Update app.py
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app.py
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# st.markdown("Input images should be in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background ([dmfilth](https://cxc.cfa.harvard.edu/ciao/ahelp/dmfilth.html)).")
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# st.markdown("If you use this tool for your research, please cite [Plšek et al. 2023](https://arxiv.org/abs/2304.05457)")
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st.markdown("<div style='border-radius:5px;background-color:#
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Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from noisy Chandra images of early-type galaxies. <br>\
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To use this tool: upload your image, select the scale of interest, make a prediction, and decompose it into individual cavities! <br>\
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Input images should be in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background \
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# st.markdown("Input images should be in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background ([dmfilth](https://cxc.cfa.harvard.edu/ciao/ahelp/dmfilth.html)).")
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# st.markdown("If you use this tool for your research, please cite [Plšek et al. 2023](https://arxiv.org/abs/2304.05457)")
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st.markdown("<div style='border-radius:5px;background-color:#F3F4F6;padding-top:8px;padding-bottom:8px;padding-left:14px;padding-right:14px'>\
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Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from noisy Chandra images of early-type galaxies. <br>\
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To use this tool: upload your image, select the scale of interest, make a prediction, and decompose it into individual cavities! <br>\
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Input images should be in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background \
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