mohelwah/multiModels

1import gradio as gr2 3 4from transformers.utils import logging5loggging.set_verbosity_error()6 7 8from transformers import pipeline9import torch 10 11translator = pipeline(task='translation', 12                     model='facebook/nllb-200-distilled-600M',13                         torch.dtype=torch.bfloat16)14 15 16def translate(text):17    translated_text = translator(text. src_lang='eng_Latn', tgt_lang='fra_Latn')18    return translated_text19 20demo = gr.Interface(fn=greet, inputs="text", outputs="text")21demo.launch()22