Skip to main content

Create easily readable versions of academic papers via OpenAI

Project description

I "Hate" Papers

Create easily readable versions of papers via OpenAI

I often need to read a paper to provide background on a related topic. In these cases the technical depth of a paper can be a major obstacle. So I created I Hate Papers to create easily digestible versions of academic research.

Currently works with:

  • An arXiv paper ID
  • A local .tex file
  • A local .md file
  • A local .html file (experimental)

Installation

pip install i-hate-papers

Example use

# First set your OpenAI API key
❱ export OPENAI_API_KEY=...

# Summarise a arXiv paper ID
❱ i_hate_papers 2106.09685

# Summarise a latex file
❱ i_hate_papers path/to/some-paper.tex

# Summarise a html file
❱ i_hate_papers path/to/some-paper.html

Example output

Reference

❱ i_hate_papers --help
usage: i_hate_papers [-h] [--verbosity {0,1,2}] [--no-input] [--no-html] [--no-open] [--no-footer] 
                     [--no-glossary] [--detail-level {0,1,2}] [--model MODEL] INPUT

Summarise an academic paper

You must set the OPENAI_API_KEY environment variable using your OpenAi.com API key

positional arguments:
  INPUT                 arXiv paper ID (example: 1234.56789) or path to a .tex/.html/.md file

options:
  -h, --help            show this help message and exit
  --verbosity {0,1,2}   Set the logging verbosity (0 = quiet, 1 = info logging, 2 = debug logging). Default is 1
  --no-input            Don't prompt for file selection, just use the largest tex file
  --no-html             Skip HTML file generation
  --no-open             Don't open the HTML file when complete (macOS only)
  --no-footer           Don't include a footer containing metadata
  --no-glossary         Don't include a glossary
  --detail-level {0,1,2}
                        How detailed should the summary be? (0 = minimal detail, 1 = normal, 2 = more detail)
  --model MODEL         What model to use to generate the summaries

Release process

For internal use:

export VERSION=0.1.1
poetry version $VERSION
git ci -a -m "Releasing version $VERSION"
git tag "v$VERSION"
git push origin main refs/tags/v$VERSION
poetry publish --build

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

i_hate_papers-0.2.1.tar.gz (11.3 kB view hashes)

Uploaded Source

Built Distribution

i_hate_papers-0.2.1-py3-none-any.whl (13.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page