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Update app.py
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app.py
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@@ -5,9 +5,13 @@ from transformers import pipeline
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translater = pipeline("translation", model="VietAI/envit5-translation")
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def translate(inp):
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res = translater(
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text,
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max_length=512,
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@@ -15,23 +19,34 @@ def translate(inp):
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)[0]['translation_text'][3:]
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return res
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translater = pipeline("translation", model="VietAI/envit5-translation")
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def translate(inp, direction):
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if direction == 'en->vi':
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text = "en: " + inp
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else:
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text = "vi: " + inp
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res = translater(
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text,
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max_length=512,
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)[0]['translation_text'][3:]
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return res
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description = """
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<p>
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<center>
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Multi-domain Translation Between English and Vietnamese
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</center>
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</p>
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"""
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article = "<p style='text-align: center'><a href='http://translate.vietai.org' target='_blank'>by VietAI Research</a> | <a href='https://github.com/vietai/mTet' target='_blank'>Github</a> | Contact: <a href='mailto:heraclex12@gmail.com' target='_blank'>Hieu Tran</a></p></center></p>"
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examples = [
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["Dear God, thank you for granting us the evergreen garden of this world", "en->vi"],
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["Thuốc này đã bị cấm sử dụng trong ngành thú y tại Ấn Độ.", "vi->en"]
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]
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iface = gr.Interface(
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fn=translate,
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title="🌸MTet Translation🌸",
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description=description,
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article=article,
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examples=examples,
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inputs=[
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gr.inputs.Textbox(lines=5, placeholder="Enter text (maximum 5 lines)", label="Input"),
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gr.inputs.Radio(
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choices=[
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'en->vi',
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'vi->en'],
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default='en->vi',
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label='Direction'),
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],
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outputs="text")
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iface.launch(enable_queue=True)
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