add

app.py

@@ -20,9 +20,9 @@ from transformers import BertTokenizerFast, BertTokenizer
 model = GPT2LMHeadModel.from_pretrained("binxu/Ziyue-GPT2")
 generator = pipeline('text-generation', model=model, tokenizer='bert-base-chinese')
 
-def generate(prompt, num_beams, max_length, repetition_penalty, seed):
+def generate(prompt, num_beams, max_length, repetition_penalty, ):
 
-    torch.manual_seed(seed)
+    torch.manual_seed(42)
 
     outputs = generator(prompt, max_length=max_length, num_return_sequences=5, num_beams=num_beams, repetition_penalty=repetition_penalty)
     output_texts = [output['generated_text'] for output in outputs]