Create 12

12

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import PreTrainedTokenizerFast, BartForConditionalGeneration
+
+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, # BOS는 Beginning of Sentence
+      eos_token_id=model.config.eos_token_id, # EOS는 End of Sentence
+      length_penalty=2.0,  # 요약을 얼마나 짧게 할지
+      max_length=142,  
+      min_length=56,
+      num_beams=4,  # beam search
+      )
+  return tokenizer.decode(summary_text_ids[0], skip_special_tokens=True)
+
+interface = gr.interface(summ, [gr.Textbox(label="original_text")], [gr.Textbox(label="summary")])
+interface.launch()