test

app.py

@@ -9,17 +9,13 @@ model_name = "momo/rsp-sum"
 model = MBartForConditionalGeneration.from_pretrained(model_name)
 tokenizer = MBartTokenizer.from_pretrained(model_name, src_lang="ko_KR", tgt_lang="ko_KR")
 
-# prefix = "translate English to German: "
-
 summarizer = pipeline("summarization", model=model, tokenizer=tokenizer)
 
-def summarization(News, Summary):
+def summarization(News):
     result = summarizer(News, min_length=50, max_length=150)
     return result["summary_text"]
 
 if __name__ == '__main__':
-
-    #Create a gradio app with a button that calls predict()
     app = gr.Interface(
         fn=summarization,
         inputs=gr.inputs.Textbox(lines=10, label="News"),