Update news_category_similar_news_prediction.py

news_category_similar_news_prediction.py

@@ -95,7 +95,7 @@ def predict_news_category_similar_news(old_news: pd.DataFrame, new_news: pd.Data
                 sim_news = [find_similar_news(text, search_vec, collection, vectorizer, sent_model, ce_model) for search_vec, text in zip(sent_embs, headlines)]
                 new_news['category'] = label
                 new_news['pred_proba'] = prob
-                final_df['similar_news'] = sim_news
+                new_news['similar_news'] = sim_news
                 final_df = pd.concat([old_news, new_news], axis=0, ignore_index=True)
                 final_df.drop_duplicates(subset='url', keep='first', inplace=True)
                 final_df.reset_index(drop=True, inplace=True)