Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import transformers;
+import transformers
 
 encoder_model_name = "cl-tohoku/bert-base-japanese-v2"
 decoder_model_name = "skt/kogpt2-base-v2"
@@ -7,6 +7,7 @@ src_tokenizer = transformers.BertJapaneseTokenizer.from_pretrained(encoder_model
 trg_tokenizer = transformers.PreTrainedTokenizerFast.from_pretrained(decoder_model_name)
 model = transformers.EncoderDecoderModel.from_pretrained("sappho192/ffxiv-ja-ko-translator")
 
+
 def translate(text_src):
     embeddings = src_tokenizer(text_src, return_attention_mask=False, return_token_type_ids=False, return_tensors='pt')
     embeddings = {k: v for k, v in embeddings.items()}
@@ -14,9 +15,11 @@ def translate(text_src):
     text_trg = trg_tokenizer.decode(output.cpu())
     return text_trg
 
+
 def endpoint(sentence):
     return translate(sentence)
 
+
 # demo = gr.Interface(fn=endpoint, inputs="text", outputs="text")
 with gr.Blocks() as demo:
     input = gr.Textbox(label="Sentence")
@@ -42,4 +45,4 @@ with gr.Blocks() as demo:
     )
     
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()