Skip to content

Instantly share code, notes, and snippets.

@shravankumar147
Last active October 18, 2020 13:56
Show Gist options
  • Save shravankumar147/7b1d9177681c4da3435238a7971b3639 to your computer and use it in GitHub Desktop.
Save shravankumar147/7b1d9177681c4da3435238a7971b3639 to your computer and use it in GitHub Desktop.
Tweet_Quote.ipynb
Display the source blob
Display the rendered blob
Raw
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Tweet_Quote.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyP3eEA6mPif1Q1mN7wbZPdc",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/shravankumar147/7b1d9177681c4da3435238a7971b3639/tweet_quote.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oXTEZofQ33O8"
},
"source": [
""
]
},
{
"cell_type": "code",
"metadata": {
"id": "fAJo0KhM36Yz"
},
"source": [
"import requests\n",
"import zipfile\n",
"import os\n",
"def download_and_extract_ttf(url):\n",
" print('Download Starting...')\n",
"\n",
" # url = 'https://www.mediafont.com/download-8758-verdana-font.zip'\n",
" # url = 'https://www.wfonts.com/download/data/2020/10/17/higher-jump/higher-jump.zip'\n",
" #url = 'https://www.mediafont.com/download-7343-a_charming_font_superexpanded-font.zip'\n",
" r = requests.get(url)\n",
"\n",
" with open('TTF_FONT', 'wb') as f:\n",
" f.write(r.content)\n",
"\n",
" print(\"Download Completed!!!\")\n",
"\n",
" #Open the zip file in read mode\n",
" my_zipfile = zipfile.ZipFile(\"TTF_FONT\", mode='r')\n",
"\n",
" print('Extracting all file...')\n",
"\n",
" my_zipfile.extractall()\n",
"\n",
" print('Extracting Done!')\n",
" my_zipfile.close()\n",
" ttf_fonts = [l for l in os.listdir() if l.lower().endswith('.ttf')]\n",
" return ttf_fonts"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "wVVD8dJB5GNZ",
"outputId": "ecf53d67-a78f-4a33-83da-a505fc4a31a7",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 238
}
},
"source": [
"urls = ['https://www.mediafont.com/download-8758-verdana-font.zip','https://www.wfonts.com/download/data/2020/10/17/higher-jump/higher-jump.zip','https://www.mediafont.com/download-7343-a_charming_font_superexpanded-font.zip']\n",
"ttf_fonts = [download_and_extract_ttf(url) for url in urls]\n",
"print(ttf_fonts)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Download Starting...\n",
"Download Completed!!!\n",
"Extracting all file...\n",
"Extracting Done!\n",
"Download Starting...\n",
"Download Completed!!!\n",
"Extracting all file...\n",
"Extracting Done!\n",
"Download Starting...\n",
"Download Completed!!!\n",
"Extracting all file...\n",
"Extracting Done!\n",
"[['VERDANAB.TTF'], ['Higher Jump.ttf', 'VERDANAB.TTF'], ['Higher Jump.ttf', 'Achafsex.ttf', 'VERDANAB.TTF']]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "MgtaA7jjhlsF",
"outputId": "bd3ca0ad-0456-49c9-f539-b86fa47bea5b",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"ttf_fonts = [l for l in os.listdir() if l.lower().endswith('.ttf')]\n",
"ttf_fonts"
],
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['Higher Jump.ttf', 'Achafsex.ttf', 'VERDANAB.TTF']"
]
},
"metadata": {
"tags": []
},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "m4xyglLJ3TW9"
},
"source": [
"from PIL import Image, ImageDraw, ImageFont\n",
"import os\n",
"from IPython.core.debugger import set_trace\n",
"import matplotlib.pyplot as plt\n",
"def text_wrap(text, font, max_width):\n",
" lines = []\n",
" # If the width of the text is smaller than image width\n",
" # we don't need to split it, just add it to the lines array\n",
" # and return\n",
" if font.getsize(text)[0] <= max_width:\n",
" lines.append(text)\n",
" else:\n",
" # split the line by spaces to get words\n",
" words = text.split(' ') \n",
" i = 0\n",
" # append every word to a line while its width is shorter than image width\n",
" while i < len(words):\n",
" line = '' \n",
" while i < len(words) and font.getsize(line + words[i])[0] <= max_width: \n",
" line = line + words[i] + \" \"\n",
" i += 1\n",
" if not line:\n",
" line = words[i]\n",
" i += 1\n",
" # when the line gets longer than the max width do not append the word,\n",
" # add the line to the lines array\n",
" lines.append(line) \n",
" return lines\n",
"\n",
"def draw_text_on_image(text, file_name='multi_line_text_on_image.png', \n",
" bg_color=(52,51,56), \n",
" bg_size=(800,400), \n",
" font_color=(255,255,255),\n",
" font_size = 50, \n",
" font_file_path = \"Achafsex.ttf\", ):\n",
" \n",
" # create the ImageFont instance\n",
" font = ImageFont.truetype(font_file_path, size=font_size, encoding=\"unic\")\n",
" #img = Image.open('background.png')\n",
" text_size = font.getsize(text)\n",
" lines = text_wrap(text=text, font=font, max_width=bg_size[0])\n",
" line_height = font.getsize('hg')[1]\n",
" line_width = max([len(l) for l in lines])\n",
" x, y = 10, 20\n",
" #set_trace()\n",
" max_width, max_height=bg_size[0]+x, (len(lines)*line_height)+2*x\n",
" #max_height = max_height if max_height>bg_size[1] else bg_size[1]\n",
" bg_size = (max_width, max_height)\n",
" img = Image.new(mode = \"RGB\", size = bg_size, color = bg_color)\n",
" draw = ImageDraw.Draw(img)\n",
" # size() returns a tuple of (width, height)\n",
" image_size = img.size\n",
" \n",
" for line in lines:\n",
" # draw the line on the image\n",
" draw.text((x, y), line, fill=font_color, font=font)\n",
" # update the y position so that we can use it for next line\n",
" y = y + line_height\n",
" # save the image\n",
" img.save(file_name, optimize=True)\n",
" plt.imshow(img)\n",
" return img"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "UHM2wyxQ3knv"
},
"source": [
"text = \"\"\"\"The greatest glory in living lies not in never falling, but in rising every time we fall.\" -Nelson Mandela\"\"\""
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "L3KxpuXx3u86",
"outputId": "b489e835-c4dd-41d2-efa4-8c2c1ce8f189",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 159
}
},
"source": [
"ttf_font = ttf_fonts[0]\n",
"img = draw_text_on_image(text, \n",
"file_name='multi_line_text_on_image.png', \n",
"bg_color='#001a33', \n",
"bg_size=(900,400), \n",
"font_color=(255,255,255), \n",
"font_size=30, \n",
"font_file_path = ttf_font )"
],
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Ran2dA27Lwo-",
"outputId": "d22596d6-fb17-4f51-9819-f38f320e098a",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
}
},
"source": [
"from google.colab import drive # to mount Drive to Colab notebook\n",
"import json\n",
"import tweepy as tw\n",
"\n",
"# Connect Google Drive to Colab\n",
"drive.mount('/content/gdrive')\n",
"path = \"/content/gdrive/My Drive/deep_learning/data/\"\n",
"\n",
"# Load Twitter API secrets from an external JSON file\n",
"secrets = json.loads(open(path + 'post_quote.json').read())\n",
"api_key = secrets['api_key']\n",
"api_secret_key = secrets['api_secret_key']\n",
"access_token = secrets['access_token']\n",
"access_token_secret = secrets['access_token_secret']\n",
"\n",
"auth = tw.OAuthHandler(consumer_key=api_key, consumer_secret=api_secret_key)\n",
"auth.set_access_token(access_token, access_token_secret)\n",
"api = tw.API(auth, wait_on_rate_limit=True)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "lZgJ02nEPFtW"
},
"source": [
"# Upload image\n",
"media = api.media_upload(\"/content/multi_line_text_on_image.png\")\n",
"# Post tweet with image\n",
"tweet = f\"#quote\"\n",
"post_result = api.update_status(status=tweet, media_ids=[media.media_id])"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "fhymHMNxc6my",
"outputId": "e54d17f6-97f4-42b2-f086-b23313d2c55f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 339
}
},
"source": [
"%%html\n",
"<blockquote class=\"twitter-tweet\"><p lang=\"en\" dir=\"ltr\">This is tweeted using python. <a href=\"https://t.co/Ew7kl7N5dJ\">https://t.co/Ew7kl7N5dJ</a></p>&mdash; shravankumar (@shravankumar147) <a href=\"https://twitter.com/shravankumar147/status/1317826187620622336?ref_src=twsrc%5Etfw\">October 18, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>"
],
"execution_count": 1,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/html": [
"<blockquote class=\"twitter-tweet\"><p lang=\"en\" dir=\"ltr\">This is tweeted using python. <a href=\"https://t.co/Ew7kl7N5dJ\">https://t.co/Ew7kl7N5dJ</a></p>&mdash; shravankumar (@shravankumar147) <a href=\"https://twitter.com/shravankumar147/status/1317826187620622336?ref_src=twsrc%5Etfw\">October 18, 2020</a></blockquote> <script async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\"></script>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "1bSoo79o_Si3"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
@shravankumar147
Copy link
Author

shravankumar147 commented Oct 18, 2020

This is tweeted using python. https://t.co/Ew7kl7N5dJ

— shravankumar (@shravankumar147) October 18, 2020
<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment