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import os
import gradio as gr
model_list = ['utrobinmv/t5_translate_en_ru_zh_large_1024_v2',
'utrobinmv/t5_translate_en_ru_zh_large_1024',
'utrobinmv/t5_translate_en_ru_zh_small_1024',
'utrobinmv/t5_translate_en_ru_zh_base_200',
'Helsinki-NLP/opus-mt-en-ru',
'Helsinki-NLP/opus-mt-en-zh',
'Helsinki-NLP/opus-mt-ru-en',
'Helsinki-NLP/opus-mt-zh-en',
'facebook/m2m100_1.2B',
'facebook/m2m100_418M',
'facebook/mbart-large-50-many-to-many-mmt',
'facebook/nllb-200-1.3B',
'facebook/nllb-200-3.3B',
'facebook/nllb-200-distilled-1.3B',
'facebook/nllb-200-distilled-600M',
'facebook/wmt19-en-ru',
'jbochi/madlad400-3b-mt',
'jbochi/madlad400-10b-mt',
'google/madlad400-3b-mt',
'google/madlad400-10b-mt',
'joefox/mbart-large-ru-zh-ru-many-to-many-mmt']
def load_csv():
filename = 'table.html'
with open(filename, 'r', encoding="utf-8-sig") as f:
return f.read()
return ''
iface = gr.Interface(
fn=load_csv,
inputs=None,
outputs="html",
title="NTREX dataset Benchmark!",
description="Benchmark translation to TREX dataset for ru, en, zh languages. Dataset: https://github.com/MicrosoftTranslator/NTREX",
live=True
)
iface.launch(share=False)
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