fixed bugs

app.py

@@ -99,7 +99,7 @@ if selected_model == 'Cas9':
 
     if target_selection == 'on-target':
         # Gene symbol entry
-        gene_symbol = st.text_input('Enter a Gene Symbol:', key='gene_symbol')
+        gene_symbol = st.text_input('Enter a Gene Symbol:', placeholder="e.g., FOXA1", key='gene_symbol')
 
         if 'current_gene_symbol' not in st.session_state:
             st.session_state['current_gene_symbol'] = ""
@@ -120,9 +120,13 @@ if selected_model == 'Cas9':
 
         # Process predictions
         if predict_button and gene_symbol:
-            predictions, gene_sequence = cas9on.process_gene(gene_symbol, cas9on_path)
-            sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
-            st.session_state['on_target_results'] = sorted_predictions
+            with st.spinner('Predicting... Please wait'):
+                predictions, gene_sequence = cas9on.process_gene(gene_symbol, cas9on_path)
+                sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
+                st.session_state['on_target_results'] = sorted_predictions
+
+            # notify the user once the process is completed successfully.
+            st.success('Prediction completed!')
 
             if 'on_target_results' in st.session_state and st.session_state['on_target_results']:
                 # Include "Target" in the DataFrame's columns
@@ -290,7 +294,7 @@ if selected_model == 'Cas9':
 
 elif selected_model == 'Cas12':
     # Gene symbol entry
-    gene_symbol = st.text_input('Enter a Gene Symbol:', key='gene_symbol')
+    gene_symbol = st.text_input('Enter a Gene Symbol:', placeholder="e.g., FOXA1", key='gene_symbol')
 
     # Initialize the current_gene_symbol in the session state if it doesn't exist
     if 'current_gene_symbol' not in st.session_state:
@@ -318,9 +322,11 @@ elif selected_model == 'Cas12':
         st.session_state['current_gene_symbol'] = gene_symbol
 
         # Run the prediction process
-        predictions, gene_sequence = cas12.process_gene(gene_symbol,cas12_path)
-        sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
-        st.session_state['on_target_results'] = sorted_predictions
+        with st.spinner('Predicting... Please wait'):
+            predictions, gene_sequence = cas12.process_gene(gene_symbol,cas12_path)
+            sorted_predictions = sorted(predictions, key=lambda x: x[-1], reverse=True)[:10]
+            st.session_state['on_target_results'] = sorted_predictions
+        st.success('Prediction completed!')
 
         # Visualization and file generation
         if 'on_target_results' in st.session_state and st.session_state['on_target_results']: