fix truncate

app/ner/services/ner.py

@@ -30,15 +30,12 @@ class NER:
             return_tensors="pt"  # Make sure the tokenized inputs are returned as PyTorch tensors
         )
 
-        # Get the prediction from the model
         pred = self.model(**inputs)
         
-        # Convert model output to pipeline format
         pred = self.pipeline.decode(pred.logits)
         
-        # pred = self.pipeline(text, 
-        #                      truncation=settings.TRUNCATE,
-        #                      max_length=settings.MAX_LENGTH)
+        # pred = self.pipeline(text)
+        
         if entity_tag:
             return self.extract_entities(pred, entity_tag)
         return pred