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import gradio as gr |
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import threading |
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from translation import Translator, LANGUAGES, MODEL_URL |
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translator = Translator() |
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lang_list = list(LANGUAGES.keys()) |
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@gr.cache |
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def translate(text, src, trg, **kwargs): |
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src_lang, tgt_lang = LANGUAGES.get(src), LANGUAGES.get(trg) |
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return translator.translate(text, src_lang, tgt_lang, **kwargs) |
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interface = gr.Interface( |
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fn=translate, |
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inputs=[ |
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gr.Textbox(label="Text", lines=2, description="Enter the text you want to translate."), |
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gr.Dropdown(lang_list, type="value", label='Source Language', value=lang_list[0], description="Select the language of the input text."), |
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gr.Dropdown(lang_list, type="value", label='Target Language', value=lang_list[1], description="Select the language you want to translate to."), |
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gr.Checkbox(label="By Sentence", value=True, description="Translate the text sentence by sentence."), |
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gr.Checkbox(label="Preprocess", value=True, description="Preprocess the text before translation."), |
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gr.Checkbox(label="Randomize", value=False, description="Randomize the translation output."), |
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gr.Slider(value=4, label="Number of Beams", minimum=1, maximum=5, step=1, description="Select the number of beams for the translation process.") |
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], |
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outputs="text", |
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title='Erzya-Russian Translation', |
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article=f"Model: https://huggingface.co/{MODEL_URL}" |
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) |
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if __name__ == '__main__': |
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threading.Thread(target=interface.launch, kwargs=dict(share=True, server_name="0.0.0.0", server_port=7860)).start() |
