Update README.md

README.md

@@ -26,7 +26,7 @@ model = PegasusForConditionalGeneration.from_pretrained(model_name).to(torch_dev
 
 def get_response(input_text):
   batch = tokenizer([input_text],truncation=True,padding='longest',max_length=1024, return_tensors="pt").to(torch_device)
-  gen_out = model.generate(**batch,max_length=128,num_beams=4, num_return_sequences=1, temperature=1.5)
+  gen_out = model.generate(**batch,max_length=128,num_beams=5, num_return_sequences=1, temperature=1.5)
   output_text = tokenizer.batch_decode(gen_out, skip_special_tokens=True)
   return output_text
 ```