Update app.py

app.py

@@ -463,27 +463,30 @@ def show_tabular_data(df, co):
         return score
 
     # Display column headers
-    cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
-    headers = ['Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score', 'Calculate']
+    cols = st.columns([3, 2, 1, 1, 1, 1, 1])
+    headers = ['Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score']
     for col, header in zip(cols, headers):
         col.write(f"**{header}**")
 
     # Display each row
     for index, row in df_display.iterrows():
-        cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
+        cols = st.columns([3, 2, 1, 1, 1, 1, 1])
         cols[0].write(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}")
-        cols[6].write(f"{row['relevancy_score']:.4f}" if row['relevancy_score'] else "N/A")
         
-        if cols[7].button("Calculate", key=f"calc_{index}"):
-            score = calculate_single_relevancy(row)
-            df.at[index, 'relevancy_score'] = score
-            df_display.at[index, 'relevancy_score'] = score
-            st.experimental_rerun()
+        # Relevancy Score column
+        if pd.isna(row['relevancy_score']) or row['relevancy_score'] == 0:
+            if cols[6].button("Calculate", key=f"calc_{index}"):
+                score = calculate_single_relevancy(row)
+                df.at[index, 'relevancy_score'] = score
+                df_display.at[index, 'relevancy_score'] = score
+                st.experimental_rerun()
+        else:
+            cols[6].write(f"{row['relevancy_score']:.4f}")
 
     if st.button("Show Competitor Analysis"):
         st.write("Competitor Analysis")