sherpa-streamlit

sherpa_streamlit

Kairntech Sherpa building blocks for Streamlit apps

This package contains utilities for visualizing and building interactive Kairntech Sherpa-powered apps with Streamlit. It includes various building blocks you can use in your own Streamlit app, like visualizers for named entities, text classification, and more.

Installation

You can simply pip install sherpa-streamlit.

Quickstart

The package includes building blocks that call into Streamlit and set up all the required elements for you. You can either use the individual components directly and combine them with other elements in your app, or call the visualize function to embed the whole visualizer.

Put the following example code in a file.

# streamlit_app.py
import sherpa_streamlit

default_text = "Sundar Pichai is the CEO of Google."
sherpa_streamlit.visualize(default_text)

You can then run your app with streamlit run streamlit_app.py. The app should pop up in your web browser.

Developing

Pre-requesites

You will need to install flit (for building the package) and tox (for orchestrating testing and documentation building):

python3 -m pip install flit tox

Clone the repository:

git clone https://github.com/oterrier/sherpa_streamlit

Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

tox

Building the documentation

You can build the HTML documentation with:

tox -e docs

The built documentation is available at `docs/_build/index.html.