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Update app.py
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app.py
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@@ -1,11 +1,51 @@
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from transformers import pipeline
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import gradio as grad
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model_name = "Helsinki-NLP/opus-mt-en-de"
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opus_translator = pipeline("translation", model=model_name)
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def translate(text):
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response = opus_translator(text)
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return response
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# from transformers import pipeline
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# import gradio as grad
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# model_name = "Helsinki-NLP/opus-mt-en-de"
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# opus_translator = pipeline("translation", model=model_name)
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# def translate(text):
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# response = opus_translator(text)
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# return response
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# grad.Interface(translate, inputs=["text",], outputs="text").launch()
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#Please make sure you have `sentencepiece` installed in order to use this tokenizer.
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from transformers import pipeline
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import gradio as grad
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model_name = "Helsinki-NLP/opus-mt-en-de"
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opus_translator = pipeline("translation", model=model_name)
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def translate(text):
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response = opus_translator(text)
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return response[0]['translation_text']
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iface = grad.Interface(
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fn=translate,
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inputs=[
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grad.Textbox(
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placeholder="Enter the text in English...",
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label="English Text",
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lines=5
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)
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],
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outputs=grad.Textbox(label="German Translation"),
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live=True,
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title="English to German Translator",
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description="Type in English and get the translation in German instantly!",
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examples=[
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["Hello, how are you?"],
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["The weather is nice today."],
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["Gradio is great for creating interfaces."]
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],
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theme="dark", # Use a dark theme for the interface
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layout="horizontal", # Use a horizontal layout
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allow_flagging="never", # Disable the flagging option
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css="""
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.interface { max-width: 800px; margin: auto; }
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.input_textbox { font-size: 16px; }
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.output_textbox { font-size: 16px; }
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"""
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)
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iface.launch()
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