fix trunca

app/ner/services/ner.py

@@ -25,9 +25,9 @@ class NER:
         
         inputs = self.tokenizer(
             text,
-            truncation=settings.TRUNCATE,  # Enable truncation
-            max_length=settings.MAX_LENGTH,  # Set maximum length
-            return_tensors="pt"  # Make sure the tokenized inputs are returned as PyTorch tensors
+            truncation=settings.TRUNCATE, 
+            max_length=settings.MAX_LENGTH, 
+            return_tensors="pt"  
         )
 
         pred = self.model(**inputs)