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app.py
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from transformers import pipeline
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import torch
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# Translator function
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translator = pipeline(task="translation",
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model="facebook/nllb-200-1.3B",
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torch_dtype=torch.bfloat16)
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import gradio as gr
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def translate(input):
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output = translator(input,
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src_lang="fin_Latn",
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tgt_lang="eng_Latn")
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return output[0]['translation_text']
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gr.close_all()
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demo = gr.Interface(fn=translate,
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inputs=[gr.Textbox(label="Text to translate", lines=6)],
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outputs=[gr.Textbox(label="Result", lines=3)],
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title="Text translation with nllb-200-1.3B",
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description="Translate Finnish text using the `facebook/nllb-200-1.3B` model under the hood!"
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)
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demo.launch()
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