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