Update README.md

README.md

@@ -23,7 +23,7 @@ model = BartForConditionalGeneration.from_pretrained('gogamza/kobart-summarizati
 text = "과거를 떠올려보자. 방송을 보던 우리의 모습을..."
 
 raw_input_ids = tokenizer.encode(text)
-input_ids = [tokenizer.bos_token_id] + \
+input_ids = [tokenizer.bos_token_id] + \\
     raw_input_ids + [tokenizer.eos_token_id]
 summary_ids = model.generate(torch.tensor([input_ids]),
                                 max_length=150,
@@ -34,11 +34,7 @@ summary_ids = model.generate(torch.tensor([input_ids]),
 summ_text = tokenizer.batch_decode(summary_ids.tolist(), skip_special_tokens=True)[0]
 ```
 
-## Demo
 
-- [요약 데모](http://52.231.69.211:8081/)
-
-![](summ.png)