biochatter 0.7.5

Description:

biochatter 0.7.5

BioChatter











License

Python



Package

Build status



Tests

Docker



Development

Contributions




Description
Generative AI models have shown tremendous usefulness in increasing
accessibility and automation of a wide range of tasks. Yet, their application to
the biomedical domain is still limited, in part due to the lack of a common
framework for deploying, testing, and evaluating the diverse models and
auxiliary technologies that are needed. This repository contains the
biochatter Python package, a generic backend library for the connection of
biomedical applications to conversational AI.
The library is described in this preprint and
used in various demo applications for showcasing its use:


a simple Python-based frontend called BioChatter
Light, which we develop at
https://github.com/biocypher/biochatter-light;


an advanced Next.js-based frontend called BioChatter
Next, which we develop at
https://github.com/biocypher/biochatter-next;


a RESTful API server for use by the Next frontend (and any other REST-based
application) at https://github.com/biocypher/biochatter-server.


BioChatter is part of the BioCypher ecosystem,
connecting natively to BioCypher knowledge graphs. The BioChatter paper is
being written here.
Installation
To use the package, install it from PyPI, for instance using pip (pip install biochatter) or Poetry (poetry add biochatter).
Extras
The package has some optional dependencies that can be installed using the
following extras (e.g. pip install biochatter[xinference]):


xinference: support for querying open-source LLMs through Xorbits Inference


podcast: support for podcast text-to-speech (for the free Google TTS; the
paid OpenAI TTS can be used without this extra)


streamlit: support for streamlit UI functions (used in BioChatter Light)


Usage
Check out the documentation for examples, use cases,
and more information. Many common functionalities covered by BioChatter can be
seen in use in the BioChatter
Light code base.
🤝 Getting involved
We are very happy about contributions from the community, large and small!
If you would like to contribute to BioCypher development, please refer to
our contribution guidelines and the developer
docs. :)
If you want to ask informal questions, talk about dev things, or just chat,
please join our community at https://biocypher.zulipchat.com!

Imposter syndrome disclaimer: We want your help. No, really. There may be a little voice inside your head that is telling you that you're not ready, that you aren't skilled enough to contribute. We assure you that the little voice in your head is wrong. Most importantly, there are many valuable ways to contribute besides writing code.
This disclaimer was adapted from the Pooch project.

More information about LLMs
Check out this repository
for more info on computational biology usage of large language models.
Troubleshooting
If you're on Apple Silicon, you may encounter issues with the grpcio
dependency (grpc library, which is used in pymilvus). If so, try to install
the binary from source after removing the installed package from the virtual
environment from
here:
pip uninstall grpcio
export GRPC_PYTHON_LDFLAGS=" -framework CoreFoundation"
pip install grpcio==1.53.0 --no-binary :all: