Update app.py

app.py

@@ -8,7 +8,6 @@ torch_device = 'cuda' if torch.cuda.is_available() else 'cpu'
 tokenizer = PegasusTokenizer.from_pretrained(model_name)
 model = PegasusForConditionalGeneration.from_pretrained(model_name).to(torch_device)
 
-
 def get_response(input_text, num_return_sequences):
     batch = tokenizer.prepare_seq2seq_batch([input_text], truncation=True, padding='longest', max_length=10000,
                                             return_tensors="pt").to(torch_device)