Udacity_Nanodegree_Intermediate_Python/Meme_Generator

Meme Generator

A Python application that combines an image with a quote to create a meme. It supports random or custom memes through a command-line interface and a small Flask web app.

Features

• Import quotes from CSV, DOCX, PDF, and TXT files.
• Resize images and overlay a quote and author.
• Generate memes from bundled assets or user input.
• Use either the command line or a browser interface.

Requirements

• Python 3
• Python packages in requirements.txt
• Poppler's pdftotext command on PATH for PDF quote ingestion

Setup

Run these commands from this project directory:

sudo apt-get install -y xpdf
sudo apt install python3-venv
python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -r requirements.txt

Command Line

Generate a meme from a random bundled image and quote:

Usage: python3 meme.py --path [image_path] --body [quote_body] --author [quote_author]

mkdir -p tmp
python3 meme.py

python3 meme.py \
  --path ./_data/photos/dog/xander_1.jpg \
  --body "Stay pawsitive." \
  --author "Unknown"

Web App

mkdir -p static
python3 app.py

Open http://127.0.0.1:5000 for a random meme or use the /create page to submit an image URL and quote. Generated web images are saved in static/.

Project Structure

• meme.py — Command-line entry point for generating random or custom memes.
• app.py — Flask web application for creating memes in a browser.
• MemeEngine/ — Resizes images, positions quote text, and saves generated memes.
• QuoteEngine/ — Represents quotes and imports them from supported file formats.
  • QuoteModel — Stores a quote's body and author.
  • Ingestor — Selects the appropriate file-format parser.
  • CSVIngestor — Imports quotes from CSV files.
  • DocxIngestor — Imports quotes from DOCX files.
  • PDFIngestor — Imports quotes from PDF files.
  • TextIngestor — Imports quotes from TXT files.
• templates/ — HTML templates used by the Flask application.
• _data/ — Sample images, quotes, and font assets.

Format checking

$ pip install docformatter
$ pip install autopep8
$ pip install black
$ pip install flake8
$ docformatter -i -r --wrap-summaries 79 --wrap-descriptions 79 .
$ autopep8 --in-place --recursive --aggressive .
$ black .
$ flake8 .