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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "68be7c38-5de9-41bb-b2e6-db358bab0516",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e0961d9e-d655-4367-ac5b-cc90ce41118f",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = load_learner('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d7fd2b34-1111-4694-88be-9bd3d4e9efa2",
   "metadata": {},
   "outputs": [],
   "source": [
    "categories = learn.dls.vocab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3afc0a26-0769-4b94-8e16-266eb43ffeed",
   "metadata": {},
   "outputs": [],
   "source": [
    "def classify_image(img):\n",
    "    pred, idx, probs = learn.predict(img)\n",
    "    return dict(zip(categories, map(float, probs)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "95875ae8-f066-4c24-9488-5ccd1602fdaa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
      "  warnings.warn(\n",
      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
      "  warnings.warn(value)\n",
      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
      "  warnings.warn(\n",
      "/Users/toqi/opt/miniconda3/envs/fastai/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",
      "  warnings.warn(value)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running on local URL:  http://127.0.0.1:7861\n",
      "\n",
      "To create a public link, set `share=True` in `launch()`.\n"
     ]
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image = gr.inputs.Image(shape=(224, 224))\n",
    "label = gr.outputs.Label()\n",
    "# examples = ['black-bear.jpg', 'grizzly-bear.jpg', 'teddy-bear.jpg']\n",
    "\n",
    "title= \"Car Classifer\"\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, title=title)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "43c24456-6927-4098-8537-6399258923e8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9 (fastai)",
   "language": "python",
   "name": "fastai"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.15"
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 },
 "nbformat": 4,
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}