Update pipeline.py

pipeline.py

@@ -2,6 +2,7 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
 from typing import Dict, List, Any
 import itertools
 from nltk import sent_tokenize
+import nltk
 
 class PreTrainedPipeline():
     def __init__(self, path=""):
@@ -9,6 +10,7 @@ class PreTrainedPipeline():
         # Preload all the elements you are going to need at inference.
         # For instance your model, processors, tokenizer that might be needed.
         # This function is only called once, so do all the heavy processing I/O here"""
+        nltk.download('punkt')
         self.model = AutoModelForSeq2SeqLM.from_pretrained(path)        
         self.tokenizer = AutoTokenizer.from_pretrained(path)