Update app.py

app.py

@@ -633,7 +633,7 @@ def show_tabular_data(df, co, country_code):
                 if pd.isna(df.iloc[index]['relevancy_score']) or df.iloc[index]['relevancy_score'] == 0:
                     df.iloc[index, df.columns.get_loc('relevancy_score')] = calculate_single_relevancy(df.iloc[index])
         st.success(f"Calculated relevancy scores for {len(selected_indices)} selected rows.")
-        st.experimental_rerun()
+        st.rerun()
     
     # Display column headers
     cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])
@@ -645,10 +645,10 @@ def show_tabular_data(df, co, country_code):
     for i, row in enumerate(df.iloc[start_idx:end_idx].itertuples(), start=start_idx):
         cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])
         
-        # Checkbox for row selection
-        cols[0].checkbox("", key=f"select_{i}", value=st.session_state.selected_rows[i],
+        # Checkbox for row selection with a label
+        cols[0].checkbox("Select", key=f"select_{i}", value=st.session_state.selected_rows[i],
                          on_change=lambda idx=i: setattr(st.session_state, 'selected_rows', 
-                                                           [True if j == idx else x for j, x in enumerate(st.session_state.selected_rows)]))
+                                                       [True if j == idx else x for j, x in enumerate(st.session_state.selected_rows)]))
         
         # Truncate and make the URL clickable
         truncated_url = row.page[:30] + '...' if len(row.page) > 30 else row.page
@@ -677,7 +677,7 @@ def show_tabular_data(df, co, country_code):
             if st.session_state[competitor_state_key]:
                 st.write(f"Competitor Analysis for: {row.query}")
                 with st.spinner('Analyzing competitors...'):
-                    results_df = analyze_competitors(row._asdict(), co, country_code=country_code)
+                    results_df = analyze_competitors(row, co, country_code=country_code)
                     
                     # Sort the results by Position in ascending order
                     results_df = results_df.sort_values('Position', ascending=True).reset_index(drop=True)
@@ -717,11 +717,11 @@ def show_tabular_data(df, co, country_code):
                             st.warning("Your page's relevancy score is in the lower half of the results. Consider optimizing your content.")
                     else:
                         st.error(f"Our page '{row.page}' is not in the results. This indicates an error in fetching or processing the page.")
-
+    
                     if compare_state_key not in st.session_state:
                         st.session_state[compare_state_key] = False
                     
-                    if st.button("Compare Your Relevancy Score to the Page In First Place", key=compare_button_key):
+                    if cols[8].button("Compare Your Relevancy Score to the Page In First Place", key=compare_button_key):
                         st.session_state[compare_state_key] = True
                     
                     if st.session_state[compare_state_key]: