Update app.py

app.py

@@ -178,8 +178,8 @@ with col:
         # #F3F4F6
         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;'>\
 Cavity Detection Tool <a href='https://github.com/tomasplsek/CADET'>(CADET)</a> 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 in your research, please cite <a href='https://arxiv.org/abs/2304.05457'>Plšek et al. 2023</a>.\
+If you use this tool in your research, please cite <a href='https://arxiv.org/abs/2304.05457'>Plšek et al. 2023</a>.\
+<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. \
 </div>", unsafe_allow_html=True)
 
 # Input images should be FITS files in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background \