{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "71299281",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "import skimage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7d256402",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function needed to set labels\n",
    "def is_cat(filename):\n",
    "    return filename.name[0].isupper() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a350f960",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = load_learner('cat_dog_model.pkl')\n",
    "labels = learn.dls.vocab\n",
    "\n",
    "def predict(img):\n",
    "    img = PILImage.create(img)\n",
    "    pred, pred_idx, probs = learn.predict(img)\n",
    "    return {labels[i]: float(probs[i]) for i in range(len(labels))}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8703a184",
   "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/html": [
       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<gradio.routes.App at 0x7f5b0f748d90>, 'http://127.0.0.1:7860/', None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title = \"Cat/Dog Classifier\"\n",
    "description = \"Basic Cat/Dog classifier trained on the Oxford Pets dataset with fastai. Testing out Gradio on HF Spaces.\"\n",
    "examples = ['siamese.jpg', 'boerboel.jpg', 'german_shepherd.jpg', 'sphynx.jpg']\n",
    "enable_queue=True\n",
    "\n",
    "gr.Interface(\n",
    "    fn=predict, \n",
    "    inputs=gr.Image(shape=(512,512)),\n",
    "    outputs=gr.Label(num_top_classes=3),\n",
    "    title=title,\n",
    "    description=description,\n",
    "    examples=examples,\n",
    ").launch(enable_queue=enable_queue)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3.10.6 ('base')",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
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   "file_extension": ".py",
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   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
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  "vscode": {
   "interpreter": {
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