Metadata-Version: 2.1
Name: PubmedZenbu
Version: 0.1.0
Summary: - This tool extracts metadata from PubMed articles using ChatGPT. Inputs as a `search query for PubMed` and `prompt for ChatGPT`, output as a csv file including the extracted results. Positional arguments: arguments.csv (csv file including openai_api_key, ncbi_api_key, search_query, and prompt),oldest_year (oldest year to search for PubMed)
Home-page: https://github.com/dogrun-inc/pubmed-zenbu/tree/2023_dev_suzuki
Download-URL: https://github.com/dogrun-inc/pubmed-zenbu/tree/2023_dev_suzuki
Author: Sora Yonezawa, Mitsuo Shintani, Naoya Oec, Takayuki Suzuki
Author-email: oec@dogrun.jp
Maintainer: Sora Yonezawa, Mitsuo Shintani, Naoya Oec, Takayuki Suzuki
Maintainer-email: oec@dogrun.jp
License: MIT
Keywords: pubmed scraping article dogrun
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests >=2.31
Requires-Dist: openai <=0.28.1
Requires-Dist: PyYAML >=5.1
Requires-Dist: Pandas >=2.0.0

# pubmed-zenbu
- This tool extracts metadata from PubMed articles using ChatGPT. Inputs as a `search query for PubMed` and `prompt for ChatGPT`, output as a csv file including the extracted results.
- positional arguments:
  - arguments.csv  csv file including openai_api_key, ncbi_api_key, search_query, prompt, and oldest_year_for_pubmedsearch
