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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f7574cf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastcore.all import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "70c6d38b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e6cf2649",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = load_learner('mode.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "31dd1521",
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = learn.dls.vocab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6cb8e202",
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(img) :\n",
    "   pred,id,probs = learn.predict(PILImage.create(img))\n",
    "   return {labels[i] : float(probs[i]) for i in range(len(labels)) }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ad1e5548",
   "metadata": {},
   "outputs": [],
   "source": [
    "from gradio.components import Image , Label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "675ef28b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fa536164",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7866\n",
      "Running on public URL: https://fc407041673570426e.gradio.live\n",
      "\n",
      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
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    },
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     "execution_count": 12,
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     "name": "stderr",
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     "text": [
      "C:\\Users\\akshi\\anaconda3\\Lib\\site-packages\\fastai\\torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'\n",
      "  return getattr(torch, 'has_mps', False)\n"
     ]
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      "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",
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       "    }\n",
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       "<IPython.core.display.HTML object>"
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   ],
   "source": [
    "gr.Interface(fn=predict , inputs=Image(), outputs=Label(num_top_classes=2)).launch(share=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8797535",
   "metadata": {},
   "outputs": [],
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