{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f598db56-5a32-42b5-98de-790a3acdbd62",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "import gradio as gr\n",
    "from fastcore.net import urljson, HTTPError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "62cf74c6-a8cb-4c62-99c5-ad1c1776aed1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|export\n",
    "def size(repo:str):\n",
    "    \"Returns the size in GB of a HuggingFace Dataset.\"\n",
    "    url = f'https://huggingface.co/api/datasets/{repo}'\n",
    "    try: resp = urljson(f'{url}/treesize/main')\n",
    "    except HTTPError: return f'Did not find repo: {url}'\n",
    "    gb = resp['size'] / 1e9\n",
    "    return f'{gb:.2f} GB'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "568dafe6-9edf-4b6b-934c-62e7d26629bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'5.49 GB'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "size(\"tglcourse/CelebA-faces-cropped-128\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8bcb5f89-4a46-4615-aedf-34dff061d0df",
   "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=\"500\" height=\"450\" 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": []
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#|export\n",
    "iface = gr.Interface(fn=size, inputs=gr.Text(value=\"tglcourse/CelebA-faces-cropped-128\"), outputs=\"text\")\n",
    "iface.launch(height=450, width=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "04e0bd54-851e-4821-bca7-3da3e43cc525",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closing server running on port: 7860\n"
     ]
    }
   ],
   "source": [
    "# this is only necessary in a notebook\n",
    "iface.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2701c26b-7c82-4f57-bf91-ab842b494ddb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nbdev.export import nb_export\n",
    "nb_export('app.ipynb', lib_path='.', name='app')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5bcd9468-574c-4839-962e-22571c3d1a53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing requirements.txt\n"
     ]
    }
   ],
   "source": [
    "%%writefile requirements.txt\n",
    "fastcore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8677e10-4b72-43de-ba48-debd881d238d",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}