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Building
| 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) | |