Update app.py

app.py

@@ -69,7 +69,7 @@ st.markdown("""
 """, unsafe_allow_html=True)
 
 # Near the top of your app, after the CSS styling
-st.image("https://www.loc.gov/static/images/logo-loc-new-branding.svg", use_container_width=True)
+st.image("https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/7ThcAOjbuM8ajrP85bGs4.jpeg", use_container_width=True)
 
 
 # Streamlit app header
@@ -160,11 +160,11 @@ def is_valid_date(value):
         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")
@@ -174,19 +174,19 @@ if not metadata_df.empty:
     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: