Update app.py

app.py

@@ -20,7 +20,7 @@ import gradio as gr
 
 
 device = 'cuda' if cuda.is_available() else 'cpu'
-tokenizer = AutoTokenizer.from_pretrained("t5-base")
+tokenizer = AutoTokenizer.from_pretrained("CareerNinja/t5-large_3e-4")
 os.makedirs('./transcripts/')
 
 def clean_text(link,start,end):
@@ -182,9 +182,8 @@ def clean_text(link,start,end):
 
 def t5_summarizer(link,start, end):
   input_text = clean_text(link,start,end)
-  tokenizer1 = AutoTokenizer.from_pretrained("CareerNinja/t5-large_3e-4")
   model1 = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/t5-large_3e-4")
-  summarizer1 = pipeline("summarization", model=model1, tokenizer=tokenizer1)
+  summarizer1 = pipeline("summarization", model=model1, tokenizer=tokenizer)
   print(f""" Entered summarizer ! """)
   out = []
   for i in range(len(input_text)):