Update app.py

app.py

@@ -59,7 +59,7 @@ def perform_blast_analysis(sequence):
         progress_bar = st.progress(0)
         for i in range(100):
             progress_bar.progress(i + 1)
-            time.sleep(0.9)  # Analysis time
+            time.sleep(1.9)  # Analysis time
         
         try:
             record = SeqRecord(Seq(sequence), id='random_protein')
@@ -127,28 +127,6 @@ def update(sequence, word1, word2, word3, sequence_length):
         st.error(f"An error occurred while calling the API: {str(e)}")
         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 by @WandsAI using the seed words #{word1}, #{word2}, #{word3} + sequence length of {length}. My Protein has a {plddt}% plDDT score!"
-    tweet_url = f"https://twitter.com/intent/tweet?text={urllib.parse.quote(tweet_text)}"
-    return tweet_url
-
-# Initialize session state variables
-if 'sequence' not in st.session_state:
-    st.session_state.sequence = None
-if 'show_analyze_button' not in st.session_state:
-    st.session_state.show_analyze_button = False
-if 'structure_info' not in st.session_state:
-    st.session_state.structure_info = None
-
-st.title("📖 User Guide:")
-
-st.sidebar.subheader("Generate Sequence from Words")
-word1 = st.sidebar.text_input("Word 1")
-word2 = st.sidebar.text_input("Word 2")
-word3 = st.sidebar.text_input("Word 3")
-sequence_length = st.sidebar.number_input("Sequence Length", min_value=50, max_value=400, value=100, step=10)
-
-
 # Information for users
 st.info("""
 Protein Length Guide:
@@ -234,3 +212,24 @@ 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!
     """)
+
+def share_on_twitter(word1, word2, word3, length, plddt):
+    tweet_text = f"I just generated a unique protein using #GenPro2 by @WandsAI using the seed words #{word1}, #{word2}, #{word3} + sequence length of {length}. My Protein has a {plddt}% plDDT score!"
+    tweet_url = f"https://twitter.com/intent/tweet?text={urllib.parse.quote(tweet_text)}"
+    return tweet_url
+
+# Initialize session state variables
+if 'sequence' not in st.session_state:
+    st.session_state.sequence = None
+if 'show_analyze_button' not in st.session_state:
+    st.session_state.show_analyze_button = False
+if 'structure_info' not in st.session_state:
+    st.session_state.structure_info = None
+
+st.title("📖 User Guide:")
+
+st.sidebar.subheader("Generate Sequence from Words")
+word1 = st.sidebar.text_input("Word 1")
+word2 = st.sidebar.text_input("Word 2")
+word3 = st.sidebar.text_input("Word 3")
+sequence_length = st.sidebar.number_input("Sequence Length", min_value=50, max_value=400, value=100, step=10)