won

app.py

@@ -1,7 +1,37 @@
-import gradio as gr
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-def greet(name):
-    return "Hello " + name + "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"
+# 1. 디바이스 설정
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# 2. 한국어 GPT-2 모델과 토크나이저 로드
+tokenizer = AutoTokenizer.from_pretrained("skt/kogpt2-base-v2")
+model = AutoModelForCausalLM.from_pretrained("skt/kogpt2-base-v2").to(device)
+
+# 3. 한국어 소설 생성 함수
+def generate_korean_story(prompt, max_length=300):
+    input_ids = tokenizer.encode(prompt, return_tensors="pt").to(device)
+
+    outputs = model.generate(
+        input_ids,
+        max_length=max_length,
+        min_length=100,
+        do_sample=True,
+        temperature=0.9,
+        top_k=50,
+        top_p=0.95,
+        repetition_penalty=1.2,
+        no_repeat_ngram_size=3,
+        eos_token_id=tokenizer.eos_token_id
+    )
+
+    story = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return story
+
+# 4. 실행
+if __name__ == "__main__":
+    user_prompt = input("📜 소설의 시작 문장을 입력하세요 (한국어): ")
+    result = generate_korean_story(user_prompt, max_length=500)
+    
+    print("\n📖 생성된 한국어 소설:\n")
+    print(result)