Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import MBartForConditionalGeneration, MBart50TokenizerFast,MBartTokenizerFast,MBart50Tokenizer
+
+
+from transformers import MBartTokenizer,MBartForConditionalGeneration, MBartConfig
+model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-one-to-many-mmt")
+tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-one-to-many-mmt",src_lang="en_XX")
+
+def get_input(text):
+  models_input = tokenizer(text,return_tensors="pt")
+  generated_tokens = model.generate(**models_input,forced_bos_token_id=tokenizer.lang_code_to_id["ml_IN"])
+  translation = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
+  return translation
+  
+iface = gr.Interface(fn=get_input,inputs="text",outputs="text", title = "English to Tamil Translator",description="Get Tamil translation for your text in English")  
+
+iface.launch(