harmonic sizing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1766c385",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Required Libraries\n",
    "import requests\n",
    "from PIL import Image\n",
    "from io import BytesIO\n",
    "import IPython.display as display\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7234d986",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# List of company names\n",
    "companies = ['Google', 'Apple', 'Microsoft', 'Amazon', 'Facebook',\n",
    "             'Tesla', 'Netflix', 'Adobe', 'Spotify', 'Samsung']\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0e299fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Fetch and scale logos\n",
    "scaled_logos = []\n",
    "\n",
    "for company in companies:\n",
    "    url = f\"https://api.brandfetch.io/v1/logo?domain={company.lower()}.com\"\n",
    "    response = requests.get(url)\n",
    "    \n",
    "    if response.status_code == 200:\n",
    "        img_data = response.json()['image']\n",
    "        img = Image.open(BytesIO(requests.get(img_data).content))\n",
    "        w, h = img.size\n",
    "        factor = (4000 / (w * h)) ** 0.5\n",
    "        img = img.resize((int(w * factor), int(h * factor)), Image.ANTIALIAS)\n",
    "        scaled_logos.append(img)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65cd1fd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Display scaled logos in Jupyter Notebook\n",
    "for img in scaled_logos:\n",
    "    display.display(img)\n",
    "    "
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 5
}