fix

app.py

@@ -179,9 +179,15 @@ if selected_model == 'Cas9':
                     st.markdown("**Nuclease**")
                     st.markdown("SpCas9")
                 # Include "Target" in the DataFrame's columns
-                df = pd.DataFrame(st.session_state['on_target_results'],
-                                  columns=["Gene ID", "Start Pos", "End Pos", "Strand", "Transcript_id", "Target", "gRNA", "Prediction"])
-                st.dataframe(df)
+                try:
+                    df = pd.DataFrame(st.session_state['on_target_results'],
+                                      columns=["Chr", "Start", "End", "Strand", "Transcript ID", "Target Sequence",
+                                               "sgRNA", "Prediction"])
+                    st.dataframe(df)
+                except ValueError as e:
+                    st.error(f"DataFrame creation error: {e}")
+                    # Optionally print or log the problematic data for debugging:
+                    print(st.session_state['on_target_results'])
                 # Initialize Plotly figure
                 fig = go.Figure()
 
@@ -383,7 +389,7 @@ if selected_model == 'Cas9':
 elif selected_model == 'Cas12':
     # Gene symbol entry with autocomplete-like feature
     gene_symbol = st.selectbox('Enter a Gene Symbol:', [''] + gene_symbol_list, key='gene_symbol',
-                               format_func=lambda x: x if x else "e.g., FOXA1")
+                               format_func=lambda x: x if x else "")
 
     # Initialize the current_gene_symbol in the session state if it doesn't exist
     if 'current_gene_symbol' not in st.session_state:

cas9on.py

@@ -140,6 +140,8 @@ def process_gene(gene_symbol, model_path):
                         # Predict on-target efficiency for each gRNA site
                         formatted_data = format_prediction_output(targets,model_path)
                         results.append(formatted_data)
+                        print(f"Appended formatted data: {formatted_data[-1]}")  # Check the last appended item
+                        print(f"Current results length: {len(results)}")
                 else:
                     print("Failed to retrieve gene sequence.")
     else: