Update app.py

app.py

@@ -463,14 +463,14 @@ def show_tabular_data(df, co):
         return score
 
     # Display column headers
-    cols = st.columns([3, 2, 1, 1, 1, 1, 1])
-    headers = ['Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score']
+    cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
+    headers = ['Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score', 'Competitors']
     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])
+        cols = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
         cols[0].write(row['page'])
         cols[1].write(row['query'])
         cols[2].write(row['clicks'])
@@ -487,12 +487,31 @@ def show_tabular_data(df, co):
                 st.experimental_rerun()
         else:
             cols[6].write(f"{row['relevancy_score']:.4f}")
-
-    if st.button("Show Competitor Analysis"):
-        st.write("Competitor Analysis")
-        for index, row in df.iterrows():
-            with st.expander(f"Analyze competitors for: {row['query']}"):
-                show_competitor_analysis(row, co)
+        
+        # Competitors column
+        if cols[7].button("Show Competitors", key=f"comp_{index}"):
+            st.write(f"Competitor Analysis for: {row['query']}")
+            with st.spinner('Analyzing competitors...'):
+                results_df = analyze_competitors(row, co)
+                st.dataframe(results_df)
+                
+                our_data = results_df[results_df['url'] == row['page']]
+                if not our_data.empty:
+                    our_rank = our_data.index[0] + 1
+                    total_results = len(results_df)
+                    our_score = our_data['relevancy_score'].values[0]
+                    
+                    st.write(f"Our page ranks {our_rank} out of {total_results} in terms of relevancy score.")
+                    st.write(f"Our relevancy score: {our_score:.4f}")
+                    
+                    if our_rank == 1:
+                        st.success("Your page has the highest relevancy score!")
+                    elif our_rank <= 3:
+                        st.info("Your page is among the top 3 most relevant results.")
+                    elif our_rank > total_results / 2:
+                        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.")
 
     return df  # Return the updated dataframe