add badges for docs and tests

README.md

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 <a href="https://www.github.com/bradyajohnston/MolecularNodes/releases"><img src="https://img.shields.io/github/v/release/bradyajohnston/molecularnodes" alt="Badge displaying license, which is MIT." style="height:20px"/></a> <a href="https://www.github.com/bradyajohnston/MolecularNodes/releases"><img src="https://img.shields.io/github/downloads/BradyAJohnston/MolecularNodes/total.svg" alt="Repo total downloads count." style="height:20px"/></a> <a href="https://www.buymeacoffee.com/bradyajohnston"><img src="https://img.shields.io/github/license/bradyajohnston/molecularnodes" alt="Badge displaying license, which is MIT." style="height:20px"/></a> <a href="https://www.buymeacoffee.com/bradyajohnston"><img src="https://img.shields.io/github/stars/bradyajohnston/molecularnodes?style=social" alt="Badge displaying count of GitHub stars." style="height:20px"/></a>
 
+![Documentation Building](https://github.com/bradyajohnston/molecularnodes/actions/workflows/docs.yml/badge.svg) ![Running Tests](https://github.com/bradyajohnston/molecularnodes/actions/workflows/tests.yml/badge.svg)
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 <a href="https://pypi.org/project/biotite"><img src="https://img.shields.io/badge/powered%20by-Biotite-orange.svg" alt="Button linking to buymeacoffee.com to leave me a tip as a thank you." style="height:20px"/></a> <a href="https://pypi.org/project/MDAnalysis"><img src="https://img.shields.io/badge/powered%20by-MDAnalysis-orange.svg" alt="Button linking to buymeacoffee.com to leave me a tip as a thank you." style="height:20px"/></a> <a href="https://pypi.org/project/mrcfile"><img src="https://img.shields.io/badge/powered%20by-mrcfile-orange.svg" alt="Button linking to buymeacoffee.com to leave me a tip as a thank you." style="height:20px"/></a>
 
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 ## About
 
 MolecularNodes enables quick import and visualisation of structural biology data inside of Blender. Blender provides advanced industry-leading visualisation and animation technology, while MolecularNodes provides the interface that allows Blender to understand the unique data formats used in structural biology.