Autocards

• Automatically create questions and answers from various input formats (PDF files, webpages, wikipedia, epub files, etc) for your favorite flashcards software (like anki, SuperMemo or others).
• Can handle virtually any language thanks to inbuilt translation (but usually at the cost of lower quality cards).
• To see a real world example, the complete output of this article can be found in this folder. It's the direct output with no post processing whatsoever.
• Code is PEP compliant and with docstrings. Contributions and PR are extremely appreciated.
• Learn more by reading the official write-up.

How to:

• This has been tested on python 3.9 but will probably work on earlier versions as well.
• git clone https://github.com/paulbricman/autocards
• cd autocards
• pip install -r ./requirements.txt
• install punkt by running python -m nltk.downloader punkt
• open a python console: ipython3
• read the usage guide below

Usage:

All arguments are mentioned with their default value, you don't have to supply them every time.

• initialization:

  • from autocards import Autocards

  • a = Autocards(in_lang="en", out_lang="en")

    translation modules sometimes need to be downloaded and can be rather large

• consuming input text is done using one of the following ways:

  • a.consume_var(my_text, per_paragraph=True)

  • a.consume_user_input(title="")

  • a.consume_textfile(path_to_file, per_paragraph=True)

  • a.consume_pdf(path_to_file, per_paragraph=True)

  • a.consume_web(link_or_path, mode="url", element="p")

    mode can be "url" or "local"

    element is the html element, like p for paragraph

• different ways to get the results back:

  • out = a.string_output(prefix='', jeopardy=False)

    prefix is a text that will be appended before the question & answer

    jeopardy is for swapping question and answer

  • a.print(prefix='', jeopardy=False)

  • a.pprint(prefix='', jeopardy=False)

    pprint stands for pretty printing

  • a.to_anki(deckname="autocards_export", tags=["some_tag"])

  • df = a.pandas_df(prefix='')

  • a.to_csv("output.csv", prefix="")

  • a.to_json("output.json", prefix="")

  Also note that a user provided his own scripts that you can get inspiration from, they are a bit outdated but can be found in the folder examples_script