Update app.py

app.py

@@ -17,9 +17,8 @@ def predict_label(text):
 
     ensemble_span_scores = [score for scores in [span_scores, msa_span_scores] for score in scores]
     ensemble_pooled_scores = pool_span_scores(ensemble_span_scores, ip_len)
-    ensemble_pred_tags = [entities_from_token_classes(sent_targs) for sent_targs in ensemble_pooled_scores]
-    print('ensemble_pred_tags: ', ensemble_pred_tags)
-    ent_scores = extract_ent_scores(entity_model,ip,ensemble_pred_tags, pos_col=1, task_col=2)
+    
+    ent_scores = extract_ent_scores(entity_model,ip,ensemble_pooled_scores, pos_col=1, task_col=2)
     combined_sequences, ent_pred_tags = pool_ent_scores(ent_scores, ip_len)
     
     return combined_sequences