Update app.py

app.py

@@ -252,9 +252,9 @@ def analyze_competitors(row, co, custom_url=None, country_code=None):
         competitor_url = normalize_url(data['url'])
         score = calculate_relevance_score(data['content'], query, co)
         results.append({
-            'position': data['position'],
-            'url': competitor_url,
-            'relevancy_score': score,
+            'Position': data['position'],
+            'URL': competitor_url,
+            'Score': score,
             'is_our_url': competitor_url == our_url
         })
     
@@ -263,23 +263,26 @@ def analyze_competitors(row, co, custom_url=None, country_code=None):
     
     if not any(r['is_our_url'] for r in results):
         results.append({
-            'position': len(results) + 1,
-            'url': our_url,
-            'relevancy_score': our_score,
+            'Position': len(results) + 1,
+            'URL': our_url,
+            'Score': our_score,
             'is_our_url': True
         })
     
     # Sort results by position
-    results = sorted(results, key=lambda x: x['position'])
+    results = sorted(results, key=lambda x: x['Position'])
     
-    # Create DataFrame and format
-    results_df = pd.DataFrame(results)[['position', 'url', 'relevancy_score', 'is_our_url']]
-    results_df['position'] = results_df['position'].astype(int)
-    results_df['url'] = results_df.apply(
-        lambda x: f"**{x['url']}**" if x['is_our_url'] else x['url'], axis=1
+    # Create DataFrame
+    results_df = pd.DataFrame(results)
+    results_df['Position'] = results_df['Position'].astype(int)
+    
+    # Mark our URL
+    results_df['URL'] = results_df.apply(
+        lambda x: f"{x['URL']} (Our URL)" if x['is_our_url'] else x['URL'], axis=1
     )
-    results_df = results_df[['position', 'url', 'relevancy_score']]
-    results_df.columns = ['Position', 'URL', 'Score']
+    
+    # Keep only the columns we want to display
+    results_df = results_df[['Position', 'URL', 'Score']]
     
     return results_df
 
@@ -593,18 +596,20 @@ def show_tabular_data(df, co, country_code):
             st.write(f"Competitor Analysis for: {row.query}")
             with st.spinner('Analyzing competitors...'):
                 results_df = analyze_competitors(row._asdict(), co, country_code=country_code)
-                print(results_df)
+                
                 # Sort the results by Score in descending order
                 results_df = results_df.sort_values('Score', ascending=False).reset_index(drop=True)
                 
                 # Find our page's rank
-                our_rank = results_df.index[results_df['URL'].str.contains('\*\*')].tolist()
+                our_rank = results_df.index[results_df['URL'].str.contains('Our URL')].tolist()
                 if our_rank:
                     our_rank = our_rank[0] + 1  # Adding 1 because index starts at 0
                     total_results = len(results_df)
-                    our_score = results_df.loc[results_df['URL'].str.contains('\*\*'), 'Score'].values[0]
+                    our_score = results_df.loc[results_df['URL'].str.contains('Our URL'), 'Score'].values[0]
+                    
+                    # Display the styled DataFrame without index
+                    st.dataframe(results_df.style.highlight_max(axis=0, color='lightgreen').hide_index())
                     
-                    st.dataframe(results_df)
                     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}")