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https://github.com/biocypher/biochatter
Backend library for conversational AI in biomedicine
https://github.com/biocypher/biochatter
biocypher chatbot knowledge-graph llm retrieval-augmented-generation vector-database
Last synced: 6 days ago
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Backend library for conversational AI in biomedicine
- Host: GitHub
- URL: https://github.com/biocypher/biochatter
- Owner: biocypher
- License: mit
- Created: 2023-06-06T14:11:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-09-19T09:24:43.000Z (4 months ago)
- Last Synced: 2024-09-19T09:41:19.119Z (4 months ago)
- Topics: biocypher, chatbot, knowledge-graph, llm, retrieval-augmented-generation, vector-database
- Language: Jupyter Notebook
- Homepage: http://biochatter.org/
- Size: 523 MB
- Stars: 57
- Watchers: 3
- Forks: 22
- Open Issues: 75
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# BioChatter
| | | | |
| --- | --- | --- | --- |
| __License__ | [](https://opensource.org/licenses/MIT) | __Python__ | [](https://www.python.org) |
| __Package__ | [](https://pypi.org/project/biochatter/) [](https://pepy.tech/project/biochatter) [](https://zenodo.org/doi/10.5281/zenodo.10777945) | __Build status__ | [](https://github.com/biocypher/biochatter/actions/workflows/ci.yaml) [](https://github.com/biocypher/biochatter/actions/workflows/docs.yaml) |
| __Tests__ | [](https://github.com/biocypher/biochatter/actions/workflows/ci.yaml) | __Docker__ | [](https://hub.docker.com/repository/docker/biocypher/chatgse/general) [](https://hub.docker.com/repository/docker/biocypher/chatgse/general) |
| __Development__ | [](https://www.repostatus.org/#active) [](https://black.readthedocs.io/en/stable/) | __Contributions__ | [](http://makeapullrequest.com) [](CONTRIBUTING.md) |
## 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](https://arxiv.org/abs/2305.06488) and
used in various demo applications for showcasing its use:
- a simple Python-based frontend called [BioChatter
Light](https://light.biochatter.org), which we develop at
https://github.com/biocypher/biochatter-light;
- an advanced Next.js-based frontend called [BioChatter
Next](https://next.biochatter.org), 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](https://github.com/biocypher) ecosystem,
connecting natively to BioCypher knowledge graphs. The BioChatter paper is
being written [here](https://github.com/biocypher/biochatter-paper).
## 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](https://biochatter.org/) for examples, use cases,
and more information. Many common functionalities covered by BioChatter can be
seen in use in the [BioChatter
Light](https://github.com/biocypher/biochatter-light) code base. [](https://squidfunk.github.io/mkdocs-material/)
## 🤝 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](CONTRIBUTING.md) and the [developer
docs](DEVELOPER.md). :)
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](https://github.com/fatiando/pooch) project.
## More information about LLMs
Check out [this repository](https://github.com/csbl-br/awesome-compbio-chatgpt)
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](https://stackoverflow.com/questions/72620996/apple-m1-symbol-not-found-cfrelease-while-running-python-app):
```bash
pip uninstall grpcio
export GRPC_PYTHON_LDFLAGS=" -framework CoreFoundation"
pip install grpcio==1.53.0 --no-binary :all:
```