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Text-Summarization-1

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Jaehan commited on Jun 24, 2023

Commit

eddb472

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1 Parent(s): 097e26e

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -3,7 +3,7 @@ import gradio as grad
 model_name="google/pegasus-xsum"
 pega_tokenizer = PegasusTokenizer.from_pretrained(model_name)
-model = PegasusForConditionalGeneration.from_prtrained(model_name)
 def summarize(text):
   tokens = pega_tokenizer(text, truncation=True, padding="longest", return_tensors="pt")

 model_name="google/pegasus-xsum"
 pega_tokenizer = PegasusTokenizer.from_pretrained(model_name)
+model = PegasusForConditionalGeneration.from_pretrained(model_name)
 def summarize(text):
   tokens = pega_tokenizer(text, truncation=True, padding="longest", return_tensors="pt")