Update classification.py

classification.py

@@ -177,8 +177,13 @@ def match_categories(df, category_df, treshold=0.45):
         if isinstance(ebd_content, torch.Tensor):
             cos_scores = util.cos_sim(ebd_content, torch.stack(list(category_df['Embeddings']), dim=0))[0]
             high_score_indices = [i for i, score in enumerate(cos_scores) if score > treshold]
+            categories_list.append([category_df.loc[index, 'description'] for index in high_score_indices])
+            experts_list.append([category_df.loc[index, 'experts'] for index in high_score_indices])
+            topic_list.append([category_df.loc[index, 'topic'] for index in high_score_indices])
+            scores_list.append([float(cos_scores[index]) for index in high_score_indices])
             for j in high_score_indices:
                 df.loc[index, category_df.loc[j, 'topic']] = float(cos_scores[j])
+    
     return df
 
 def save_data(df, filename):