test

app.py

@@ -11,11 +11,11 @@ tokenizer = MBartTokenizer.from_pretrained(model_name, src_lang="ko_KR", tgt_lan
 
 # prefix = "translate English to German: "
 
-def summarization(model_name, text):
+def summarization(News, Summary):
     summarizer = pipeline("summarization", model=model, tokenizer=tokenizer)
     summarizer("An apple a day, keeps the doctor away", min_length=50, max_length=150)
 
-    for result in summarizer(text):
+    for result in summarizer(Summary):
         print(result)
     return result
 
@@ -26,8 +26,8 @@ if __name__ == '__main__':
         fn=summarization,
         inputs='text',
         outputs='text', 
-        title="News Summary Generator",
-        description="News Summary Generator"
+        title="한국어 뉴스 요약 생성기",
+        description="Korean News Summary Generator"
         )
     app.launch()