Update app.py

app.py

@@ -1,20 +1,21 @@
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 import gradio as gr
+
 checkpoint = "Mr-Vicky-01/English-Tamil-Translator"
 tokenizer = AutoTokenizer.from_pretrained(checkpoint)
-model = AutoModelForSeq2SeqLM.from_pretrained(r"Finetuned_model/")
+model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
 
 def language_translator(text):
     tokenized = tokenizer([text], return_tensors='pt')
     out = model.generate(**tokenized, max_length=128)
     return tokenizer.decode(out[0],skip_special_tokens=True)
         
-# examples = [
-#     ["hello everyone"]
-#     ["hardwork never fails."],
-#     ["A room without books is like a body without a soul."],
-#     ["The Sun is approximately 4.6 billion years older than Earth."],
-# ]
+examples = [
+    ["hello everyone"]
+    ["hardwork never fails."],
+    ["A room without books is like a body without a soul."],
+    ["The Sun is approximately 4.6 billion years older than Earth."],
+]
 
-demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='English To Tamil Translator')  #examples=examples)
+demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='English To Tamil Translator', examples=examples)
 demo.launch(debug=True,share=True)