Update app.py

app.py

@@ -177,7 +177,7 @@ with col:
 
         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 <b>X-ray cavities</b> from <b><em>Chandra</em></b> images of early-type galaxies, groups, and clusters. \
-To use this tool: <b>1)</b> upload your image, <b>2)</b> select the scale of interest, <b>3)</b> make a prediction, and <b>4)</b> decompose it into individual cavities! \
+To use this tool: <b>1)</b> upload your image, <b>2)</b> select the scale of interest, <b>3)</b> make a prediction, and <b>4)</b> decompose it into individual cavities. \
 Input images should be FITS files in units of counts, centred at the galaxy center, and point sources should be filled with surrounding background \
 (<a href='https://cxc.cfa.harvard.edu/ciao/ahelp/dmfilth.html'>dmfilth</a>). <br><br>\
 If you use this tool for your research, please cite <a href='https://arxiv.org/abs/2304.05457'>Plšek et al. 2023</a>.\