{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a9c14507-a23e-4bd8-990e-d45a7460339d",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'MNIST_PATH' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[9], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mfastai\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mvision\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mall\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;241m*\u001b[39m\n\u001b[1;32m----> 2\u001b[0m path \u001b[38;5;241m=\u001b[39m untar_data(MNIST_PATH)\n\u001b[0;32m      3\u001b[0m data \u001b[38;5;241m=\u001b[39m image_data_from_folder(path)\n\u001b[0;32m      4\u001b[0m learn \u001b[38;5;241m=\u001b[39m cnn_learner(data, models\u001b[38;5;241m.\u001b[39mresnet18, metrics\u001b[38;5;241m=\u001b[39maccuracy)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'MNIST_PATH' is not defined"
     ]
    }
   ],
   "source": [
    "from fastai.vision.all import *\n",
    "import gradio as gr\n",
    "def is_cat(x):\n",
    "    return x[0].isupper()\n",
    "\n",
    "learn = load_learner('model.pkl')\n",
    "\n",
    "categories = ('Dog', 'Cat')\n",
    "\n",
    "def classify_image(img):\n",
    "    pred,idx,probs = learn.predict(img)\n",
    "    return dict(zip(categories), map(float,probs))\n",
    "\n",
    "image = gr.inputs.Image(shape=(192,192))\n",
    "label = gr.outputs.Label()\n",
    "\n",
    "intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)\n",
    "intf.launch(inline=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c353f37d-7f82-4179-bf86-7cfa96d3d0b0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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