Create app.py

app.py

@@ -0,0 +1,25 @@
+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()