{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
      "  warnings.warn(\n",
      "/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet34_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet34_Weights.DEFAULT` to get the most up-to-date weights.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "#id first_training\n",
    "#caption Results from the first training\n",
    "# CLICK ME\n",
    "#|export\n",
    "from fastai.vision.all import *\n",
    "path = untar_data(URLs.PETS)/'images'\n",
    "\n",
    "def is_cat(x): return x[0].isupper()\n",
    "dls = ImageDataLoaders.from_name_func(\n",
    "    path, get_image_files(path), \n",
    "    valid_pct=0.2, \n",
    "    seed=42,\n",
    "    label_func=is_cat, \n",
    "    item_tfms=Resize(224)\n",
    ")\n",
    "\n",
    "learn = vision_learner(dls, resnet34, metrics=error_rate)\n",
    "learn.fine_tune(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7714f88d5b1a4e198c60d4303a7dbf50",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FileUpload(value=(), description='Upload')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from ipywidgets import widgets\n",
    "from IPython.display import display\n",
    "uploader = widgets.FileUpload()\n",
    "display(uploader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "# For the book, we can't actually click an upload button, so we fake it\n",
    "uploader = SimpleNamespace(data = ['../data/interim/th-1.webp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      0.00% [0/1 00:00&lt;?]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "AttributeError",
     "evalue": "read",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[11], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m img \u001b[39m=\u001b[39m PILImage\u001b[39m.\u001b[39mcreate(uploader\u001b[39m.\u001b[39mdata[\u001b[39m0\u001b[39m])\n\u001b[0;32m----> 2\u001b[0m is_cat,_,probs \u001b[39m=\u001b[39m learn\u001b[39m.\u001b[39;49mpredict(img)\n\u001b[1;32m      3\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mIs this a cat?: \u001b[39m\u001b[39m{\u001b[39;00mis_cat\u001b[39m}\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m      4\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mProbability it\u001b[39m\u001b[39m'\u001b[39m\u001b[39ms a cat: \u001b[39m\u001b[39m{\u001b[39;00mprobs[\u001b[39m1\u001b[39m]\u001b[39m.\u001b[39mitem()\u001b[39m:\u001b[39;00m\u001b[39m.6f\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/learner.py:321\u001b[0m, in \u001b[0;36mLearner.predict\u001b[0;34m(self, item, rm_type_tfms, with_input)\u001b[0m\n\u001b[1;32m    319\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mpredict\u001b[39m(\u001b[39mself\u001b[39m, item, rm_type_tfms\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, with_input\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[1;32m    320\u001b[0m     dl \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdls\u001b[39m.\u001b[39mtest_dl([item], rm_type_tfms\u001b[39m=\u001b[39mrm_type_tfms, num_workers\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m)\n\u001b[0;32m--> 321\u001b[0m     inp,preds,_,dec_preds \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_preds(dl\u001b[39m=\u001b[39;49mdl, with_input\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, with_decoded\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n\u001b[1;32m    322\u001b[0m     i \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdls, \u001b[39m'\u001b[39m\u001b[39mn_inp\u001b[39m\u001b[39m'\u001b[39m, \u001b[39m-\u001b[39m\u001b[39m1\u001b[39m)\n\u001b[1;32m    323\u001b[0m     inp \u001b[39m=\u001b[39m (inp,) \u001b[39mif\u001b[39;00m i\u001b[39m==\u001b[39m\u001b[39m1\u001b[39m \u001b[39melse\u001b[39;00m tuplify(inp)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/learner.py:308\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    306\u001b[0m \u001b[39mif\u001b[39;00m with_loss: ctx_mgrs\u001b[39m.\u001b[39mappend(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloss_not_reduced())\n\u001b[1;32m    307\u001b[0m \u001b[39mwith\u001b[39;00m ContextManagers(ctx_mgrs):\n\u001b[0;32m--> 308\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_do_epoch_validate(dl\u001b[39m=\u001b[39;49mdl)\n\u001b[1;32m    309\u001b[0m     \u001b[39mif\u001b[39;00m act \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m: act \u001b[39m=\u001b[39m getcallable(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloss_func, \u001b[39m'\u001b[39m\u001b[39mactivation\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m    310\u001b[0m     res \u001b[39m=\u001b[39m cb\u001b[39m.\u001b[39mall_tensors()\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/learner.py:244\u001b[0m, in \u001b[0;36mLearner._do_epoch_validate\u001b[0;34m(self, ds_idx, dl)\u001b[0m\n\u001b[1;32m    242\u001b[0m \u001b[39mif\u001b[39;00m dl \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m: dl \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdls[ds_idx]\n\u001b[1;32m    243\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdl \u001b[39m=\u001b[39m dl\n\u001b[0;32m--> 244\u001b[0m \u001b[39mwith\u001b[39;00m torch\u001b[39m.\u001b[39mno_grad(): \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_with_events(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mall_batches, \u001b[39m'\u001b[39;49m\u001b[39mvalidate\u001b[39;49m\u001b[39m'\u001b[39;49m, CancelValidException)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/learner.py:199\u001b[0m, in \u001b[0;36mLearner._with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    198\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_with_events\u001b[39m(\u001b[39mself\u001b[39m, f, event_type, ex, final\u001b[39m=\u001b[39mnoop):\n\u001b[0;32m--> 199\u001b[0m     \u001b[39mtry\u001b[39;00m: \u001b[39mself\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mbefore_\u001b[39m\u001b[39m{\u001b[39;00mevent_type\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m);  f()\n\u001b[1;32m    200\u001b[0m     \u001b[39mexcept\u001b[39;00m ex: \u001b[39mself\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mafter_cancel_\u001b[39m\u001b[39m{\u001b[39;00mevent_type\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m)\n\u001b[1;32m    201\u001b[0m     \u001b[39mself\u001b[39m(\u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mafter_\u001b[39m\u001b[39m{\u001b[39;00mevent_type\u001b[39m}\u001b[39;00m\u001b[39m'\u001b[39m);  final()\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/learner.py:205\u001b[0m, in \u001b[0;36mLearner.all_batches\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    203\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mall_batches\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m    204\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mn_iter \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdl)\n\u001b[0;32m--> 205\u001b[0m     \u001b[39mfor\u001b[39;00m o \u001b[39min\u001b[39;00m \u001b[39menumerate\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdl): \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mone_batch(\u001b[39m*\u001b[39mo)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/load.py:127\u001b[0m, in \u001b[0;36mDataLoader.__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    125\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbefore_iter()\n\u001b[1;32m    126\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m__idxs\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_idxs() \u001b[39m# called in context of main process (not workers/subprocesses)\u001b[39;00m\n\u001b[0;32m--> 127\u001b[0m \u001b[39mfor\u001b[39;00m b \u001b[39min\u001b[39;00m _loaders[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfake_l\u001b[39m.\u001b[39mnum_workers\u001b[39m==\u001b[39m\u001b[39m0\u001b[39m](\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfake_l):\n\u001b[1;32m    128\u001b[0m     \u001b[39m# pin_memory causes tuples to be converted to lists, so convert them back to tuples\u001b[39;00m\n\u001b[1;32m    129\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpin_memory \u001b[39mand\u001b[39;00m \u001b[39mtype\u001b[39m(b) \u001b[39m==\u001b[39m \u001b[39mlist\u001b[39m: b \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(b)\n\u001b[1;32m    130\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdevice \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m: b \u001b[39m=\u001b[39m to_device(b, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdevice)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/torch/utils/data/dataloader.py:628\u001b[0m, in \u001b[0;36m_BaseDataLoaderIter.__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    625\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_sampler_iter \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m    626\u001b[0m     \u001b[39m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[39;00m\n\u001b[1;32m    627\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_reset()  \u001b[39m# type: ignore[call-arg]\u001b[39;00m\n\u001b[0;32m--> 628\u001b[0m data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_next_data()\n\u001b[1;32m    629\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_num_yielded \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n\u001b[1;32m    630\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_dataset_kind \u001b[39m==\u001b[39m _DatasetKind\u001b[39m.\u001b[39mIterable \u001b[39mand\u001b[39;00m \\\n\u001b[1;32m    631\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_IterableDataset_len_called \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \\\n\u001b[1;32m    632\u001b[0m         \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_num_yielded \u001b[39m>\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_IterableDataset_len_called:\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/torch/utils/data/dataloader.py:671\u001b[0m, in \u001b[0;36m_SingleProcessDataLoaderIter._next_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    669\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_next_data\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m    670\u001b[0m     index \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_next_index()  \u001b[39m# may raise StopIteration\u001b[39;00m\n\u001b[0;32m--> 671\u001b[0m     data \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_dataset_fetcher\u001b[39m.\u001b[39;49mfetch(index)  \u001b[39m# may raise StopIteration\u001b[39;00m\n\u001b[1;32m    672\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_pin_memory:\n\u001b[1;32m    673\u001b[0m         data \u001b[39m=\u001b[39m _utils\u001b[39m.\u001b[39mpin_memory\u001b[39m.\u001b[39mpin_memory(data, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_pin_memory_device)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py:43\u001b[0m, in \u001b[0;36m_IterableDatasetFetcher.fetch\u001b[0;34m(self, possibly_batched_index)\u001b[0m\n\u001b[1;32m     41\u001b[0m         \u001b[39mraise\u001b[39;00m \u001b[39mStopIteration\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m---> 43\u001b[0m     data \u001b[39m=\u001b[39m \u001b[39mnext\u001b[39;49m(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset_iter)\n\u001b[1;32m     44\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcollate_fn(data)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/load.py:138\u001b[0m, in \u001b[0;36mDataLoader.create_batches\u001b[0;34m(self, samps)\u001b[0m\n\u001b[1;32m    136\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m: \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mit \u001b[39m=\u001b[39m \u001b[39miter\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdataset)\n\u001b[1;32m    137\u001b[0m res \u001b[39m=\u001b[39m \u001b[39mfilter\u001b[39m(\u001b[39mlambda\u001b[39;00m o:o \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m, \u001b[39mmap\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdo_item, samps))\n\u001b[0;32m--> 138\u001b[0m \u001b[39myield from\u001b[39;00m \u001b[39mmap\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdo_batch, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mchunkify(res))\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/basics.py:230\u001b[0m, in \u001b[0;36mchunked\u001b[0;34m(it, chunk_sz, drop_last, n_chunks)\u001b[0m\n\u001b[1;32m    228\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(it, Iterator): it \u001b[39m=\u001b[39m \u001b[39miter\u001b[39m(it)\n\u001b[1;32m    229\u001b[0m \u001b[39mwhile\u001b[39;00m \u001b[39mTrue\u001b[39;00m:\n\u001b[0;32m--> 230\u001b[0m     res \u001b[39m=\u001b[39m \u001b[39mlist\u001b[39;49m(itertools\u001b[39m.\u001b[39;49mislice(it, chunk_sz))\n\u001b[1;32m    231\u001b[0m     \u001b[39mif\u001b[39;00m res \u001b[39mand\u001b[39;00m (\u001b[39mlen\u001b[39m(res)\u001b[39m==\u001b[39mchunk_sz \u001b[39mor\u001b[39;00m \u001b[39mnot\u001b[39;00m drop_last): \u001b[39myield\u001b[39;00m res\n\u001b[1;32m    232\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(res)\u001b[39m<\u001b[39mchunk_sz: \u001b[39mreturn\u001b[39;00m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/load.py:153\u001b[0m, in \u001b[0;36mDataLoader.do_item\u001b[0;34m(self, s)\u001b[0m\n\u001b[1;32m    152\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdo_item\u001b[39m(\u001b[39mself\u001b[39m, s):\n\u001b[0;32m--> 153\u001b[0m     \u001b[39mtry\u001b[39;00m: \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mafter_item(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcreate_item(s))\n\u001b[1;32m    154\u001b[0m     \u001b[39mexcept\u001b[39;00m SkipItemException: \u001b[39mreturn\u001b[39;00m \u001b[39mNone\u001b[39;00m\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/load.py:160\u001b[0m, in \u001b[0;36mDataLoader.create_item\u001b[0;34m(self, s)\u001b[0m\n\u001b[1;32m    159\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcreate_item\u001b[39m(\u001b[39mself\u001b[39m, s):\n\u001b[0;32m--> 160\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mindexed: \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdataset[s \u001b[39mor\u001b[39;49;00m \u001b[39m0\u001b[39;49m]\n\u001b[1;32m    161\u001b[0m     \u001b[39melif\u001b[39;00m s \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:  \u001b[39mreturn\u001b[39;00m \u001b[39mnext\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mit)\n\u001b[1;32m    162\u001b[0m     \u001b[39melse\u001b[39;00m: \u001b[39mraise\u001b[39;00m \u001b[39mIndexError\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mCannot index an iterable dataset numerically - must use `None`.\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/core.py:458\u001b[0m, in \u001b[0;36mDatasets.__getitem__\u001b[0;34m(self, it)\u001b[0m\n\u001b[1;32m    457\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__getitem__\u001b[39m(\u001b[39mself\u001b[39m, it):\n\u001b[0;32m--> 458\u001b[0m     res \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m([tl[it] \u001b[39mfor\u001b[39;00m tl \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtls])\n\u001b[1;32m    459\u001b[0m     \u001b[39mreturn\u001b[39;00m res \u001b[39mif\u001b[39;00m is_indexer(it) \u001b[39melse\u001b[39;00m \u001b[39mlist\u001b[39m(\u001b[39mzip\u001b[39m(\u001b[39m*\u001b[39mres))\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/core.py:458\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    457\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__getitem__\u001b[39m(\u001b[39mself\u001b[39m, it):\n\u001b[0;32m--> 458\u001b[0m     res \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m([tl[it] \u001b[39mfor\u001b[39;00m tl \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtls])\n\u001b[1;32m    459\u001b[0m     \u001b[39mreturn\u001b[39;00m res \u001b[39mif\u001b[39;00m is_indexer(it) \u001b[39melse\u001b[39;00m \u001b[39mlist\u001b[39m(\u001b[39mzip\u001b[39m(\u001b[39m*\u001b[39mres))\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/core.py:417\u001b[0m, in \u001b[0;36mTfmdLists.__getitem__\u001b[0;34m(self, idx)\u001b[0m\n\u001b[1;32m    415\u001b[0m res \u001b[39m=\u001b[39m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39m\u001b[39m__getitem__\u001b[39m(idx)\n\u001b[1;32m    416\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_after_item \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m: \u001b[39mreturn\u001b[39;00m res\n\u001b[0;32m--> 417\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_after_item(res) \u001b[39mif\u001b[39;00m is_indexer(idx) \u001b[39melse\u001b[39;00m res\u001b[39m.\u001b[39mmap(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_after_item)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/data/core.py:377\u001b[0m, in \u001b[0;36mTfmdLists._after_item\u001b[0;34m(self, o)\u001b[0m\n\u001b[0;32m--> 377\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_after_item\u001b[39m(\u001b[39mself\u001b[39m, o): \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtfms(o)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/transform.py:208\u001b[0m, in \u001b[0;36mPipeline.__call__\u001b[0;34m(self, o)\u001b[0m\n\u001b[0;32m--> 208\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, o): \u001b[39mreturn\u001b[39;00m compose_tfms(o, tfms\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfs, split_idx\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49msplit_idx)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/transform.py:158\u001b[0m, in \u001b[0;36mcompose_tfms\u001b[0;34m(x, tfms, is_enc, reverse, **kwargs)\u001b[0m\n\u001b[1;32m    156\u001b[0m \u001b[39mfor\u001b[39;00m f \u001b[39min\u001b[39;00m tfms:\n\u001b[1;32m    157\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m is_enc: f \u001b[39m=\u001b[39m f\u001b[39m.\u001b[39mdecode\n\u001b[0;32m--> 158\u001b[0m     x \u001b[39m=\u001b[39m f(x, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m    159\u001b[0m \u001b[39mreturn\u001b[39;00m x\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/transform.py:81\u001b[0m, in \u001b[0;36mTransform.__call__\u001b[0;34m(self, x, **kwargs)\u001b[0m\n\u001b[0;32m---> 81\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__call__\u001b[39m(\u001b[39mself\u001b[39m, x, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs): \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_call(\u001b[39m'\u001b[39;49m\u001b[39mencodes\u001b[39;49m\u001b[39m'\u001b[39;49m, x, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/transform.py:91\u001b[0m, in \u001b[0;36mTransform._call\u001b[0;34m(self, fn, x, split_idx, **kwargs)\u001b[0m\n\u001b[1;32m     89\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_call\u001b[39m(\u001b[39mself\u001b[39m, fn, x, split_idx\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[1;32m     90\u001b[0m     \u001b[39mif\u001b[39;00m split_idx\u001b[39m!=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39msplit_idx \u001b[39mand\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39msplit_idx \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m: \u001b[39mreturn\u001b[39;00m x\n\u001b[0;32m---> 91\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_do_call(\u001b[39mgetattr\u001b[39;49m(\u001b[39mself\u001b[39;49m, fn), x, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/transform.py:97\u001b[0m, in \u001b[0;36mTransform._do_call\u001b[0;34m(self, f, x, **kwargs)\u001b[0m\n\u001b[1;32m     95\u001b[0m     \u001b[39mif\u001b[39;00m f \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m: \u001b[39mreturn\u001b[39;00m x\n\u001b[1;32m     96\u001b[0m     ret \u001b[39m=\u001b[39m f\u001b[39m.\u001b[39mreturns(x) \u001b[39mif\u001b[39;00m \u001b[39mhasattr\u001b[39m(f,\u001b[39m'\u001b[39m\u001b[39mreturns\u001b[39m\u001b[39m'\u001b[39m) \u001b[39melse\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m---> 97\u001b[0m     \u001b[39mreturn\u001b[39;00m retain_type(f(x, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs), x, ret)\n\u001b[1;32m     98\u001b[0m res \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_do_call(f, x_, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs) \u001b[39mfor\u001b[39;00m x_ \u001b[39min\u001b[39;00m x)\n\u001b[1;32m     99\u001b[0m \u001b[39mreturn\u001b[39;00m retain_type(res, x)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastcore/dispatch.py:120\u001b[0m, in \u001b[0;36mTypeDispatch.__call__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    118\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39minst \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m: f \u001b[39m=\u001b[39m MethodType(f, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39minst)\n\u001b[1;32m    119\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mowner \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m: f \u001b[39m=\u001b[39m MethodType(f, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mowner)\n\u001b[0;32m--> 120\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/vision/core.py:125\u001b[0m, in \u001b[0;36mPILBase.create\u001b[0;34m(cls, fn, **kwargs)\u001b[0m\n\u001b[1;32m    123\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(fn,\u001b[39mbytes\u001b[39m): fn \u001b[39m=\u001b[39m io\u001b[39m.\u001b[39mBytesIO(fn)\n\u001b[1;32m    124\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(fn,Image\u001b[39m.\u001b[39mImage) \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39misinstance\u001b[39m(fn,\u001b[39mcls\u001b[39m): \u001b[39mreturn\u001b[39;00m \u001b[39mcls\u001b[39m(fn)\n\u001b[0;32m--> 125\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mcls\u001b[39m(load_image(fn, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mmerge(\u001b[39mcls\u001b[39;49m\u001b[39m.\u001b[39;49m_open_args, kwargs)))\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/fastai/vision/core.py:98\u001b[0m, in \u001b[0;36mload_image\u001b[0;34m(fn, mode)\u001b[0m\n\u001b[1;32m     96\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mload_image\u001b[39m(fn, mode\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m     97\u001b[0m     \u001b[39m\"\u001b[39m\u001b[39mOpen and load a `PIL.Image` and convert to `mode`\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m---> 98\u001b[0m     im \u001b[39m=\u001b[39m Image\u001b[39m.\u001b[39;49mopen(fn)\n\u001b[1;32m     99\u001b[0m     im\u001b[39m.\u001b[39mload()\n\u001b[1;32m    100\u001b[0m     im \u001b[39m=\u001b[39m im\u001b[39m.\u001b[39m_new(im\u001b[39m.\u001b[39mim)\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/PIL/Image.py:3236\u001b[0m, in \u001b[0;36mopen\u001b[0;34m(fp, mode, formats)\u001b[0m\n\u001b[1;32m   3233\u001b[0m     fp \u001b[39m=\u001b[39m io\u001b[39m.\u001b[39mBytesIO(fp\u001b[39m.\u001b[39mread())\n\u001b[1;32m   3234\u001b[0m     exclusive_fp \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n\u001b[0;32m-> 3236\u001b[0m prefix \u001b[39m=\u001b[39m fp\u001b[39m.\u001b[39;49mread(\u001b[39m16\u001b[39m)\n\u001b[1;32m   3238\u001b[0m preinit()\n\u001b[1;32m   3240\u001b[0m accept_warnings \u001b[39m=\u001b[39m []\n",
      "File \u001b[0;32m/opt/homebrew/Caskroom/mambaforge/base/lib/python3.10/site-packages/PIL/Image.py:529\u001b[0m, in \u001b[0;36mImage.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m    527\u001b[0m     deprecate(\u001b[39m\"\u001b[39m\u001b[39mImage categories\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m10\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mis_animated\u001b[39m\u001b[39m\"\u001b[39m, plural\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[1;32m    528\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_category\n\u001b[0;32m--> 529\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mAttributeError\u001b[39;00m(name)\n",
      "\u001b[0;31mAttributeError\u001b[0m: read"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "img = PILImage.create(uploader.data[0])\n",
    "is_cat,_,probs = learn.predict(img)\n",
    "print(f\"Is this a cat?: {is_cat}.\")\n",
    "print(f\"Probability it's a cat: {probs[1].item():.6f}\")"
   ]
  }
 ],
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