Update app.py

app.py

@@ -5,9 +5,9 @@ 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):
+def king_jamesify(input_text, temperature, max_length, num_beams, repetition_penalty, length_penalty, top_k, top_p, no_repeat_ngram_size):
     input_ids = tokenizer.encode(input_text, return_tensors='pt').to(torch.int64)
-    generated_ids = model.generate(input_ids=input_ids, max_length=100, num_beams=4, repetition_penalty=2.5, length_penalty=1.0, temperature=1.0, top_k=50, top_p=1.0, no_repeat_ngram_size=3)
+    generated_ids = model.generate(input_ids=input_ids, max_length=max_length, num_beams=num_beams, repetition_penalty=repetition_penalty, length_penalty=length_penalty, temperature=temperature, top_k=top_k, top_p=top_p, no_repeat_ngram_size=no_repeat_ngram_size)
     result = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
     return result