Update app.py

app.py

@@ -109,7 +109,7 @@ def update(sequence, word1, word2, word3, sequence_length):
         st.write("Please try again later or contact support if the issue persists.")
 
 def share_on_twitter(word1, word2, word3, length, plddt):
-    tweet_text = f"I just generated a new protein using #GenPro2 from the seed-words '#{word1}', '#{word2}', and '#{word3}' + sequence length of {length}! It's plDDT Score is: {plddt}%."
+    tweet_text = f"I just generated a new protein using #GenPro2 by @WandsAI from the seed-words '#{word1}', '#{word2}', and '#{word3}' + sequence length of {length}. My Proteins plDDT Score is: {plddt}%!"
     tweet_url = f"https://twitter.com/intent/tweet?text={urllib.parse.quote(tweet_text)}"
     return tweet_url
 
@@ -165,12 +165,12 @@ if st.session_state.structure_info:
     """, unsafe_allow_html=True)
     
     tweet_url = share_on_twitter(info["word1"], info["word2"], info["word3"], info["sequence_length"], plddt_score)
-    st.markdown(f"[Share Results]({tweet_url})")
+    st.markdown(f"[Share Results]({https://huggingface.co/spaces/WANDSAI/GenPro2})")
 
     st.markdown("""
     ## What to do next:
 
-    If you find an interesting protein from the sequence folding, you can explore it even further:
+    """)
 
     col1, col2 = st.columns(2)
     with col1:
@@ -184,7 +184,10 @@ if st.session_state.structure_info:
             file_name='predicted.pdb',
             mime='text/plain',
         )
-    
+        
+    st.markdown("""
+    If you find an interesting protein from the sequence folding, 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
     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!
@@ -193,5 +196,3 @@ if st.session_state.structure_info:
     **Remember, this folding is based on randomly generated sequences. Interpret the results with caution.
     Enjoy exploring the world of protein sequences!
     """)
-
-