Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("translation", model="
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def predict(text):
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return pipe(text)[0]["translation_text"]
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demo = gr.Interface(
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fn=predict,
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inputs='text',
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outputs='text',
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)
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demo.launch()
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from transformers import pipeline
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import gradio as gr
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pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
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demo = gr.Interface.from_pipeline(pipe)
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demo.launch()
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