Update app.py

app.py

@@ -210,42 +210,36 @@ if fetch_data:
                 st.success("All records are complete!")
 
             st.subheader("Suggested Metadata Enhancements")
-        incomplete_with_desc = incomplete_records[incomplete_records['description'].notnull()]
-        reference_df = metadata_df[metadata_df['subject'].notnull() & metadata_df['description'].notnull()]
-        tfidf = TfidfVectorizer(stop_words='english')
-        try:
-            suggestions = []
-                tfidf = TfidfVectorizer(stop_words='english')
+            incomplete_with_desc = incomplete_records[incomplete_records['description'].notnull()]
+            reference_df = metadata_df[metadata_df['subject'].notnull() & metadata_df['description'].notnull()]
+            tfidf = TfidfVectorizer(stop_words='english')
+            try:
+                suggestions = []
             tfidf_matrix = tfidf.fit_transform(reference_df['description'])
             for idx, row in incomplete_with_desc.iterrows():
-                        if pd.isna(row['subject']) and pd.notna(row['description']):
-                            desc_vec = tfidf.transform([str(row['description'])])
-                            sims = cosine_similarity(desc_vec, tfidf_matrix).flatten()
-                            top_idx = sims.argmax()
-                            suggested_subject = metadata_df.iloc[top_idx]['subject']
-                            if pd.notna(suggested_subject) and suggested_subject:
-                                suggestions.append((row['title'], suggested_subject))
-                    if suggestions:
-                        suggestions_df = pd.DataFrame(suggestions, columns=["Title", "Suggested Subject"])
-                        st.subheader("📋 Suggested Metadata Enhancements Table")
-                        st.table(suggestions_df)
-
-                        st.markdown("<div class='custom-table'>" + suggestions_df.to_markdown(index=True) + "</div>", unsafe_allow_html=True)
-
-                    else:
-                        st.markdown("""
-                        <div class='custom-table'>
-                        <b>ℹ️ No metadata enhancement suggestions available.</b>
-                        </div>
-                        """, unsafe_allow_html=True)
-                except Exception as e:
-                    st.error(f"Error generating metadata suggestions: {e}")
-            else:
-                st.markdown("""
-                <div class='custom-table'>
-                <b>ℹ️ Not enough descriptive data to generate metadata suggestions.</b>
-                </div>
-                """, unsafe_allow_html=True)
-
+                if pd.isna(row['subject']) and pd.notna(row['description']):
+                    desc_vec = tfidf.transform([str(row['description'])])
+                    sims = cosine_similarity(desc_vec, tfidf_matrix).flatten()
+                    top_idx = sims.argmax()
+                    suggested_subject = metadata_df.iloc[top_idx]['subject']
+                if pd.notna(suggested_subject) and suggested_subject:
+                    suggestions.append((row['title'], suggested_subject))
+                if suggestions:
+                    suggestions_df = pd.DataFrame(suggestions, columns=["Title", "Suggested Subject"])
+                    st.markdown("<div class='custom-table'>" + suggestions_df.to_markdown(index=False) + "</div>", unsafe_allow_html=True)
+                else:
+                    st.markdown("""
+                    <div class='custom-table'>
+                    <b>ℹ️ No metadata enhancement suggestions available.</b>
+                    </div>
+                    """, unsafe_allow_html=True)
+            except Exception as e:
+                st.error(f"Error generating metadata suggestions: {e}")
         else:
-            st.warning("No metadata records found for this collection. Try selecting another one.")
+            st.markdown("""
+            <div class='custom-table'>
+            <b>ℹ️ Not enough descriptive data to generate metadata suggestions.</b>
+            </div>
+            """, unsafe_allow_html=True)
+else:
+    st.warning("⚠️ No metadata records found for this collection. Try selecting another one.")