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0bdc842
Update app.py
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app.py
CHANGED
@@ -17,7 +17,7 @@ tokenizer = SMALL100Tokenizer.from_pretrained("alirezamsh/small100")
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description = """This is a 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
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def small100_tr(lang, text):
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@@ -31,7 +31,7 @@ def small100_tr(lang, text):
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examples = [["French (fr)", "Life is like a box of chocolates."]]
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output_text = gr.outputs.Textbox()
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gr.Interface(small100_tr, inputs=[gr.inputs.Dropdown(lang_list, label=" Target Language"), 'text'], outputs=output_text, title="SMaLL100: Translate
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description=description,
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examples=examples
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).launch()
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description = """This is a 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)."""
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def small100_tr(lang, text):
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examples = [["French (fr)", "Life is like a box of chocolates."]]
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output_text = gr.outputs.Textbox()
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gr.Interface(small100_tr, inputs=[gr.inputs.Dropdown(lang_list, label=" Target Language"), 'text'], outputs=output_text, title="SMaLL100: Translate much faster between 100 languages",
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description=description,
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examples=examples
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).launch()
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