Update app.py

app.py

@@ -13,6 +13,7 @@ class NewsAnalytic():
         self.model = T5ForZeroShotClassification.from_pretrained('knowledgator/comprehend_it-multilingual-t5-base')
         self.tokenizer = T5Tokenizer.from_pretrained('knowledgator/comprehend_it-multilingual-t5-base')
         self.classifier = ZeroShotClassificationPipeline(model=self.model, tokenizer=self.tokenizer,ypothesis_template = '{}', encoder_decoder = True)
+        nltk.download("punkt")
         print("load model berhasil!")
     def anoted_sentence(self,content,candidate_labels):
         sentences = nltk.sent_tokenize(content)