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Update app.py
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app.py
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@@ -12,12 +12,6 @@ Slovenian (sl), Somali (so), Albanian (sq), Serbian (sr), Swati (ss), Sundanese
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Turkish (tr), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Wolof (wo), Xhosa (xh), Yiddish (yi), Yoruba (yo), Chinese (zh), Zulu (zu)"""
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lang_list = [lang.strip() for lang in langs.split(',')]
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model = M2M100ForConditionalGeneration.from_pretrained("alirezamsh/small100")
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tokenizer = SMALL100Tokenizer.from_pretrained("alirezamsh/small100")
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description = """This is an official demo for the paper [*SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages*](https://arxiv.org/abs/2210.11621) by Alireza Mohammadshahi, Vassilina Nikoulina, Alexandre Berard, Caroline Brun, James Henderson, Laurent Besacier
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In this paper, they propose a compact and shallow massively multilingual MT model, and achieve competitive results with M2M-100, while being super smaller and faster. More details are provided [here](https://huggingface.co/alirezamsh/small100). Currently running on 2 vCPU - 16GB RAM."""
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def small100_tr(lang, text):
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Turkish (tr), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Wolof (wo), Xhosa (xh), Yiddish (yi), Yoruba (yo), Chinese (zh), Zulu (zu)"""
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lang_list = [lang.strip() for lang in langs.split(',')]
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def small100_tr(lang, text):
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