Update app.py

app.py

@@ -475,38 +475,48 @@ def show_tabular_data(df, co):
     start_idx = (st.session_state.current_page - 1) * rows_per_page
     end_idx = start_idx + rows_per_page
     
+    # Add a "Calculate Relevancy" button at the top
+    if st.button("Calculate Relevancy for Selected"):
+        selected_indices = [i for i, selected in enumerate(st.session_state.selected_rows) if selected]
+        with st.spinner('Calculating relevancy scores...'):
+            for index in selected_indices:
+                if pd.isna(df.at[index, 'relevancy_score']) or df.at[index, 'relevancy_score'] == 0:
+                    df.at[index, 'relevancy_score'] = calculate_single_relevancy(df.iloc[index])
+        st.success(f"Calculated relevancy scores for {len(selected_indices)} selected rows.")
+        st.experimental_rerun()
+    
     # Display column headers
-    cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
-    headers = ['Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score', 'Competitors']
+    cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])
+    headers = ['Select', 'Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score', 'Competitors']
     for col, header in zip(cols, headers):
         col.write(f"**{header}**")
 
+    # Initialize selected_rows in session state if not present
+    if 'selected_rows' not in st.session_state:
+        st.session_state.selected_rows = [False] * len(df)
+
     # Display each row
     for index, row in df.iloc[start_idx:end_idx].iterrows():
-        cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
+        cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])
+        
+        # Checkbox for row selection
+        cols[0].checkbox("", key=f"select_{index}", value=st.session_state.selected_rows[index],
+                         on_change=lambda i=index: setattr(st.session_state, 'selected_rows', 
+                                                           [True if j == i 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']
-        cols[0].markdown(f"[{truncated_url}]({row['page']})")
+        cols[1].markdown(f"[{truncated_url}]({row['page']})")
         
-        cols[1].write(row['query'])
-        cols[2].write(row['clicks'])
-        cols[3].write(row['impressions'])
-        cols[4].write(f"{row['ctr']:.2%}")
-        cols[5].write(f"{row['position']:.1f}")
-        
-        # Relevancy Score column
-        if pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0:
-            if cols[6].button("Calculate", key=f"calc_{index}"):
-                with st.spinner('Calculating...'):
-                    score = calculate_single_relevancy(row)
-                    df.at[index, 'relevancy_score'] = score
-                st.experimental_rerun()
-        else:
-            cols[6].write(f"{row['relevancy_score']:.4f}")
+        cols[2].write(row['query'])
+        cols[3].write(row['clicks'])
+        cols[4].write(row['impressions'])
+        cols[5].write(f"{row['ctr']:.2%}")
+        cols[6].write(f"{row['position']:.1f}")
+        cols[7].write(f"{row['relevancy_score']:.4f}" if not pd.isna(row['relevancy_score']) and row['relevancy_score'] != 0 else "N/A")
         
         # Competitors column
-        competitor_button = cols[7].button("Show Competitors", key=f"comp_{index}", disabled=pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0)
+        competitor_button = cols[8].button("Show", key=f"comp_{index}", disabled=pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0)
         if competitor_button:
             st.write(f"Competitor Analysis for: {row['query']}")
             with st.spinner('Analyzing competitors...'):