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("CareerNinja/t5-large_3e-4")
+tokenizer = AutoTokenizer.from_pretrained("CareerNinja/t5_large_3_1_3e_4_v3_dataset")
 os.makedirs('./transcripts/')
 
 def clean_text(link,start,end):
@@ -182,7 +182,7 @@ def clean_text(link,start,end):
 
 def t5_summarizer(link,start, end):
   input_text = clean_text(link,start,end)
-  model1 = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/t5-large_3e-4")
+  model1 = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/t5_large_3_1_3e_4_v3_dataset")
   summarizer1 = pipeline("summarization", model=model1, tokenizer=tokenizer)
   print(f""" Entered summarizer ! """)
   out = []