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CADET

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Plsek commited on Jul 17, 2023

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31ba30d

1 Parent(s): f45cccf

Update app.py

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app.py +3 -3

app.py CHANGED Viewed

@@ -169,15 +169,15 @@ os.system("rm -R -- */")
 with col:
     with st.container():
         # Create heading and description
-        st.markdown("<h1 align='center'>Cavity Detection Tool (<a href='https://github.com/tomasplsek/CADET'>CADET</a>)</h1>", unsafe_allow_html=True)
         # st.markdown("Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from noisy Chandra images of early-type galaxies.")
         # st.markdown("To use this tool: upload your image, select the scale of interest, make a prediction, and decompose it into individual cavities!")
         # st.markdown("Input images should be FITS files 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)).")
         # st.markdown("If you use this tool for your research, please cite [Plšek et al. 2023](https://arxiv.org/abs/2304.05457)")
-        st.markdown("<div style='border-radius:5px;background-color:#F3F4F6;padding-top:8px;padding-bottom:8px;padding-left:14px;padding-right:14px;line-height:140%;font-size:120%'>\
 Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from <em>Chandra</em> images of early-type galaxies, groups, and clusters.\
-<br>To use this tool:<br><b>1)</b> upload your FITS file<br><b>2)</b> select the scale of interest<br><b>3)</b> make a prediction<br><b>4)</b> decompose into individual cavities\
 <br style='margin-bottom: 6px'>If you use this tool for your research, please cite <a href='https://arxiv.org/abs/2304.05457'>Plšek et al. 2023</a>.\
 </div><br>", unsafe_allow_html=True)

 with col:
     with st.container():
         # Create heading and description
+        st.markdown("<h1 align='center'>Cavity Detection Tool <a href='https://github.com/tomasplsek/CADET'>(CADET)</a></h1>", unsafe_allow_html=True)
         # st.markdown("Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from noisy Chandra images of early-type galaxies.")
         # st.markdown("To use this tool: upload your image, select the scale of interest, make a prediction, and decompose it into individual cavities!")
         # st.markdown("Input images should be FITS files 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)).")
         # st.markdown("If you use this tool for your research, please cite [Plšek et al. 2023](https://arxiv.org/abs/2304.05457)")
+        st.markdown("<div style='border-radius:5px;padding-top:8px;padding-bottom:8px;padding-left:14px;padding-right:14px;line-height:140%;font-size:120%;background-color:#FFFFFF;'>\ #F3F4F6
 Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect X-ray cavities from <em>Chandra</em> images of early-type galaxies, groups, and clusters.\
+<br style='margin-bottom: 6px'>To use this tool:<br><b>1)</b> upload your FITS file<br><b>2)</b> select the scale of interest<br><b>3)</b> make a prediction<br><b>4)</b> decompose into individual cavities\
 <br style='margin-bottom: 6px'>If you use this tool for your research, please cite <a href='https://arxiv.org/abs/2304.05457'>Plšek et al. 2023</a>.\
 </div><br>", unsafe_allow_html=True)