Update app.py

app.py

@@ -212,12 +212,8 @@ if fetch_data:
             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_matrix = tfidf.fit_transform(reference_df['description'])
-            if len(incomplete_with_desc) > 1 and len(reference_df) > 1:
-                try:
-                    tfidf = TfidfVectorizer(stop_words='english')
-                    tfidf_matrix = tfidf.fit_transform(filled_descriptions)
-                    suggestions = []
+            tfidf = TfidfVectorizer(stop_words='english')
+                                suggestions = []
                     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'])])