Update util/keywordExtract.py

util/keywordExtract.py

@@ -18,8 +18,9 @@ def load_company_list(file_path='상장법인목록.xls'):
     return df['회사명'].dropna().tolist()
 
 # ✅ 요약용 KoBART
-summary_tokenizer = PreTrainedTokenizerFast.from_pretrained("gogamza/kobart-summarization")
-summary_model = BartForConditionalGeneration.from_pretrained("gogamza/kobart-summarization")
+SUMMARY_MODEL_ID = "ainize/kobart-news" # 👈 안정적인 KoBART 모델 ID 사용
+summary_tokenizer = PreTrainedTokenizerFast.from_pretrained(SUMMARY_MODEL_ID)
+summary_model = BartForConditionalGeneration.from_pretrained(SUMMARY_MODEL_ID)
 
 def summarize_kobart(text):
     input_ids = summary_tokenizer.encode(text, return_tensors="pt")