Create app.py

app.py

@@ -0,0 +1,19 @@
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import gradio as gr
+
+
+
+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."],
+]
+
+demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='English to Tamil Translator',examples=examples)
+demo.launch(debug=True,share=True)