app.py

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["hi_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 Hindi Translator",description="Translate the text given in English to Hindi")  

iface.launch()