Update app.py

app.py

@@ -8,8 +8,12 @@ model_name = "meta-llama/Meta-Llama-3.1-8B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
 
-# KMMLU 데이터셋 로드 (예시)
-df = pd.read_csv("kmmlu_sample.csv")
+# KMMLU 데이터셋 로드 
+# 직접 불러오기 df = pd.read_csv("kmmlu_sample.csv")
+
+from datasets import load_dataset
+
+df = load_dataset("HAERAE-HUB/KMMLU", "Accounting")
 
 def evaluate_model(question, choices):
     prompt = f"질문: {question}\n\n선택지:\n"