added confidence

generic_nel.py

@@ -115,10 +115,10 @@ class NelPipeline(Pipeline):
             # output_scores=True,
         )
         # print(outputs)
-        token_ids, scores = outputs.sequences, outputs.scores
+        # token_ids, scores = outputs.sequences, outputs.scores
         # Decode the predictions into readable text
         wikipedia_predictions = self.tokenizer.batch_decode(
-            outputs.sequences, skip_special_tokens=True
+            outputs, skip_special_tokens=True
         )
         # Process the scores for each token