Update app.py

app.py

@@ -636,15 +636,19 @@ def show_tabular_data(df, co, country_code):
         st.success(f"Calculated relevancy scores for {len(selected_indices)} selected rows.")
         st.experimental_rerun()
     
-    # Display column headers
-    cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1, 1])  # Removed the extra column for "Compare"
-    headers = ['Select', 'Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score', 'Competitors']
+    # Display column headers without the "Compare" column
+    cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1])  # Removed the extra column for "Compare"
+    headers = ['Select', 'Page', 'Query', 'Clicks', 'Impressions', 'CTR', 'Position', 'Relevancy Score']
     for col, header in zip(cols, headers):
         col.write(f"**{header}**")
 
+    # Variable to track which row's competitors are being shown
+    if 'competitor_display' not in st.session_state:
+        st.session_state.competitor_display = {}
+
     # Display each row
     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])  # Removed the extra column for "Compare"
+        cols = st.columns([0.5, 3, 2, 1, 1, 1, 1, 1])  # Removed the extra column for "Compare"
         
         # Checkbox for row selection
         cols[0].checkbox("", key=f"select_{i}", value=st.session_state.selected_rows[i],
@@ -662,9 +666,11 @@ def show_tabular_data(df, co, country_code):
         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[8].button("Show", key=f"comp_{i}", disabled=pd.isna(row.relevancy_score) or row.relevancy_score == 0)
-        if competitor_button:
+        # Competitors column with "Show" button
+        show_competitor = cols[7].button("Show", key=f"comp_{i}", disabled=pd.isna(row.relevancy_score) or row.relevancy_score == 0)
+        if show_competitor:
+            st.session_state.competitor_display[i] = True
+        if st.session_state.competitor_display.get(i, False):
             st.write(f"Competitor Analysis for: {row.query}")
             with st.spinner('Analyzing competitors...'):
                 results_df = analyze_competitors(row._asdict(), co, country_code=country_code)
@@ -677,10 +683,10 @@ def show_tabular_data(df, co, country_code):
                 results_df.loc[our_url_mask, 'Position'] = row.position
                 
                 # Create a custom style function to highlight only our URL's row
-                def highlight_our_url(row):
-                    if 'Our URL' in row['URL']:
-                        return ['background-color: lightgreen'] * len(row)
-                    return [''] * len(row)
+                def highlight_our_url(row_style):
+                    if 'Our URL' in row_style['URL']:
+                        return ['background-color: lightgreen'] * len(row_style)
+                    return [''] * len(row_style)
                 
                 # Apply the custom style and hide the index
                 styled_df = results_df.style.apply(highlight_our_url, axis=1).hide(axis="index")
@@ -708,20 +714,20 @@ def show_tabular_data(df, co, country_code):
                 else:
                     st.error(f"Our page '{row.page}' is not in the results. This indicates an error in fetching or processing the page.")
 
-                # Add "Compare" button at the bottom of the competitors table
-                st.markdown(
-                    """
-                    <style>
-                    .stButton > button {
-                        background-color: #008CBA;
-                        color: white;
-                    }
-                    </style>
-                    """,
-                    unsafe_allow_html=True
-                )
-                if st.button("Compare Your Relevancy Score to the Page In First Place", key=f"compare_{i}"):
-                    compare_with_top_result(row._asdict(), co, country_code)
+            # "Compare" button placed below the competitors table
+            st.markdown(
+                """
+                <style>
+                .stButton > button {
+                    background-color: #008CBA;
+                    color: white;
+                }
+                </style>
+                """,
+                unsafe_allow_html=True
+            )
+            if st.button("Compare Your Relevancy Score to the Page In First Place", key=f"compare_{i}"):
+                compare_with_top_result(row._asdict(), co, country_code)
 
     return df  # Return the updated dataframe