Update app.py

app.py

@@ -46,7 +46,7 @@ class GradioInference:
  self.classifier = pipeline("text-classification", model="lxyuan/distilbert-base-multilingual-cased-sentiments-student", return_all_scores=False)
 
  # Initialize Multilingual summary model 
- self.tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
+ self.tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/mT5_multilingual_XLSum", truncation=True)
  self.model = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/mT5_multilingual_XLSum")
 
  self.config = {'max_new_tokens': 128, 'repetition_penalty': 1.1, 'temperature':0}