Update app.py

app.py

@@ -43,7 +43,7 @@ st.markdown("""
             box-shadow: 0 2px 5px rgba(0, 0, 0, 0.05) !important;
         }
         header[data-testid="stHeader"] {
-    background-color: #D3D3D3 !important;
+    background-color: #Gray !important;
 }
         section[data-testid="stSidebar"] > div:first-child {
     background-color: #1A1A1A !important;
@@ -166,11 +166,11 @@ if fetch_data:
                 return False
 
         if not metadata_df.empty:
-            st.subheader("📦 Retrieved Metadata Sample")
+            st.subheader("Retrieved Metadata Sample")
             st.dataframe(metadata_df.head())
 
             # Metadata completeness analysis (enhanced)
-            st.subheader("🧠 Metadata Completeness Analysis")
+            st.subheader("Metadata Completeness Analysis")
             completeness = metadata_df.map(lambda x: not is_incomplete(x)).mean() * 100
             completeness_df = pd.DataFrame({"Field": completeness.index, "Completeness (%)": completeness.values})
             fig = px.bar(completeness_df, x="Field", y="Completeness (%)", title="Metadata Completeness by Field")
@@ -180,19 +180,19 @@ if fetch_data:
             incomplete_mask = metadata_df.map(is_incomplete).any(axis=1)
             incomplete_records = metadata_df[incomplete_mask]
 
-            st.subheader("⚠️ Records with Incomplete Metadata")
+            st.subheader("Records with Incomplete Metadata")
             if not incomplete_records.empty:
                 st.dataframe(incomplete_records.astype(str))
             else:
                 st.success("All metadata fields are complete in this collection!")
 
-            st.subheader("📌 Identifiers of Items Needing Metadata Updates")
+            st.subheader("Identifiers of Items Needing Metadata Updates")
             if not incomplete_records.empty:
                 st.write(incomplete_records[['id', 'title']])
             else:
                 st.success("All records are complete!")
 
-            st.subheader("✨ Suggested Metadata Enhancements")
+            st.subheader("Suggested Metadata Enhancements")
             filled_descriptions = metadata_df[metadata_df['description'].notnull()]['description'].astype(str)
             if len(filled_descriptions) > 1:
                 try: