Update README.md

README.md

@@ -21,7 +21,9 @@ cache_dir = "./hugging_face"
 gentle_model_path='9unu/gentle_speech_translation'
 gentle_model = T5ForConditionalGeneration.from_pretrained(gentle_model_path, cache_dir=cache_dir)
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+```
 
+```python
 # transformers 파이프라인 생성
 gentle_pipeline = pipeline(model = gentle_model, tokenizer = tokenizer, device = device, max_length=60)
 
@@ -31,7 +33,6 @@ num_return_sequences = 1
 max_length = 60
 out = gentle_pipeline(text, num_return_sequences = num_return_sequences, max_length=max_length)
 print([x['generated_text'] for x in out])
-
 ```
 
 ## License