Update app.py

app.py

@@ -1,18 +1,12 @@
 from transformers import LEDTokenizer, LEDForConditionalGeneration
 import torch
 import re
-tokenizer = LEDTokenizer.from_pretrained("patrickvonplaten/led-large-16384-pubmed")
-model = LEDForConditionalGeneration.from_pretrained("patrickvonplaten/led-large-16384-pubmed").to("cuda").half()
-
 import gradio as gr
 import os
 import docx2txt
 
-
 tokenizer = LEDTokenizer.from_pretrained("patrickvonplaten/led-large-16384-pubmed")
-model = LEDForConditionalGeneration.from_pretrained("patrickvonplaten/led-large-16384-pubmed", return_dict_in_generate=True).to("cuda")
-
-
+model = LEDForConditionalGeneration.from_pretrained("patrickvonplaten/led-large-16384-pubmed").to("cuda").half()
 
 def summarize(text_file):
     file_extension = os.path.splitext(text_file.name)[1]