the code to generate swatch telegram sticker pack from your own set of colors

notbook.ipynb

{
 "nbformat": 4,
 "nbformat_minor": 2,
 "metadata": {
  "language_info": {
   "name": "python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "version": "3.8.0"
  },
  "orig_nbformat": 2,
  "file_extension": ".py",
  "mimetype": "text/x-python",
  "name": "python",
  "npconvert_exporter": "python",
  "pygments_lexer": "ipython3",
  "version": 3
 },
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://t.me/roguelike_theory\n",
    "# \n",
    "from PIL import Image, ImageFont, ImageDraw, ImageColor\n",
    "from IPython.display import display # to display images\n",
    "import io\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": "('Слепяще-синий', (62, 85, 171), '💍')\n"
    }
   ],
   "source": [
    "colors = \"\"\"\n",
    "Конфетно-розовый\tF5B0BD\t\t🍬\n",
    "Индейский Виноград\t5D3C43\t\t😾\n",
    "Чили-масло\t8E3C36\t\t🌶\n",
    "Слепяще-синий\t3e55ab\t\t💍\n",
    "Лимонное Карри\tCDA323\t\t🍋\n",
    "Привкус Сирени\tD0D0DA\t\t🐚\n",
    "Эликсир Любви\tC01352\t\t🍵\n",
    "Апельсиновый Тигр\tF96714\t\t🐅\n",
    "Выдра\t7F674F\t\t🐰\n",
    "Розовый Тысячелистника\tCE3175\t\t🌷\n",
    "Сангрия\t982551\t\t💅🏻\n",
    "Ненастная Погода\t58646D\t\t🌀\n",
    "Эдем\t264E36\t\t🐸\n",
    "Одуванчик\tFFD02E\t\t🌞\n",
    "Лихой Мак\tBC322C\t\t🗡\n",
    "Мандариново-красный\tE74A33\t\t🍊\n",
    "Дымный Синий\t6D8994\t\t🕵️‍♀️\n",
    "Секрет\tB22250\t\t👩🏻\n",
    "Змея в Траве\t28312D\t\t🐍\n",
    "Турецкий Кофе\t483F39\t\t☕️\n",
    "Синий Лишайник\t638DB7\t\t🤦🏻‍♂️\n",
    "Скандально-розовый\tDE5B8C\t\t🙀\n",
    "Облачный Танцор\tF0EEE9\t\t👻\n",
    "Темный Чеддер\tE08119\t\t🌭\n",
    "Нагой\tF2D3BC\t\t🍎\n",
    "Томатное Пюре\tC53346\t\t😐\n",
    "Жемчужный Румянец\tF2CEC5\t\t☺️\n",
    "Дегустация Вина\t492A34\t\t💃🏾\n",
    "Дикая Голубка\t8B8C89\t\t🦈\n",
    "Печеное Яблоко\tB34646\t\t🙆🏿\n",
    "Нежные Побеги\tB5CC39\t\t💗\"\"\".strip().split('\\n')\n",
    "colors = [c.split('\\t') for c in colors]\n",
    "colors = [ (name, ImageColor.getrgb('#' + color), emoji) for (name, color, _, emoji) in colors ]\n",
    "print(colors[3])\n",
    "#print([c[4] for c in colors])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAIIAAAAUCAMAAAB24hWRAAADAFBMVEUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACzMPSIAAABAHRSTlP8AjVw0lCPsAAAAAD/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////Q4OBggAAAgZJREFUeJyVlkmyxCAIQC0mF97/vj/KaFq7frMSRHmAmjRIGSG7WhSdgF10BjtRFz5s4cPPVcyPf6tCaOtpamIKT6XrWO19XzUnJDROz6YM3Zy2VW1SIzPCbrZI7E5Fw2A7IAAVXRKhf0VAbkKMLwSNZCF4fAApAm1LaLwMEgi6xQUBgBsSGMJTEEbySF6aviFIIrA8osZH0JCFwfbgiBdNcgQSE1wInQamo+XytC9KAxVhaRSFVm89bsVZnL1UpCL0PPNPIwgabAhoGaw45F0JBLohrLDbSYasOtwRGHmgwAFh2UDC7ggzyhEhR74JJkJ/NaLeSXggYFSErtS6gqO4eik1zBFhyw5MW/tqThUhxKvm5onF3Wishd5JRWBVTwjQ0phAK4zeBfwPQp3RiHmVrB6rwPAjwprC3xDE2hHJ52CG7P2GcGwEag+2s4AmcEaYj2tsGANDiFN5PI7kG1rHvI/+aJ1uxIYwnybmBfZ6L2FsnTkidK9XVcyz3uhvCFQM+1s7WxYduSGww3oGHk9GgP+A8P5uUUHAC4JhP+2F7tyBADsCsQvcEPSB1RNjD10gWKhPhBd3HwXBPuOfnym6IbTcWLOWgsAXhDyqWev0pP8gxOuqUb1fmlxB0IwOCPWHQXJjKXxfEFbJA4G3K6tzUGxzyMU1y8d93U2B8eHpIXCT+MX7A91XMUtJ1TCWAAAAAElFTkSuQmCC\n",
      "text/plain": "<PIL.Image.Image image mode=P size=130x20 at 0xC01BE98>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# logo = Image.open('Pantone-logo.png')\n",
    "# logo = logo.resize((130, int(60 * 130 / 390)), Image.BICUBIC).quantize(12)\n",
    "# display(logo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": "<PIL.Image.Image image mode=RGBA size=512x170 at 0xDB0E6E8>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bottom = Image.new('RGBA', (512, 170), (255, 255, 255))\n",
    "# bottom.paste(logo, (10, 10))\n",
    "# helbold = ImageFont.truetype(\"Helvetica Bold.ttf\",32)\n",
    "# img=Image.new(\"RGBA\", (500,250),(255,255,255))\n",
    "draw = ImageDraw.Draw(bottom)\n",
    "# draw.text((15, 12),\"PANTONE®\",(0,0,0),font=font)\n",
    "display(bottom)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": "<PIL.Image.Image image mode=RGB size=512x512 at 0xDF2FE68>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import re\n",
    "def image_with_text(text, color):\n",
    "    img = Image.new('RGB', (512, 512), color)\n",
    "    img.paste(bottom, (0, 512-170))\n",
    "    draw = ImageDraw.Draw(img)\n",
    "    hel = ImageFont.truetype(\"HelveticaNeueCyr-Medium.otf\",51)\n",
    "    if draw.textsize(text, hel)[0] > 512 - 15 * 2:\n",
    "        text = '\\n'.join(text.split(' '))\n",
    "        text = '-\\n'.join(text.split('-'))\n",
    "    draw.multiline_text((15, 512 - 170 + 18),text,(0,0,0),font=hel,spacing=17)\n",
    "    # img = img.resize((int(222 * 512 / 337), 512), Image.BICUBIC)\n",
    "    return img\n",
    "def file_object_for_image(i, text, color):\n",
    "    img = image_with_text(text, color)\n",
    "    b = io.BytesIO()\n",
    "    img.save(b, \"PNG\")\n",
    "    b.seek(0)\n",
    "    return b\n",
    "    # img.save(\"swatch/%i.png\" % i)\n",
    "    # return open(\"swatch/%i.png\" % i, \"rb\")\n",
    "#img.save(\"bright_red.png\")\n",
    "display(image_with_text(colors[9][0], colors[9][1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "images = [(file_object_for_image(i, c[0], c[1]), c[2]) for i, c in enumerate(colors)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"a.png\", \"wb\") as f:\n",
    "    f.write(images[0][0].read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TELEGRAM_TOKEN = ''\n",
    "# MY_ID = \n",
    "\n",
    "import telegram.bot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "bot = telegram.bot.Bot(TELEGRAM_TOKEN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "True"
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bot.create_new_sticker_set(MY_ID, \"colormoods_by_gif_hollywood_bot\", \"Color Moods\", images[0][0], images[0][1].encode(\"utf-8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "for im, em in images[1:]:\n",
    "    im.seek(0)\n",
    "    bot.add_sticker_to_set(MY_ID, \"colormoods_by_gif_hollywood_bot\", im, em.encode(\"utf-8\"))"
   ]
  }
 ]
}