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TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph

License: MIT License

Python 99.70% Shell 0.30%

textgraphs's Introduction

title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	pinned	license
TextGraphs	✴	green	gray	streamlit	1.28.2	app.py	false	mit

TextGraphs

project info

Project home: https://huggingface.co/spaces/DerwenAI/textgraphs

Full documentation: https://derwen.ai/docs/txg/

Sample code is provided in demo.py

requirements

Python 3.10+

deploy library from PyPi

Prepare the virtual environment:

python3 -m venv venv
source venv/bin/activate
python3 -m pip install -U pip wheel setuptools

Install from PyPi:

python3 -m pip install -U textgraphs

run demos locally

python3 demo.py

streamlit run app.py

install library from source locally

python3 -m venv venv
source venv/bin/activate

python3 -m pip install -U pip wheel setuptools
python3 -m pip install -e .

To run the Streamlit or JupyterLab demos, also install:

python3 -m pip install -r requirements-dev.txt

license and copyright

Source code for TextGraphs plus its logo, documentation, and examples have an MIT license which is succinct and simplifies use in commercial applications.

attribution

Please use the following BibTeX entry for citing TextGraphs if you use it in your research or software:

@software{TextGraphs,
  author = {Paco Nathan},
  title = {{TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph}},
  year = 2023,
  publisher = {Derwen},
  doi = {10.5281/zenodo.10431783},
  url = {https://github.com/DerwenAI/textgraphs}
}