Create app.py

app.py

@@ -0,0 +1,24 @@
+Import gradio as gr
+from transformers import PreTrainedTokenizerFast, BartForConditionalGeneration
+# from transformers import로 시작하는 import 문을 보면
+# 많은 경우 AutoTokenizer, AutoModel
+# tokenizer = AutoTokenizer.from_pretrained("model 이름 어쩌고 저쩌고")
+# BART는 encoder-decoder 모델의 예시
+
+model_name = "ainize/kobart-news"
+tokenizer = PreTrainedTokenizerFast.from_pretrained(model_name)
+model = BartForConditionalGeneration.from_pretrained(model_name)
+#def summ(txt):
+  input_ids=tokenizer.encode(txt, return_tensors="pt")
+  summary_text_ids=model.generate(
+      input_ids=input_ids,
+      bos_token_id=model.config.bos_token_id,
+      eos_token_id=model.config.eos_token_id,
+      length_penalty=2.0,
+      max_length=142
+      min_length=56,
+      num_beams=4)
+  return tokenizer.decode(summary_text_ids[0],skip_special_tokens=True)
+
+interface=gr.Interface(summ,[gr.Textbox(label="origina text")],[gr.Textbox(label="summary")])
+interface.launch()