Update app.py

app.py

@@ -197,54 +197,54 @@ if fetch_data:
             incomplete_mask = metadata_df.map(is_incomplete).any(axis=1)
             incomplete_records = metadata_df[incomplete_mask]
 
-                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')
+            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')
+        
+            if len(incomplete_with_desc) > 1 and len(reference_df) > 1:
+                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 = reference_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.markdown("""
+                <div class='custom-table'>
+                <b>ℹ️ Not enough descriptive data to generate metadata suggestions.</b>
+                </div>
+                """, unsafe_allow_html=True)
             
-                if len(incomplete_with_desc) > 1 and len(reference_df) > 1:
-                    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 = reference_df.iloc[top_idx]['subject']
-                                if pd.notna(suggested_subject) and suggested_subject:
-                                    suggestions.append((row['title'], suggested_subject))
+                    except Exception as e:
+                        st.error(f"Error generating metadata suggestions: {e}")
             
-                        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.markdown("""
-        <div class='custom-table'>
-        <b>ℹ️ Not enough descriptive data to generate metadata suggestions.</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)
+                else:
+                    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.")