Update Domain2GO.py

Domain2GO.py

@@ -15,7 +15,6 @@ def convert_df(df):
 
 
 with st.sidebar:
-
     st.title("Domain2GO: Mutual Annotation-Based Prediction of Protein Domain Functions")
     st.write("[![biorxiv](https://img.shields.io/badge/bioRxiv-2022.11.03.514980-b31b1b.svg)](https://www.biorxiv.org/content/10.1101/2022.11.03.514980v1) [![github-repository](https://img.shields.io/badge/GitHub-black?logo=github)](https://github.com/HUBioDataLab/Domain2GO)")
 
@@ -62,16 +61,15 @@ with st.sidebar:
                 st.warning('Please enter your email and protein sequence first. If you have already entered your email and protein sequence, please check that your email is valid.')
 
 with st.sidebar:
-    st.markdown("""
-    <div style="position: relative; width: 300px; height: 380px;">
-    <div style="position: absolute; bottom: 0px; padding:0px">
-    <hr style="height:1px;border:none;color:#333;background-color:#333;" />
-    <p style="color:#b22d2a;font-size:15px;">Disclaimer</p>
-    <p style="color:#000000;font-size:14px;">This program is designed to generate predictions for a single protein due to the extended runtime of InterProScan. If you need predictions for multiple UniProtKB/Swiss-Prot proteins, we recommend utilizing our comprehensive protein function prediction dataset available in our <a href="https://github.com/HUBioDataLab/Domain2GO">Github repository</a>.</p>
-    </div>
-    </div>
-    """, unsafe_allow_html=True)
-
+    c = st.container()
+    c.markdown("---")
+    c.markdown(
+        """
+        <div style="padding:5px">
+        <p style="color:#000000;font-size:12px;">Disclaimer: This program is designed to generate predictions for a single protein due to the extended runtime of InterProScan. If you need predictions for multiple UniProtKB/Swiss-Prot proteins, we recommend utilizing our comprehensive protein function prediction dataset available in our <a href="https://github.com/HUBioDataLab/Domain2GO">Github repository</a>.</p>
+        </div>
+        """, unsafe_allow_html=True)
+    
 if not submitted:
     # on main page, write warning message if user has not submitted email and sequence
     st.markdown("""
@@ -137,13 +135,4 @@ else:
                 mime="text/csv",
             )
 
-# # <div style="background-color:#f0f2f6;padding:10px">
-# st.markdown("""
-# <div style="position: relative;background-color: #f0f2f6;padding:10px;">
-#     <div style="position: absolute; bottom: 5px;">
-#     <p style="color:#b22d2a;font-size:15px;">Disclaimer</p>
-#     <p style="color:#000000;font-size:14px;">This program is designed to generate predictions for a single protein due to the extended runtime of InterProScan. If you need predictions for multiple UniProtKB/Swiss-Prot proteins, we recommend utilizing our comprehensive protein function prediction dataset available in our <a href="https://github.com/HUBioDataLab/Domain2GO">Github repository</a>.</p>
-#     </div>
-# </div>
-# """, unsafe_allow_html=True)