Update app.py

app.py

@@ -25,7 +25,7 @@ device = 'cuda' if cuda.is_available() else 'cpu'
 
 def clean_text(link,start,end):
   
-  tokenizer = AutoTokenizer.from_pretrained("t5-base")
+  tokenizer = AutoTokenizer.from_pretrained("CareerNinja/t5_large_1e-4_on_V3dataset")
   sym_spell = SymSpell(max_dictionary_edit_distance=2, prefix_length=7)
   dictionary_path = pkg_resources.resource_filename(
       "symspellpy", "frequency_dictionary_en_82_765.txt"
@@ -202,8 +202,8 @@ def clean_text(link,start,end):
 def t5_summarizer(link,start, end):
     input_text = clean_text(link,start,end)
     lst_outputs = []
-    tokenizer1 = AutoTokenizer.from_pretrained("CareerNinja/t5_large_3_1_3e_4_v3_dataset")
-    model1 = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/t5_large_3_1_3e_4_v3_dataset")
+    tokenizer1 = AutoTokenizer.from_pretrained("CareerNinja/t5_large_1e-4_on_V3dataset")
+    model1 = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/t5_large_1e-4_on_V3dataset")
     summarizer1 = pipeline("summarization", model=model1, tokenizer=tokenizer1)
     print(f""" Entered summarizer ! """)
     st.write('Below is the summary of the given URL: ')