Update app.py

app.py

@@ -153,7 +153,7 @@ if st.sidebar.button('Generate and Predict'):
 # Display structure information if available
 if st.session_state.structure_info:
     info = st.session_state.structure_info
-    st.subheader(f'Predicted protein structure using seed: {info["word1"]}, {info["word2"]}, and {info["word3"]} + length {info["sequence_length"]}')
+    st.subheader(f'Predicted protein structure using seed: {info["word1"]}, {info["word2"]}, and {info["word3"]} + sequence length {info["sequence_length"]}')
     render_mol(info['pdb_string'])
     
     st.subheader('plDDT Confidence Score')
@@ -167,8 +167,8 @@ if st.session_state.structure_info:
     <div style='background-color: #e6f2ff; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
     <ol>
         <li>Take a screenshot of the protein structure above.</li>
-        <li>Click the 'Share on X' button below to open a pre-filled post with your protein seed-words and score.</li>
-        <li>Be sure to attach the screenshot of your protein before your post!</li>
+        <li>Click the 'Share Results' link below to open a pre-filled post with your proteins seed-words and plDDT score.</li>
+        <li>Be sure to attach a screenshot of your protein before you post!</li>
     </ol>
     </div>
     """, unsafe_allow_html=True)
@@ -195,9 +195,9 @@ if st.session_state.structure_info:
         )
         
     st.markdown("""
-    If you find an interesting protein from the sequence folding, you can explore it even further:
+    If you discover an interesting protein structure, you can explore it even further:
    
-    1. Click the 'analyze protein' button to use the [BLAST](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) search database tool and see if your protein matches any known sequences.  The sequence identity will show how close your sequence matches. *Note this can take several minutes
+    1. Click the 'analyze protein' button to search the [BLAST](https://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastp&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome) protein database and see if your protein matches any known sequences.  The sequence identity will show how close your sequence matches. *Note this can take several minutes
     2. Download your protein data and visit the [Protein Data Bank (PDB)](https://www.rcsb.org/) to match your protein structure against known protein structures.
     3. If you think you've discovered a new and useful protein for humans message us!