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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a7108ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6d6c88c",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'gradio'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#|export\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mfastai\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvision\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mall\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[0;32m----> 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mgradio\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mgr\u001b[39;00m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'gradio'"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "826189c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "PILImage mode=RGB size=224x126"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create(\"FoundationPouring00.PNG\")\n",
    "im.thumbnail((224,224))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5208ab66",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn=load_learner(\"metamodel.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6bcf29a6",
   "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": [
       "('Foundation Pouring',\n",
       " TensorBase(0),\n",
       " TensorBase([1.0000e+00, 1.5273e-09, 3.1612e-08]))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "732d7aec",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = (\"Foundation Pouring\",\"Frame Installation\",\"Land Excavation\")\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": 7,
   "id": "63a87dc4",
   "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": [
       "{'Foundation Pouring': 1.0,\n",
       " 'Frame Installation': 1.5272558773204992e-09,\n",
       " 'Land Excavation': 3.161174078059048e-08}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e535d731",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'gr' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[0;32mIn [8]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#|export\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m image \u001b[38;5;241m=\u001b[39m \u001b[43mgr\u001b[49m\u001b[38;5;241m.\u001b[39minputs\u001b[38;5;241m.\u001b[39mImage(shape\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m512\u001b[39m, \u001b[38;5;241m512\u001b[39m))\n\u001b[1;32m      3\u001b[0m label \u001b[38;5;241m=\u001b[39m gr\u001b[38;5;241m.\u001b[39moutputs\u001b[38;5;241m.\u001b[39mLabel()\n\u001b[1;32m      4\u001b[0m examples \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFoundationPouring00.PNG\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFrameInstallation00.PNG\u001b[39m\u001b[38;5;124m\"\u001b[39m,\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLandExcavation00.PNG\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
      "\u001b[0;31mNameError\u001b[0m: name 'gr' is not defined"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.inputs.Image(shape=(512, 512))\n",
    "label = gr.outputs.Label()\n",
    "examples = [\"FoundationPouring00.PNG\",\"FrameInstallation00.PNG\",\"LandExcavation00.PNG\"]\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9b9c6081",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nbdev.export import notebook2script"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8f215358",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Converted app.ipynb.\n"
     ]
    }
   ],
   "source": [
    "notebook2script(\"app.ipynb\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cc3cc51",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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   "pygments_lexer": "ipython3",
   "version": "3.9.10"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
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 },
 "nbformat": 4,
 "nbformat_minor": 5
}