| import streamlit as st | |
| from transformers import MBartForConditionalGeneration, MBart50TokenizerFast | |
| import sentencepiece | |
| text = st.text_area('Enter the text:') | |
| model = MBartForConditionalGenerationneration.from_pretrained("facebook/mbart-large-50-one-to-many-mmt") | |
| tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-one-to-many-mmt", src_large="en_XX") | |
| if text: | |
| model_inputs = tokenizer(text, return_tensors="pt") | |
| generated_tokens = model.generate( | |
| **model_inputs, | |
| forced_bos_token_id=tokenizer.lang_code_to_id["hi_IN"] | |
| ) | |
| translation = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True) | |
| st.json(translation) |