Update app.py

app.py

@@ -7,13 +7,13 @@ import random
 model_name = "bloom-560m"
 model = AutoModelForCausalLM.from_pretrained(f"jslin09/{model_name}-finetuned-fraud")
 tokenizer = BloomTokenizerFast.from_pretrained(f'bigscience/{model_name}', bos_token = '<s>', eos_token = '</s>')
-rnd_seed = random.randint(10, 500)
 
 def rnd_generate(prompt):
+    rnd_seed = random.randint(10, 500)
     set_seed(rnd_seed)
     inputs = tokenizer(prompt, return_tensors="pt") # 回傳的張量使用 Pytorch的格式。如果是 Tensorflow 格式的話，則指定為 "tf"。
     results = model.generate(inputs["input_ids"],
-                       max_length=400,
+                       max_length=500,
                        num_return_sequences=1,
                        do_sample=True,
                        temperature=0.75,