Update app.py

app.py

@@ -15,8 +15,8 @@ import urllib.parse
 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
 
 st.set_page_config(layout='wide')
-st.sidebar.title('🔮 GenPro2')
-st.sidebar.write('GenPro2 is an end-to-end protein sequence generator, structure predictor, and analysis that uses [ESMFold](https://esmatlas.com/explore?at=1%2C1%2C21.999999344348925) and the ESM-2 language model | beta v2.12')
+st.sidebar.title('🔮 GenPro2.5')
+st.sidebar.write('GenPro2 is an end-to-end protein sequence generator, structure predictor, and analysis that uses [ESMFold](https://esmatlas.com/explore?at=1%2C1%2C21.999999344348925) and the ESM-2 language model | [Potion.Bio](https://www.potion.bio)beta v2.51')
 
 def generate_sequence_from_words(words, length):
     seed = ' '.join(words).encode('utf-8')
@@ -181,7 +181,7 @@ 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"]} + sequence length {info["sequence_length"]}')
+    st.subheader(f'I just discovered a new protein using seed words: {info["word1"]}, {info["word2"]}, and {info["word3"]} generated by @PotionBio')
     render_mol(info['pdb_string'])
     
     st.subheader('plDDT Confidence Score')
@@ -192,16 +192,16 @@ if st.session_state.structure_info:
     st.subheader("Share your unique protein on X(Twitter)")
     
     st.markdown("""
-    <div style='background-color: #e6f2ff; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
+    <div style='background-color: #000000; padding: 10px; border-radius: 5px; font-size: 0.8em;'>
     <ol>
         <li>Take a screenshot of the protein structure above.</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>
+        <li>Click the 'Share Results' link below to open a pre-filled post with your proteins seed-words.</li>
+        <li>Upload your protein and post!</li>
     </ol>
     </div>
     """, unsafe_allow_html=True)
     
-    tweet_url = share_on_twitter(info["word1"], info["word2"], info["word3"], info["sequence_length"], plddt_score)
+    tweet_url = share_on_twitter(info["word1"], info["word2"], info["word3"])
     st.markdown(f"[Share Results]({tweet_url})")
 
     st.markdown("""