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Update app.py
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app.py
CHANGED
@@ -23,26 +23,22 @@ def translate_wrapper(text, src, trg, by_sentence=True, preprocess=True, random=
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article = """
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This is a NLLB-200-600M model fine-tuned for translation between
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using the data from https://tyvan.ru/.
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This model is described in https://cointegrated.medium.com/a37fc706b865.
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If you want to host in on your own backend, consider running this dockerized app: https://github.com/slone-nlp/nllb-docker-demo.
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"""
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interface = gr.Interface(
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translate_wrapper,
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[
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gr.Textbox(label="Text", lines=2, placeholder='text to translate '),
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gr.Dropdown(LANGUAGES_LIST, type="value", label='source language', value=LANGUAGES_LIST[
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gr.Dropdown(LANGUAGES_LIST, type="value", label='target language', value=LANGUAGES_LIST[
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gr.Checkbox(label="by sentence", value=True),
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gr.Checkbox(label="text preprocesing", value=True),
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gr.Checkbox(label="randomize", value=False),
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gr.Dropdown([1, 2, 3, 4, 5], label="number of beams", value=4),
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],
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"text",
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title='
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article=article,
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)
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article = """
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This is a NLLB-200-600M model fine-tuned for translation between Español and Rapa Nui languages"""
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interface = gr.Interface(
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translate_wrapper,
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[
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gr.Textbox(label="Text", lines=2, placeholder='text to translate '),
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gr.Dropdown(LANGUAGES_LIST, type="value", label='source language', value=LANGUAGES_LIST[1]),
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gr.Dropdown(LANGUAGES_LIST, type="value", label='target language', value=LANGUAGES_LIST[0]),
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gr.Checkbox(label="by sentence", value=True),
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gr.Checkbox(label="text preprocesing", value=True),
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gr.Checkbox(label="randomize", value=False),
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gr.Dropdown([1, 2, 3, 4, 5], label="number of beams", value=4),
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],
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"text",
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title='Español-RapaNui translaton',
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article=article,
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)
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