Update app.py

app.py

@@ -119,7 +119,7 @@ collections = {
 metadata_df = pd.DataFrame()
 
 # Add a key to the selectbox to ensure it refreshes properly
-selected = st.sidebar.selectbox("Select a collection", list(collections.keys()), key="collection_selector")
+selected = st.sidebar.radio("Select a Collection", list(collections.keys()), key="collection_selector")
 search_query = collections[selected]
 
 # Define the collection URL
@@ -201,17 +201,27 @@ if fetch_data:
             completeness_df = pd.DataFrame({"Field": completeness.index, "Completeness (%)": completeness.values})
             completeness_table = completeness_df.set_index("Field")
         
-            # 📊 Sidebar Quick Stats
+            # Sidebar Quick Stats
             stats_html = f"""
-            <div class="sidebar-contrast-block">
-                <h4 style="color: lightgray;">Quick Stats</h4>
-                <p style="color:lightgray;">Total Records: <b>{len(metadata_df)}</b></p>
-                <p style="color:lightgray;">Incomplete Records: <b>{incomplete_count}</b></p>
-                <p style="color:lightgray;">Overall Completeness: <b>{overall_percent:.1f}%</b></p>
+            <div style='
+                background-color: #2b2b2b;
+                padding: 1.5rem;
+                border-radius: 12px;
+                margin-bottom: 1.5rem;
+                box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
+            '>
+                <h4 style='color: #90EE90; margin-bottom: 1rem;'>📊 Quick Stats</h4>
+                <div style='color: lightgray; line-height: 1.8; font-size: 0.95rem;'>
+                    <b>Total Records:</b> {len(metadata_df)}<br>
+                    <b>Incomplete Records:</b> {incomplete_count}<br>
+                    <b>Overall Completeness:</b> {overall_percent:.1f}%
+                </div>
             </div>
             """
             stats_placeholder.markdown(stats_html, unsafe_allow_html=True)
 
+            stats_placeholder.markdown(stats_html, unsafe_allow_html=True)
+
             # Calculate Top 10 Subjects
             if 'subject' in metadata_df.columns:
                 top_subjects = (