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Condensed-Paper

generate a structured paper summary with graphs

How to use

  1. install everything in requirements.txt
  2. set an environment file ".env" with the content "OPENAI_API_KEY='(your openai key)'"
  3. put the path of the paper you want to summary and run 'main.py' Note: V2_summary.md (or V1.5_summary.md) will be generated as result, which can be converted into PDF easily. I use 'Markdown PDF' extension from VS code to convert.
  4. run 'clear.py' to empty unnecessary generated files, preparing for next run.

'jupyterNotebooks' folder contains a display of intermediate steps and intermediate results.

'testing_papers' folder contains 4 sample research papers and the corresponding condensed paper generated by this project.

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