update app.py

app.py

@@ -1,9 +1,9 @@
 from transformers import PegasusForConditionalGeneration, PegasusTokenizer
 import gradio as gr
 
-model_name = "ailm/pegasus-samsum-model"
+model_name = "ailm/pegsus-text-summarization"
 model = PegasusForConditionalGeneration.from_pretrained(model_name)
-tokenizer = PegasusTokenizer.from_pretrained(f"{model_name}/tokenizer")
+tokenizer = PegasusTokenizer.from_pretrained(model_name)
 
 def summarize(text):
     tokens = tokenizer(text, truncation=True, padding="longest", return_tensors="pt")