Update app.py

app.py

@@ -63,7 +63,6 @@ items = []
 for record in records:
     if isinstance(record, dict):
         description = record.get("description", "")
-        # Ensure list descriptions are flattened to string
         if isinstance(description, list):
             description = " ".join([str(d) for d in description])
         item = {
@@ -99,18 +98,18 @@ if not metadata_df.empty:
 
     # Metadata completeness analysis (enhanced)
     st.subheader("🧠 Metadata Completeness Analysis")
-    completeness = metadata_df.applymap(lambda x: not is_incomplete(x)).mean() * 100
+    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")
     st.plotly_chart(fig)
 
     # Identify incomplete records
-    incomplete_mask = metadata_df.applymap(is_incomplete).any(axis=1)
+    incomplete_mask = metadata_df.map(is_incomplete).any(axis=1)
     incomplete_records = metadata_df[incomplete_mask]
 
     st.subheader("⚠️ Records with Incomplete Metadata")
     if not incomplete_records.empty:
-        st.dataframe(incomplete_records.astype(str))  # Convert to string to avoid ArrowError
+        st.dataframe(incomplete_records.astype(str))
     else:
         st.success("All metadata fields are complete in this collection!")