Metadata-Version: 2.1
Name: dbnl_bear
Version: 0.3
Summary: A Python package to use an AI assistant for historical analysis
Home-page: https://github.com/trister95/dbnl_bear
Author: Arjan van Dalfsen
Author-email: j.a.vandalfsen@uu.nl
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: lxml
Requires-Dist: tqdm
Requires-Dist: python-dotenv
Requires-Dist: langchain_core
Requires-Dist: langchain_openai
Requires-Dist: tqdm
Requires-Dist: typing
Requires-Dist: langchain_text_splitters
Requires-Dist: docx
Requires-Dist: fuzzywuzzy
Requires-Dist: pydantic
Requires-Dist: python-docx
Requires-Dist: python-Levenshtein

![My Package Logo](assets/logo.png)

This is dbnl_bear, a python package to make it easier to use AI for reading assistance in historical analaysis. 

The "bear" part of the package name is inspired by a passage from Alex Komoroske's Bits and Bobs:

"LLMs are like a trained circus bear that can make you porridge in your kitchen. It's a miracle that it's able to do it at all, but watch out because no matter how well they can act like a human on some tasks they're still a wild animal. They might ransack your kitchen, and they could kill you, accidentally or intentionally. Just because it can talk like a human doesn't mean it deserves the responsibility of a human!" (editorial changes by AvD)

The package is available on PyPi. However, currently, it's not perfect, and should be used with some caution. 

The goal of the package is to make it easier for historians to use AI in their research. It will assist in parsing texts, sending them to the OpenAI API, and viewing the results. 

See the notebook for info on how to use this. 
