Update app.py

app.py

@@ -104,7 +104,7 @@ metadata_df = pd.DataFrame()
 
 # Display Summary Statistics if available
 if 'metadata_df' in locals() and not metadata_df.empty:
-    st.sidebar.markdown("### 📊 Quick Stats")
+    st.sidebar.markdown("### Quick Stats")
     st.sidebar.write(f"Total Records: {len(metadata_df)}")
     st.sidebar.write(f"Incomplete Records: {len(metadata_df[metadata_df.isnull().any(axis=1)])}")
 
@@ -116,9 +116,9 @@ search_query = collections[selected]
 collection_url = f"https://www.loc.gov/search/?q={search_query}&fo=json"
 
 
-# 🔗 Helpful Resources (styled and moved below dropdown)
-st.sidebar.markdown("### 🔗 Helpful Resources", unsafe_allow_html=True)
-# 🔗 Helpful Resources styled section
+# Helpful Resources (styled and moved below dropdown)
+st.sidebar.markdown("### Helpful Resources", unsafe_allow_html=True)
+# Helpful Resources styled section
 st.sidebar.markdown("""
 <style>
 .sidebar-section h3 {
@@ -204,6 +204,12 @@ if fetch_data:
 
         metadata_df = pd.DataFrame(items)
 
+                # Show summary statistics in sidebar
+        if not metadata_df.empty:
+            st.sidebar.markdown("### 📊 Quick Stats")
+            st.sidebar.write(f"Total Records: {len(metadata_df)}")
+            st.sidebar.write(f"Incomplete Records: {len(metadata_df[metadata_df.isnull().any(axis=1)])}")
+
         # Utility functions for deeper metadata quality analysis
         def is_incomplete(value):
             return pd.isna(value) or value in ["", "N/A", "null", None]