{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c168f24a",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -Uqq fastai duckduckgo_search pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c84aa916",
   "metadata": {},
   "outputs": [],
   "source": [
    "from duckduckgo_search import ddg_images\n",
    "from fastcore.all import *\n",
    "from time import sleep\n",
    "import pandas as pd\n",
    "from io import StringIO\n",
    "\n",
    "\n",
    "def search_images(term, max_images=50):\n",
    "    print(f\"Searching for '{term}'\")\n",
    "    return L(ddg_images(term, max_results=max_images)).itemgot('image')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fef32513",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a17948bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "searches = 'basketball ball','rugby ball', 'soccer ball', 'golf ball'\n",
    "path = Path('model_pics')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a78f7280",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "for o in searches:\n",
    "    dest = (path/o)\n",
    "    dest.mkdir(exist_ok=True, parents=True)\n",
    "    download_images(dest, urls=search_images(f'{o} photo'))\n",
    "    sleep(10)  # Pause between searches to avoid over-loading server"
   ]
  }
 ],
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