Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import T5Tokenizer, T5ForConditionalGeneration
 model = T5ForConditionalGeneration.from_pretrained('swcrazyfan/KingJamesify-T5-large')
 tokenizer = T5Tokenizer.from_pretrained('swcrazyfan/KingJamesify-T5-large')
 
-def king_jamesify(input_text, temperature, max_length, num_beams):
-    input_ids = tokenizer.encode(input_text, return_tensors='pt').to(torch.int64)
+def king_jamesify(input_text, num_beams, max_length, temperature):
+    input_ids = tokenizer.encode("kingify: " + input_text, return_tensors='pt').to(torch.int64)
     generated_ids = model.generate(input_ids=input_ids, max_length=max_length, num_beams=num_beams, temperature=temperature)
     result = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
     return result