Update app.py

app.py

@@ -1,15 +1,13 @@
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import gradio as gr
-checkpoint = "Mr-Vicky-01/Fine_tune_english_to_tamil"
+checkpoint = "Mr-Vicky-01/English-Tamil-Translator"
+tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
 
 def language_translator(text):
-    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
-    model = AutoModelForSeq2SeqLM.from_pretrained("finetune-EN-to-Ta/")
-    # model = AutoModelForSeq2SeqLM.from_pretrained("finetune-EN-to-Ta/")
     tokenized = tokenizer([text], return_tensors='pt')
     out = model.generate(**tokenized, max_length=128)
-    with tokenizer.as_target_tokenizer():
-        return tokenizer.decode(out[0],skip_special_tokens=True)
+    return tokenizer.decode(out[0],skip_special_tokens=True)
         
 # examples = [
 #     ["how are you today?"],