Update app.py

app.py

@@ -60,7 +60,7 @@ def setup_streamlit():
     st.set_page_config(page_title="Keyword Relevance Test", layout="wide")
     st.title("Keyword Relevance Test Using Vector Embedding")
     st.divider()
-    #logging.info("Streamlit app configured")
+    logging.info("Streamlit app configured")
 
 def init_session_state():
     if 'selected_property' not in st.session_state:
@@ -487,32 +487,21 @@ def show_model_type_selector():
     )
 
 def show_tabular_data(df, co):
-    st.write("Data Table with Relevancy Scores and Competitor Analysis")
+    st.write("Data Table with Relevancy Scores")
     
+    # Display the dataframe as a table
+    st.dataframe(df)
+
+    # Add an expander for each row to show competitor analysis
     for index, row in df.iterrows():
-        with st.expander(f"Query: {row['query']} | Page: {row['page']}"):
-            col1, col2 = st.columns(2)
-            
-            with col1:
-                st.write("GSC Data:")
-                st.write(f"URL: {row['page']}")
-                st.write(f"Query: {row['query']}")
-                st.write(f"Impressions: {row['impressions']}")
-                st.write(f"Clicks: {row['clicks']}")
-                st.write(f"Position: {row['position']}")
-                st.write(f"Relevancy Score: {row['relevancy_score']:.4f}")
-            
-            with col2:
-                st.write("Competitor Analysis:")
-                if st.button("Analyze Competitors", key=f"comp_{index}"):
-                    with st.spinner('Analyzing competitors...'):
-                        results_df = analyze_competitors(row, co)
-                        st.dataframe(results_df)
-                        
-                        our_rank = results_df.index[results_df['url'] == row['page']].tolist()[0] + 1
-                        st.write(f"Our page ranks {our_rank} out of {len(results_df)} in terms of relevancy score.")
-
-                        
+        with st.expander(f"Analyze Competitors for: {row['query']} | {row['page']}"):
+            if st.button("Analyze Competitors", key=f"comp_{index}"):
+                with st.spinner('Analyzing competitors...'):
+                    results_df = analyze_competitors(row, co)
+                    st.dataframe(results_df)
+                    
+                    our_rank = results_df.index[results_df['url'] == row['page']].tolist()[0] + 1
+                    st.write(f"Our page ranks {our_rank} out of {len(results_df)} in terms of relevancy score.")
 
 def show_date_range_selector():
   #  logging.info("Showing date range selector")