Python利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复.zip

# SciPDF Parser A Python parser for scientific PDF based on [GROBID](https://github.com/kermitt2/grobid). ## Installation Use `pip` to install from this Github repository ```bash pip install git+https://github.com/titipata/scipdf_parser ``` **Note** * We also need an `en_core_web_sm` model for spacy, where you can run `python -m spacy download en_core_web_sm` to download it * You can change GROBID version in `serve_grobid.sh` to test the parser on a new GROBID version ## Usage Run the GROBID using the given bash script before parsing PDF ```bash bash serve_grobid.sh ``` This script will download GROBID and run the service at default port 8070 (see more [here](https://grobid.readthedocs.io/en/latest/Grobid-service/)). To parse a PDF provided in `example_data` folder or direct URL, use the following function: ```python import scipdf article_dict = scipdf.parse_pdf_to_dict('example_data/futoma2017improved.pdf') # return dictionary # option to parse directly from URL to PDF, if as_list is set to True, output 'text' of parsed section will be in a list of paragraphs instead article_dict = scipdf.parse_pdf_to_dict('https://www.biorxiv.org/content/biorxiv/early/2018/11/20/463760.full.pdf', as_list=False) # output example >> { 'title': 'Proceedings of Machine Learning for Healthcare', 'abstract': '...', 'sections': [ {'heading': '...', 'text': '...'}, {'heading': '...', 'text': '...'}, ... ], 'references': [ {'title': '...', 'year': '...', 'journal': '...', 'author': '...'}, ... ], 'figures': [ {'figure_label': '...', 'figure_type': '...', 'figure_id': '...', 'figure_caption': '...', 'figure_data': '...'}, ... ], 'doi': '...' } xml = scipdf.parse_pdf('example_data/futoma2017improved.pdf', soup=True) # option to parse full XML from GROBID ``` To parse figures from PDF using [pdffigures2](https://github.com/allenai/pdffigures2), you can run ```python scipdf.parse_figures('example_data', output_folder='figures') # folder should contain only PDF files ``` You can see example output figures in `figures` folder.