{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp app"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bear Detector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": 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",
      "text/plain": [
       "PILImage mode=RGB size=192x128"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grizzly = PILImage.create('grizzly.jpg')\n",
    "grizzly.thumbnail((192, 192))\n",
    "grizzly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
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",
      "text/plain": [
       "PILImage mode=RGB size=192x154"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "black = PILImage.create('black.jpg')\n",
    "black.thumbnail((192, 192))\n",
    "black"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
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",
      "text/plain": [
       "PILImage mode=RGB size=192x192"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "teddy = PILImage.create('teddy.jpg')\n",
    "teddy.thumbnail((192, 192))\n",
    "teddy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "learn = load_learner('export.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
       "('grizzly', tensor(1), tensor([1.5268e-06, 1.0000e+00, 2.5096e-07]))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn.predict(grizzly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "categories = ('Black Bear', 'Grizzly Bear', 'Teddy Bear')\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": 9,
   "metadata": {},
   "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"
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     "data": {
      "text/plain": [
       "{'Black Bear': 1.526799678686075e-06,\n",
       " 'Grizzly Bear': 0.9999982118606567,\n",
       " 'Teddy Bear': 2.509631258362788e-07}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classify_image(grizzly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7860\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "\n",
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       "    /* 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"
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       "<IPython.core.display.HTML object>"
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      "text/html": [],
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       "<IPython.core.display.HTML object>"
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     "output_type": "display_data"
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     "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>"
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     "metadata": {},
     "output_type": "display_data"
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      "text/html": [],
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       "<IPython.core.display.HTML object>"
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     "metadata": {},
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    },
    {
     "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"
      ],
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       "<IPython.core.display.HTML object>"
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   ],
   "source": [
    "#|export\n",
    "image = gr.components.Image(width=192, height=192)\n",
    "label = gr.components.Label()\n",
    "examples = ['black.jpg', 'grizzly.jpg', 'teddy.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": 14,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
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       "\u001b[0;34m\u001b[0m    \u001b[0mvalue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'str | PIL.Image.Image | np.ndarray | Callable | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m*\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mformat\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'str'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'webp'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mheight\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int | str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mwidth\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int | str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mimage_mode\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Literal['1', 'L', 'P', 'RGB', 'RGBA', 'CMYK', 'YCbCr', 'LAB', 'HSV', 'I', 'F']\"\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'RGB'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
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       "\u001b[0;34m\u001b[0m    \u001b[0mtype\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m\"Literal['numpy', 'pil', 'filepath']\"\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'numpy'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlabel\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mevery\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'Timer | float | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0minputs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'Component | Sequence[Component] | set[Component] | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshow_label\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshow_download_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcontainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mscale\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmin_width\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m160\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0minteractive\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvisible\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mstreaming\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0melem_id\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0melem_classes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'list[str] | str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mrender\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'int | str | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmirror_webcam\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshow_share_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool | None'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshow_fullscreen_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'bool'\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mSource:\u001b[0m        \n",
       "\u001b[0;34m@\u001b[0m\u001b[0mdocument\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;32mclass\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mStreamingInput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mComponent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m\"\"\"\u001b[0m\n",
       "\u001b[0;34m    Creates an image component that can be used to upload images (as an input) or display images (as an output).\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    Demos: sepia_filter, fake_diffusion\u001b[0m\n",
       "\u001b[0;34m    Guides: image-classification-in-pytorch, image-classification-in-tensorflow, image-classification-with-vision-transformers, create-your-own-friends-with-a-gan\u001b[0m\n",
       "\u001b[0;34m    \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mEVENTS\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclear\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchange\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mselect\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mEvents\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mdata_model\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFileData\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mvalue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPIL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mCallable\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m*\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mformat\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"webp\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mheight\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mwidth\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mimage_mode\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mLiteral\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m\"1\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"L\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"P\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"RGB\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"RGBA\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"CMYK\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"YCbCr\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"LAB\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"HSV\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"I\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"F\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"RGB\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0msources\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mLiteral\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"upload\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"clipboard\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m|\u001b[0m \u001b[0mLiteral\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"upload\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"clipboard\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mtype\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mLiteral\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"numpy\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"pil\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"filepath\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"numpy\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mlabel\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mevery\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTimer\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mfloat\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0minputs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mComponent\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mSequence\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mComponent\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mComponent\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mshow_label\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mshow_download_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mcontainer\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mscale\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mmin_width\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m160\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0minteractive\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mvisible\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mstreaming\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0melem_id\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0melem_classes\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mrender\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mmirror_webcam\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mshow_share_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mshow_fullscreen_button\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbool\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m\"\"\"\u001b[0m\n",
       "\u001b[0;34m        Parameters:\u001b[0m\n",
       "\u001b[0;34m            value: A PIL Image, numpy array, path or URL for the default value that Image component is going to take. If callable, the function will be called whenever the app loads to set the initial value of the component.\u001b[0m\n",
       "\u001b[0;34m            format: File format (e.g. \"png\" or \"gif\") to save image if it does not already have a valid format (e.g. if the image is being returned to the frontend as a numpy array or PIL Image).  The format should be supported by the PIL library. This parameter has no effect on SVG files.\u001b[0m\n",
       "\u001b[0;34m            height: The height of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.\u001b[0m\n",
       "\u001b[0;34m            width: The width of the displayed image, specified in pixels if a number is passed, or in CSS units if a string is passed.\u001b[0m\n",
       "\u001b[0;34m            image_mode: \"RGB\" if color, or \"L\" if black and white. See https://pillow.readthedocs.io/en/stable/handbook/concepts.html for other supported image modes and their meaning. This parameter has no effect on SVG or GIF files.\u001b[0m\n",
       "\u001b[0;34m            sources: List of sources for the image. \"upload\" creates a box where user can drop an image file, \"webcam\" allows user to take snapshot from their webcam, \"clipboard\" allows users to paste an image from the clipboard. If None, defaults to [\"upload\", \"webcam\", \"clipboard\"] if streaming is False, otherwise defaults to [\"webcam\"].\u001b[0m\n",
       "\u001b[0;34m            type: The format the image is converted before being passed into the prediction function. \"numpy\" converts the image to a numpy array with shape (height, width, 3) and values from 0 to 255, \"pil\" converts the image to a PIL image object, \"filepath\" passes a str path to a temporary file containing the image. If the image is SVG, the `type` is ignored and the filepath of the SVG is returned. To support animated GIFs in input, the `type` should be set to \"filepath\" or \"pil\".\u001b[0m\n",
       "\u001b[0;34m            label: The label for this component. Appears above the component and is also used as the header if there are a table of examples for this component. If None and used in a `gr.Interface`, the label will be the name of the parameter this component is assigned to.\u001b[0m\n",
       "\u001b[0;34m            every: Continously calls `value` to recalculate it if `value` is a function (has no effect otherwise). Can provide a Timer whose tick resets `value`, or a float that provides the regular interval for the reset Timer.\u001b[0m\n",
       "\u001b[0;34m            inputs: Components that are used as inputs to calculate `value` if `value` is a function (has no effect otherwise). `value` is recalculated any time the inputs change.\u001b[0m\n",
       "\u001b[0;34m            show_label: if True, will display label.\u001b[0m\n",
       "\u001b[0;34m            show_download_button: If True, will display button to download image.\u001b[0m\n",
       "\u001b[0;34m            container: If True, will place the component in a container - providing some extra padding around the border.\u001b[0m\n",
       "\u001b[0;34m            scale: relative size compared to adjacent Components. For example if Components A and B are in a Row, and A has scale=2, and B has scale=1, A will be twice as wide as B. Should be an integer. scale applies in Rows, and to top-level Components in Blocks where fill_height=True.\u001b[0m\n",
       "\u001b[0;34m            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.\u001b[0m\n",
       "\u001b[0;34m            interactive: if True, will allow users to upload and edit an image; if False, can only be used to display images. If not provided, this is inferred based on whether the component is used as an input or output.\u001b[0m\n",
       "\u001b[0;34m            visible: If False, component will be hidden.\u001b[0m\n",
       "\u001b[0;34m            streaming: If True when used in a `live` interface, will automatically stream webcam feed. Only valid is source is 'webcam'.\u001b[0m\n",
       "\u001b[0;34m            elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.\u001b[0m\n",
       "\u001b[0;34m            elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.\u001b[0m\n",
       "\u001b[0;34m            render: If False, component will not render be rendered in the Blocks context. Should be used if the intention is to assign event listeners now but render the component later.\u001b[0m\n",
       "\u001b[0;34m            key: if assigned, will be used to assume identity across a re-render. Components that have the same key across a re-render will have their value preserved.\u001b[0m\n",
       "\u001b[0;34m            mirror_webcam: If True webcam will be mirrored. Default is True.\u001b[0m\n",
       "\u001b[0;34m            show_share_button: If True, will show a share icon in the corner of the component that allows user to share outputs to Hugging Face Spaces Discussions. If False, icon does not appear. If set to None (default behavior), then the icon appears if this Gradio app is launched on Spaces, but not otherwise.\u001b[0m\n",
       "\u001b[0;34m            show_fullscreen_button: If True, will show a fullscreen icon in the corner of the component that allows user to view the image in fullscreen mode. If False, icon does not appear.\u001b[0m\n",
       "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmirror_webcam\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmirror_webcam\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mvalid_types\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"numpy\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"pil\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"filepath\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mtype\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalid_types\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34mf\"\u001b[0m\u001b[0;34mInvalid value for parameter `type`: \u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m. Please choose from one of: \u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mvalid_types\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwidth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimage_mode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimage_mode\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mvalid_sources\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"upload\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"clipboard\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0msources\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34m[\u001b[0m\u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mstreaming\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"upload\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"clipboard\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msources\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0msources\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msources\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mfor\u001b[0m \u001b[0msource\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# type: ignore\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0msource\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalid_sources\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;34mf\"\u001b[0m\u001b[0;34m`sources` must a list consisting of elements in \u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mvalid_sources\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstreaming\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstreaming\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_download_button\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshow_download_button\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mstreaming\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34m\"Image streaming only available if sources is ['webcam']. Streaming not supported with multiple sources.\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_share_button\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m(\u001b[0m\u001b[0mutils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_space\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0mshow_share_button\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32melse\u001b[0m \u001b[0mshow_share_button\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow_fullscreen_button\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mshow_fullscreen_button\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mevery\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mevery\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mshow_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mshow_label\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mcontainer\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontainer\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mscale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mscale\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mmin_width\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmin_width\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0minteractive\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minteractive\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvisible\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvisible\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0melem_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0melem_id\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0melem_classes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0melem_classes\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mrender\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrender\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvalue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0mpreprocess\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpayload\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mFileData\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPIL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m\"\"\"\u001b[0m\n",
       "\u001b[0;34m        Parameters:\u001b[0m\n",
       "\u001b[0;34m            payload: image data in the form of a FileData object\u001b[0m\n",
       "\u001b[0;34m        Returns:\u001b[0m\n",
       "\u001b[0;34m            Passes the uploaded image as a `numpy.array`, `PIL.Image` or `str` filepath depending on `type`. For SVGs, the `type` parameter is ignored and the filepath of the SVG is returned.\u001b[0m\n",
       "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mpayload\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0mpayload\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mfile_path\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpayload\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mpayload\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morig_name\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpayload\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morig_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstem\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0msuffix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msuffix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\".\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0msuffix\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"jpg\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"jpeg\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0msuffix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"jpeg\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"image\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0msuffix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"webp\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0msuffix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"svg\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPIL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfile_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mexif\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetexif\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# 274 is the code for image rotation and 1 means \"correct orientation\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mexif\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m274\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mImageOps\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"exif_transpose\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImageOps\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexif_transpose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;34mf\"\u001b[0m\u001b[0;34mFailed to transpose image \u001b[0m\u001b[0;34m{\u001b[0m\u001b[0mfile_path\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m based on EXIF data.\u001b[0m\u001b[0;34m\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0msuffix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"gif\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mim\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mwith\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcatch_warnings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimplefilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ignore\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimage_mode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0mimage_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mim\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mLiteral\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"numpy\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"pil\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"filepath\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGRADIO_CACHE\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mformat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msuffix\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0mpostprocess\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPIL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mImage\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mstr\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0mPath\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mFileData\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m\"\"\"\u001b[0m\n",
       "\u001b[0;34m        Parameters:\u001b[0m\n",
       "\u001b[0;34m            value: Expects a `numpy.array`, `PIL.Image`, or `str` or `pathlib.Path` filepath to an image which is displayed.\u001b[0m\n",
       "\u001b[0;34m        Returns:\u001b[0m\n",
       "\u001b[0;34m            Returns the image as a `FileData` object.\u001b[0m\n",
       "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlower\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mendswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\".svg\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0mFileData\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morig_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0msaved\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimage_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mGRADIO_CACHE\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0morig_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msaved\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msaved\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0mFileData\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msaved\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morig_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morig_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0mcheck_streamable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstreaming\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msources\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m\"webcam\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;34m\"Image streaming only available if sources is ['webcam']. Streaming not supported with multiple sources.\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0mexample_payload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0mhandle_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;34m\"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0mexample_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0;34m\"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mFile:\u001b[0m           ~/anaconda3/envs/fastai/lib/python3.12/site-packages/gradio/components/image.py\n",
       "\u001b[0;31mType:\u001b[0m           ComponentMeta\n",
       "\u001b[0;31mSubclasses:\u001b[0m     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "??gr.components.Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nbdev\n",
    "nbdev.export.nb_export('app.ipynb', '.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}