPath = pathlib.WindowsPath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "67785895",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "PILImage mode=RGB size=192x128"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('soybean.jpg')\n",
    "im.thumbnail((192, 192))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b7ed1e4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "learn = load_learner('bean.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b2c24148",
   "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": [
      "soybean\n",
      "TensorBase(4.2289e-07)\n",
      "TensorBase(1.0000)\n"
     ]
    }
   ],
   "source": [
    "pred, idx, probs = learn.predict(im)\n",
    "\n",
    "print(pred)\n",
    "for i in probs:\n",
    "    float(i)\n",
    "    print(i)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "28206ae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "categories = ('Coffee Bean', 'Soy Bean')\n",
    "# Gradio requires a dictionary of all the categories and the probabilities of each category. \n",
    "def classify_image(img):\n",
    "    pred, idx, probs = learn.predict(img)\n",
    "    return dict(zip(categories, map(float, probs)))\n",
    "              \n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "d8cded64",
   "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": [
       "{'Coffee Bean': 4.22894061102852e-07, 'Soy Bean': 0.9999995231628418}"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "247588b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Josh\\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\\Josh\\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://127.0.0.1:7860\n",
      "Running on public URL: https://1ed53b80387c22af.gradio.app\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| export\n",
    "image = gr.components.Image(shape=(192, 192))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['coffee.jpg', 'kidney.jpg', 'soybean.jpg', 'fresh coffee bean.jpg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False, share=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "082b9294",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting nbdev\n",
      "  Downloading nbdev-2.3.9-py3-none-any.whl (64 kB)\n",
      "     ---------------------------------------- 64.1/64.1 kB 1.7 MB/s eta 0:00:00\n",
      "Requirement already satisfied: watchdog in c:\\users\\josh\\anaconda3\\lib\\site-packages (from nbdev) (2.1.6)\n",
      "Collecting astunparse\n",
      "  Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\n",
      "Collecting execnb>=0.1.4\n",
      "  Downloading execnb-0.1.4-py3-none-any.whl (13 kB)\n",
      "Collecting asttokens\n",
      "  Downloading asttokens-2.2.1-py2.py3-none-any.whl (26 kB)\n",
      "Collecting ghapi>=1.0.3\n",
      "  Downloading ghapi-1.0.3-py3-none-any.whl (58 kB)\n",
      "     ---------------------------------------- 58.1/58.1 kB 3.2 MB/s eta 0:00:00\n",
      "Requirement already satisfied: fastcore>=1.5.27 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from nbdev) (1.5.27)\n",
      "Requirement already satisfied: PyYAML in c:\\users\\josh\\anaconda3\\lib\\site-packages (from nbdev) (6.0)\n",
      "Requirement already satisfied: ipython in c:\\users\\josh\\anaconda3\\lib\\site-packages (from execnb>=0.1.4->nbdev) (7.31.1)\n",
      "Requirement already satisfied: pip in c:\\users\\josh\\anaconda3\\lib\\site-packages (from fastcore>=1.5.27->nbdev) (22.2.2)\n",
      "Requirement already satisfied: packaging in c:\\users\\josh\\anaconda3\\lib\\site-packages (from fastcore>=1.5.27->nbdev) (21.3)\n",
      "Requirement already satisfied: six in c:\\users\\josh\\anaconda3\\lib\\site-packages (from asttokens->nbdev) (1.16.0)\n",
      "Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from astunparse->nbdev) (0.37.1)\n",
      "Requirement already satisfied: decorator in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (5.1.1)\n",
      "Requirement already satisfied: traitlets>=4.2 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (5.1.1)\n",
      "Requirement already satisfied: setuptools>=18.5 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (63.4.1)\n",
      "Requirement already satisfied: matplotlib-inline in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (0.1.6)\n",
      "Requirement already satisfied: pygments in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (2.11.2)\n",
      "Requirement already satisfied: jedi>=0.16 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (0.18.1)\n",
      "Requirement already satisfied: colorama in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (0.4.5)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (3.0.20)\n",
      "Requirement already satisfied: backcall in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (0.2.0)\n",
      "Requirement already satisfied: pickleshare in c:\\users\\josh\\anaconda3\\lib\\site-packages (from ipython->execnb>=0.1.4->nbdev) (0.7.5)\n",
      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from packaging->fastcore>=1.5.27->nbdev) (3.0.9)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in c:\\users\\josh\\anaconda3\\lib\\site-packages (from jedi>=0.16->ipython->execnb>=0.1.4->nbdev) (0.8.3)\n",
      "Requirement already satisfied: wcwidth in c:\\users\\josh\\anaconda3\\lib\\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->execnb>=0.1.4->nbdev) (0.2.5)\n",
      "Installing collected packages: astunparse, asttokens, ghapi, execnb, nbdev\n",
      "Successfully installed asttokens-2.2.1 astunparse-1.6.3 execnb-0.1.4 ghapi-1.0.3 nbdev-2.3.9\n"
     ]
    },
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'notebook2script' from 'nbdev.export' (C:\\Users\\Josh\\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)",
      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_108944\\3894890064.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msystem\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'pip install nbdev'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mnbdev\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexport\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mnotebook2script\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mnotebook2script\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'beanappgradio.ipynb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mImportError\u001b[0m: cannot import name 'notebook2script' from 'nbdev.export' (C:\\Users\\Josh\\anaconda3\\lib\\site-packages\\nbdev\\export.py)"
     ]
    }
   ],
   "source": [
    "!pip install nbdev\n",
    "from nbdev.export import notebook2script\n",
    "notebook2script('beanappgradio.ipynb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86a1a546",
   "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": "3.9.13"
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 },
 "nbformat": 4,
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}