Update app.py

app.py

@@ -8,7 +8,7 @@ model = PegasusForConditionalGeneration.from_pretrained(model_name).to(torch_dev
 
 def get_response(input_text,num_return_sequences):
  batch = tokenizer.prepare_seq2seq_batch([input_text],truncation=True,padding='longest',max_length=60, return_tensors="pt").to(torch_device)
- translated = model.generate(**batch,max_length=60,num_beams=5, num_return_sequences=num_return_sequences, temperature=1.4)
+ translated = model.generate(**batch,max_length=60,num_beams=4, num_return_sequences=num_return_sequences, temperature=0.5)
  tgt_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
  return tgt_text