Update app.py

app.py

@@ -3,6 +3,7 @@ import datetime
 import base64
 import os
 import sys
+import json
 
 # Related third-party imports
 import streamlit as st
@@ -353,6 +354,18 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
     
     page_data = report.iloc[start_idx:end_idx].reset_index(drop=True)
     
+    # Display column headers
+    col1, col2, col3, col4, col5, col6, col7, col8 = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
+    col1.write("**Page**")
+    col2.write("**Query**")
+    col3.write("**Impressions**")
+    col4.write("**Clicks**")
+    col5.write("**CTR**")
+    col6.write("**Position**")
+    col7.write("**Relevancy Score**")
+    col8.write("**Action**")
+
+    # Display data rows
     for idx, row in page_data.iterrows():
         col1, col2, col3, col4, col5, col6, col7, col8 = st.columns([3, 2, 1, 1, 1, 1, 1, 1])
         with col1:
@@ -374,6 +387,7 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
                 logger.info(f"Calculating relevancy for row index: {start_idx + idx}")
                 try:
                     page_content = fetch_content(row['page'])
+                    logger.info(f"Fetched content for {row['page']}: {page_content[:100]}...")  # Log the first 100 characters
                     query = row['query']
                     relevancy_score = calculate_single_relevancy_score(page_content, query, model_type)
                     logger.info(f"Relevancy score calculated: {relevancy_score}")
@@ -382,9 +396,16 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
                     st.experimental_rerun()
                 except Exception as e:
                     logger.error(f"Error calculating relevancy score: {str(e)}")
+                    logger.error(f"Error details: {type(e).__name__}, {str(e)}")
                     st.error(f"Error calculating relevancy score: {str(e)}")
+                    if isinstance(e, requests.exceptions.RequestException):
+                        st.error(f"Error fetching content from {row['page']}. Please check if the URL is accessible.")
+                    elif isinstance(e, json.JSONDecodeError):
+                        st.error("Error parsing JSON response. The content might not be in the expected format.")
 
     return report
+
+# Make sure to import json at the top of your file
 # -------------
 # Main Streamlit App Function
 # -------------