{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d153091f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "185bb206",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "\n",
    "def is_Nike(x): return x[0].isupper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bb2a5155",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "PILImage mode=RGB size=192x92"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = PILImage.create('nike.jpg')\n",
    "im.thumbnail((192, 192))\n",
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9a347aa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e910c328",
   "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": [
       "('Nike', tensor(1), tensor([0.0123, 0.9846, 0.0030]))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "788ca2aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Nike', 'Adidas', 'Vans')\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": 8,
   "id": "3af72a0e",
   "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": [
       "{'Nike': 0.012349084950983524,\n",
       " 'Adidas': 0.984638512134552,\n",
       " 'Vans': 0.0030123384203761816}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "14ea9dc4",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'adidas_test.jpg'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[11], line 6\u001b[0m\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;124madidas_test.jpg\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnike_teste.jpg\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvans.jpg\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 6\u001b[0m intf \u001b[38;5;241m=\u001b[39m \u001b[43mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mInterface\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclassify_image\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moutputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexamples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexamples\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m intf\u001b[38;5;241m.\u001b[39mlaunch(inline\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/interface.py:455\u001b[0m, in \u001b[0;36mInterface.__init__\u001b[0;34m(self, fn, inputs, outputs, examples, cache_examples, examples_per_page, live, interpretation, num_shap, title, description, article, thumbnail, theme, css, allow_flagging, flagging_options, flagging_dir, flagging_callback, analytics_enabled, batch, max_batch_size, _api_mode, **kwargs)\u001b[0m\n\u001b[1;32m    447\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattach_interpretation_events(\n\u001b[1;32m    448\u001b[0m         interpretation_btn,\n\u001b[1;32m    449\u001b[0m         interpretation_set,\n\u001b[1;32m    450\u001b[0m         input_component_column,\n\u001b[1;32m    451\u001b[0m         interpret_component_column,\n\u001b[1;32m    452\u001b[0m     )\n\u001b[1;32m    454\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattach_flagging_events(flag_btns, clear_btn)\n\u001b[0;32m--> 455\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrender_examples\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    456\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrender_article()\n\u001b[1;32m    458\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mconfig \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_config_file()\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/interface.py:771\u001b[0m, in \u001b[0;36mInterface.render_examples\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    765\u001b[0m non_state_inputs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    766\u001b[0m     c \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minput_components \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, State)\n\u001b[1;32m    767\u001b[0m ]\n\u001b[1;32m    768\u001b[0m non_state_outputs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    769\u001b[0m     c \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moutput_components \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(c, State)\n\u001b[1;32m    770\u001b[0m ]\n\u001b[0;32m--> 771\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mexamples_handler \u001b[38;5;241m=\u001b[39m \u001b[43mExamples\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    772\u001b[0m \u001b[43m    \u001b[49m\u001b[43mexamples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexamples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    773\u001b[0m \u001b[43m    \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnon_state_inputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore\u001b[39;49;00m\n\u001b[1;32m    774\u001b[0m \u001b[43m    \u001b[49m\u001b[43moutputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnon_state_outputs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore\u001b[39;49;00m\n\u001b[1;32m    775\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    776\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcache_examples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcache_examples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    777\u001b[0m \u001b[43m    \u001b[49m\u001b[43mexamples_per_page\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexamples_per_page\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    778\u001b[0m \u001b[43m    \u001b[49m\u001b[43m_api_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapi_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    779\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbatch\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    780\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/helpers.py:55\u001b[0m, in \u001b[0;36mcreate_examples\u001b[0;34m(examples, inputs, outputs, fn, cache_examples, examples_per_page, _api_mode, label, elem_id, run_on_click, preprocess, postprocess, batch)\u001b[0m\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcreate_examples\u001b[39m(\n\u001b[1;32m     40\u001b[0m     examples: List[Any] \u001b[38;5;241m|\u001b[39m List[List[Any]] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m     41\u001b[0m     inputs: IOComponent \u001b[38;5;241m|\u001b[39m List[IOComponent],\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     52\u001b[0m     batch: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m     53\u001b[0m ):\n\u001b[1;32m     54\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Top-level synchronous function that creates Examples. Provided for backwards compatibility, i.e. so that gr.Examples(...) can be used to create the Examples component.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 55\u001b[0m     examples_obj \u001b[38;5;241m=\u001b[39m \u001b[43mExamples\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     56\u001b[0m \u001b[43m        \u001b[49m\u001b[43mexamples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexamples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     57\u001b[0m \u001b[43m        \u001b[49m\u001b[43minputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     58\u001b[0m \u001b[43m        \u001b[49m\u001b[43moutputs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moutputs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     59\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfn\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfn\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     60\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcache_examples\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache_examples\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     61\u001b[0m \u001b[43m        \u001b[49m\u001b[43mexamples_per_page\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexamples_per_page\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     62\u001b[0m \u001b[43m        \u001b[49m\u001b[43m_api_mode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_api_mode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     63\u001b[0m \u001b[43m        \u001b[49m\u001b[43mlabel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[43m        \u001b[49m\u001b[43melem_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43melem_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     65\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrun_on_click\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_on_click\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     66\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpreprocess\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpreprocess\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     67\u001b[0m \u001b[43m        \u001b[49m\u001b[43mpostprocess\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpostprocess\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     68\u001b[0m \u001b[43m        \u001b[49m\u001b[43mbatch\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbatch\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     69\u001b[0m \u001b[43m        \u001b[49m\u001b[43m_initiated_directly\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     70\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     71\u001b[0m     client_utils\u001b[38;5;241m.\u001b[39msynchronize_async(examples_obj\u001b[38;5;241m.\u001b[39mcreate)\n\u001b[1;32m     72\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m examples_obj\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/helpers.py:202\u001b[0m, in \u001b[0;36mExamples.__init__\u001b[0;34m(self, examples, inputs, outputs, fn, cache_examples, examples_per_page, _api_mode, label, elem_id, run_on_click, preprocess, postprocess, batch, _initiated_directly)\u001b[0m\n\u001b[1;32m    199\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbatch \u001b[38;5;241m=\u001b[39m batch\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m utils\u001b[38;5;241m.\u001b[39mset_directory(working_directory):\n\u001b[0;32m--> 202\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    203\u001b[0m         [\n\u001b[1;32m    204\u001b[0m             component\u001b[38;5;241m.\u001b[39mpostprocess(sample)\n\u001b[1;32m    205\u001b[0m             \u001b[38;5;28;01mfor\u001b[39;00m component, sample \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(inputs, example)\n\u001b[1;32m    206\u001b[0m         ]\n\u001b[1;32m    207\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m examples\n\u001b[1;32m    208\u001b[0m     ]\n\u001b[1;32m    209\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnon_none_processed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    210\u001b[0m     [ex \u001b[38;5;28;01mfor\u001b[39;00m (ex, keep) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(example, input_has_examples) \u001b[38;5;28;01mif\u001b[39;00m keep]\n\u001b[1;32m    211\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples\n\u001b[1;32m    212\u001b[0m ]\n\u001b[1;32m    213\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache_examples:\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/helpers.py:203\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    199\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbatch \u001b[38;5;241m=\u001b[39m batch\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m utils\u001b[38;5;241m.\u001b[39mset_directory(working_directory):\n\u001b[1;32m    202\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[0;32m--> 203\u001b[0m         [\n\u001b[1;32m    204\u001b[0m             component\u001b[38;5;241m.\u001b[39mpostprocess(sample)\n\u001b[1;32m    205\u001b[0m             \u001b[38;5;28;01mfor\u001b[39;00m component, sample \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(inputs, example)\n\u001b[1;32m    206\u001b[0m         ]\n\u001b[1;32m    207\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m examples\n\u001b[1;32m    208\u001b[0m     ]\n\u001b[1;32m    209\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnon_none_processed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    210\u001b[0m     [ex \u001b[38;5;28;01mfor\u001b[39;00m (ex, keep) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(example, input_has_examples) \u001b[38;5;28;01mif\u001b[39;00m keep]\n\u001b[1;32m    211\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples\n\u001b[1;32m    212\u001b[0m ]\n\u001b[1;32m    213\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache_examples:\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/helpers.py:204\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    199\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbatch \u001b[38;5;241m=\u001b[39m batch\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m utils\u001b[38;5;241m.\u001b[39mset_directory(working_directory):\n\u001b[1;32m    202\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    203\u001b[0m         [\n\u001b[0;32m--> 204\u001b[0m             \u001b[43mcomponent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpostprocess\u001b[49m\u001b[43m(\u001b[49m\u001b[43msample\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    205\u001b[0m             \u001b[38;5;28;01mfor\u001b[39;00m component, sample \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(inputs, example)\n\u001b[1;32m    206\u001b[0m         ]\n\u001b[1;32m    207\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m examples\n\u001b[1;32m    208\u001b[0m     ]\n\u001b[1;32m    209\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnon_none_processed_examples \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m    210\u001b[0m     [ex \u001b[38;5;28;01mfor\u001b[39;00m (ex, keep) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(example, input_has_examples) \u001b[38;5;28;01mif\u001b[39;00m keep]\n\u001b[1;32m    211\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m example \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprocessed_examples\n\u001b[1;32m    212\u001b[0m ]\n\u001b[1;32m    213\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cache_examples:\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio/components.py:1797\u001b[0m, in \u001b[0;36mImage.postprocess\u001b[0;34m(self, y)\u001b[0m\n\u001b[1;32m   1795\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m processing_utils\u001b[38;5;241m.\u001b[39mencode_pil_to_base64(y)\n\u001b[1;32m   1796\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(y, (\u001b[38;5;28mstr\u001b[39m, Path)):\n\u001b[0;32m-> 1797\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mclient_utils\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode_url_or_file_to_base64\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1798\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1799\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot process this value as an Image\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio_client/utils.py:277\u001b[0m, in \u001b[0;36mencode_url_or_file_to_base64\u001b[0;34m(path)\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m encode_url_to_base64(path)\n\u001b[1;32m    276\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 277\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mencode_file_to_base64\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/opt/mambaforge/envs/fastai/lib/python3.10/site-packages/gradio_client/utils.py:251\u001b[0m, in \u001b[0;36mencode_file_to_base64\u001b[0;34m(f)\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mencode_file_to_base64\u001b[39m(f):\n\u001b[0;32m--> 251\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m file:\n\u001b[1;32m    252\u001b[0m         encoded_string \u001b[38;5;241m=\u001b[39m base64\u001b[38;5;241m.\u001b[39mb64encode(file\u001b[38;5;241m.\u001b[39mread())\n\u001b[1;32m    253\u001b[0m         base64_str \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(encoded_string, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'adidas_test.jpg'"
     ]
    }
   ],
   "source": [
    "#|export\n",
    "image = gr.inputs.Image(shape=(192, 192))\n",
    "label = gr.outputs.Label()\n",
    "examples = ['adidas_test.jpg', 'nike_teste.jpg', 'vans.jpg']\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf707474",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = learn.model"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
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 "nbformat": 4,
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