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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["ta_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() |