{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "0v2HkwDNuedr"
   },
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bQNzxIIrkzU8",
    "outputId": "43c49068-1564-478f-8c60-b7aff70de343"
   },
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "LVJdf5JmvB3P",
    "outputId": "d360217b-d258-4aa2-dee3-ae451892257a"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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       "    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"
    },
    {
     "ename": "TypeError",
     "evalue": "Exception occured in `ProgressCallback` when calling event `after_batch`:\n\tunsupported format string passed to TensorBase.__format__",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn [3], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m#|export\u001b[39;00m\n\u001b[1;32m      2\u001b[0m learn \u001b[38;5;241m=\u001b[39m load_learner(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmodel.pkl\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mlearn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpredict\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mchad.jpeg\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:303\u001b[0m, in \u001b[0;36mLearner.predict\u001b[0;34m(self, item, rm_type_tfms, with_input)\u001b[0m\n\u001b[1;32m    301\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mpredict\u001b[39m(\u001b[38;5;28mself\u001b[39m, item, rm_type_tfms\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, with_input\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m    302\u001b[0m     dl \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdls\u001b[38;5;241m.\u001b[39mtest_dl([item], rm_type_tfms\u001b[38;5;241m=\u001b[39mrm_type_tfms, num_workers\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m--> 303\u001b[0m     inp,preds,_,dec_preds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_preds\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_input\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwith_decoded\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    304\u001b[0m     i \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdls, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mn_inp\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m    305\u001b[0m     inp \u001b[38;5;241m=\u001b[39m (inp,) \u001b[38;5;28;01mif\u001b[39;00m i\u001b[38;5;241m==\u001b[39m\u001b[38;5;241m1\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m tuplify(inp)\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:290\u001b[0m, in \u001b[0;36mLearner.get_preds\u001b[0;34m(self, ds_idx, dl, with_input, with_decoded, with_loss, act, inner, reorder, cbs, **kwargs)\u001b[0m\n\u001b[1;32m    288\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m with_loss: ctx_mgrs\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_not_reduced())\n\u001b[1;32m    289\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m ContextManagers(ctx_mgrs):\n\u001b[0;32m--> 290\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_epoch_validate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdl\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    291\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m act \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: act \u001b[38;5;241m=\u001b[39m getcallable(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mloss_func, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mactivation\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    292\u001b[0m     res \u001b[38;5;241m=\u001b[39m cb\u001b[38;5;241m.\u001b[39mall_tensors()\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:236\u001b[0m, in \u001b[0;36mLearner._do_epoch_validate\u001b[0;34m(self, ds_idx, dl)\u001b[0m\n\u001b[1;32m    234\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dl \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: dl \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdls[ds_idx]\n\u001b[1;32m    235\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdl \u001b[38;5;241m=\u001b[39m dl\n\u001b[0;32m--> 236\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m torch\u001b[38;5;241m.\u001b[39mno_grad(): \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_with_events\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mall_batches\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mvalidate\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mCancelValidException\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:193\u001b[0m, in \u001b[0;36mLearner._with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_with_events\u001b[39m(\u001b[38;5;28mself\u001b[39m, f, event_type, ex, final\u001b[38;5;241m=\u001b[39mnoop):\n\u001b[0;32m--> 193\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m: \u001b[38;5;28mself\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbefore_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m);  \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    194\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m ex: \u001b[38;5;28mself\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mafter_cancel_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m    195\u001b[0m     \u001b[38;5;28mself\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mafter_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m);  final()\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:199\u001b[0m, in \u001b[0;36mLearner.all_batches\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mall_batches\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m    198\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mn_iter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdl)\n\u001b[0;32m--> 199\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdl): \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mone_batch\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mo\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:227\u001b[0m, in \u001b[0;36mLearner.one_batch\u001b[0;34m(self, i, b)\u001b[0m\n\u001b[1;32m    225\u001b[0m b \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_device(b)\n\u001b[1;32m    226\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_split(b)\n\u001b[0;32m--> 227\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_with_events\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_do_one_batch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbatch\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mCancelBatchException\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:195\u001b[0m, in \u001b[0;36mLearner._with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    193\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \u001b[38;5;28mself\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbefore_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m);  f()\n\u001b[1;32m    194\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ex: \u001b[38;5;28mself\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mafter_cancel_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 195\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mafter_\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mevent_type\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m;  final()\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:171\u001b[0m, in \u001b[0;36mLearner.__call__\u001b[0;34m(self, event_name)\u001b[0m\n\u001b[0;32m--> 171\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, event_name): \u001b[43mL\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent_name\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_one\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastcore/foundation.py:156\u001b[0m, in \u001b[0;36mL.map\u001b[0;34m(self, f, gen, *args, **kwargs)\u001b[0m\n\u001b[0;32m--> 156\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmap\u001b[39m(\u001b[38;5;28mself\u001b[39m, f, \u001b[38;5;241m*\u001b[39margs, gen\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs): \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_new(\u001b[43mmap_ex\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgen\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m)\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastcore/basics.py:840\u001b[0m, in \u001b[0;36mmap_ex\u001b[0;34m(iterable, f, gen, *args, **kwargs)\u001b[0m\n\u001b[1;32m    838\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmap\u001b[39m(g, iterable)\n\u001b[1;32m    839\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m gen: \u001b[38;5;28;01mreturn\u001b[39;00m res\n\u001b[0;32m--> 840\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mres\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastcore/basics.py:825\u001b[0m, in \u001b[0;36mbind.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    823\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(v,_Arg): kwargs[k] \u001b[38;5;241m=\u001b[39m args\u001b[38;5;241m.\u001b[39mpop(v\u001b[38;5;241m.\u001b[39mi)\n\u001b[1;32m    824\u001b[0m fargs \u001b[38;5;241m=\u001b[39m [args[x\u001b[38;5;241m.\u001b[39mi] \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(x, _Arg) \u001b[38;5;28;01melse\u001b[39;00m x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpargs] \u001b[38;5;241m+\u001b[39m args[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmaxi\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m:]\n\u001b[0;32m--> 825\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mfargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/learner.py:175\u001b[0m, in \u001b[0;36mLearner._call_one\u001b[0;34m(self, event_name)\u001b[0m\n\u001b[1;32m    173\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call_one\u001b[39m(\u001b[38;5;28mself\u001b[39m, event_name):\n\u001b[1;32m    174\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(event, event_name): \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmissing \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 175\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m cb \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcbs\u001b[38;5;241m.\u001b[39msorted(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124morder\u001b[39m\u001b[38;5;124m'\u001b[39m): \u001b[43mcb\u001b[49m\u001b[43m(\u001b[49m\u001b[43mevent_name\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/callback/core.py:62\u001b[0m, in \u001b[0;36mCallback.__call__\u001b[0;34m(self, event_name)\u001b[0m\n\u001b[1;32m     60\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m: res \u001b[38;5;241m=\u001b[39m getcallable(\u001b[38;5;28mself\u001b[39m, event_name)()\n\u001b[1;32m     61\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (CancelBatchException, CancelBackwardException, CancelEpochException, CancelFitException, CancelStepException, CancelTrainException, CancelValidException): \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m---> 62\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e: \u001b[38;5;28;01mraise\u001b[39;00m modify_exception(e, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mException occured in `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m` when calling event `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m`:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;241m.\u001b[39margs[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m, replace\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m     63\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m event_name\u001b[38;5;241m==\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mafter_fit\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m \u001b[38;5;66;03m#Reset self.run to True at each end of fit\u001b[39;00m\n\u001b[1;32m     64\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m res\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/callback/core.py:60\u001b[0m, in \u001b[0;36mCallback.__call__\u001b[0;34m(self, event_name)\u001b[0m\n\u001b[1;32m     58\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun \u001b[38;5;129;01mand\u001b[39;00m _run: \n\u001b[0;32m---> 60\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m: res \u001b[38;5;241m=\u001b[39m \u001b[43mgetcallable\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mevent_name\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     61\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m (CancelBatchException, CancelBackwardException, CancelEpochException, CancelFitException, CancelStepException, CancelTrainException, CancelValidException): \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[1;32m     62\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e: \u001b[38;5;28;01mraise\u001b[39;00m modify_exception(e, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mException occured in `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m` when calling event `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mevent_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m`:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;241m.\u001b[39margs[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m, replace\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/callback/progress.py:33\u001b[0m, in \u001b[0;36mProgressCallback.after_batch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mafter_batch\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m     32\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpbar\u001b[38;5;241m.\u001b[39mupdate(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miter\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m---> 33\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msmooth_loss\u001b[39m\u001b[38;5;124m'\u001b[39m): \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpbar\u001b[38;5;241m.\u001b[39mcomment \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msmooth_loss\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m.4f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/torch/_tensor.py:855\u001b[0m, in \u001b[0;36mTensor.__format__\u001b[0;34m(self, format_spec)\u001b[0m\n\u001b[1;32m    853\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__format__\u001b[39m(\u001b[38;5;28mself\u001b[39m, format_spec):\n\u001b[1;32m    854\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m has_torch_function_unary(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 855\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mhandle_torch_function\u001b[49m\u001b[43m(\u001b[49m\u001b[43mTensor\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__format__\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mformat_spec\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    856\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdim() \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_meta \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;129;01mis\u001b[39;00m Tensor:\n\u001b[1;32m    857\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mitem()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__format__\u001b[39m(format_spec)\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/torch/overrides.py:1534\u001b[0m, in \u001b[0;36mhandle_torch_function\u001b[0;34m(public_api, relevant_args, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1528\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDefining your `__torch_function__ as a plain method is deprecated and \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1529\u001b[0m                   \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwill be an error in future, please define it as a classmethod.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m   1530\u001b[0m                   \u001b[38;5;167;01mDeprecationWarning\u001b[39;00m)\n\u001b[1;32m   1532\u001b[0m \u001b[38;5;66;03m# Use `public_api` instead of `implementation` so __torch_function__\u001b[39;00m\n\u001b[1;32m   1533\u001b[0m \u001b[38;5;66;03m# implementations can do equality/identity comparisons.\u001b[39;00m\n\u001b[0;32m-> 1534\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mtorch_func_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpublic_api\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtypes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1536\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m result \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m:\n\u001b[1;32m   1537\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/fastai/torch_core.py:376\u001b[0m, in \u001b[0;36mTensorBase.__torch_function__\u001b[0;34m(cls, func, types, args, kwargs)\u001b[0m\n\u001b[1;32m    374\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mdebug \u001b[38;5;129;01mand\u001b[39;00m func\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__str__\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__repr__\u001b[39m\u001b[38;5;124m'\u001b[39m): \u001b[38;5;28mprint\u001b[39m(func, types, args, kwargs)\n\u001b[1;32m    375\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _torch_handled(args, \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m_opt, func): types \u001b[38;5;241m=\u001b[39m (torch\u001b[38;5;241m.\u001b[39mTensor,)\n\u001b[0;32m--> 376\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__torch_function__\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtypes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mifnone\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    377\u001b[0m dict_objs \u001b[38;5;241m=\u001b[39m _find_args(args) \u001b[38;5;28;01mif\u001b[39;00m args \u001b[38;5;28;01melse\u001b[39;00m _find_args(\u001b[38;5;28mlist\u001b[39m(kwargs\u001b[38;5;241m.\u001b[39mvalues()))\n\u001b[1;32m    378\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(\u001b[38;5;28mtype\u001b[39m(res),TensorBase) \u001b[38;5;129;01mand\u001b[39;00m dict_objs: res\u001b[38;5;241m.\u001b[39mset_meta(dict_objs[\u001b[38;5;241m0\u001b[39m],as_copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/torch/_tensor.py:1278\u001b[0m, in \u001b[0;36mTensor.__torch_function__\u001b[0;34m(cls, func, types, args, kwargs)\u001b[0m\n\u001b[1;32m   1275\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[1;32m   1277\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _C\u001b[38;5;241m.\u001b[39mDisableTorchFunction():\n\u001b[0;32m-> 1278\u001b[0m     ret \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1279\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m func \u001b[38;5;129;01min\u001b[39;00m get_default_nowrap_functions():\n\u001b[1;32m   1280\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m ret\n",
      "File \u001b[0;32m~/mambaforge/lib/python3.10/site-packages/torch/_tensor.py:858\u001b[0m, in \u001b[0;36mTensor.__format__\u001b[0;34m(self, format_spec)\u001b[0m\n\u001b[1;32m    856\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdim() \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_meta \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;129;01mis\u001b[39;00m Tensor:\n\u001b[1;32m    857\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mitem()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__format__\u001b[39m(format_spec)\n\u001b[0;32m--> 858\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mobject\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__format__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mformat_spec\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mTypeError\u001b[0m: Exception occured in `ProgressCallback` when calling event `after_batch`:\n\tunsupported format string passed to TensorBase.__format__"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "learn = load_learner('model.pkl')\n",
    "learn.predict('chad.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "TEcbQHkwv7AL"
   },
   "outputs": [],
   "source": [
    "#|export\n",
    "options = \"chad smith\", \"will ferrel\"\n",
    "\n",
    "def classify_image(img):\n",
    "  pred, idx, probs = learn.predict(img)\n",
    "  return dict(zip(options, map(float, probs)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "id": "dvFBaWZxxEiy",
    "outputId": "8b82c274-da65-4a9a-98ee-e41974333d4f"
   },
   "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": [
       "{'chad smith': 0.9999778270721436, 'will ferrel': 2.222472357971128e-05}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image('chad.jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Y3-OlMQcwf8m",
    "outputId": "f20a24eb-a581-4c92-ffb9-5f8d2e04498b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Colab notebook detected. To show errors in colab notebook, set `debug=True` in `launch()`\n",
      "Running on public URL: https://c2e5b3ce191fb70a.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": [
       "(<gradio.routes.App at 0x7faf27fd91d0>,\n",
       " 'http://127.0.0.1:7860/',\n",
       " 'https://c2e5b3ce191fb70a.gradio.app')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.inputs.Image(shape=(192, 192))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['will.jpeg', 'chad.jpeg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "U0-th1g7ye6c"
   },
   "source": [
    "Export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 336
    },
    "id": "7vdYnogAxOEz",
    "outputId": "401589ef-3a37-4c88-b0a9-4df9764606e6"
   },
   "outputs": [],
   "source": [
    "import nbdev\n",
    "nbdev.export.nb_export('public_chad_or_will.ipynb')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "htHSNZXbxX2N"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
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  "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": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}