Update app.py

app.py

@@ -172,11 +172,11 @@ with col:
         st.markdown("<h1 align='center'>Cavity Detection Tool</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 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("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 noisy Chandra images of early-type galaxies. \
+Cavity Detection Tool (CADET) is a machine learning pipeline trained to detect <b>X-ray cavities</b> from noisy <b><em>Chandra</em></b> images of early-type galaxies. \
 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 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>\