abidlabs HF staff commited on
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5fc738a
1 Parent(s): 99db219

Create app.py

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  1. app.py +20 -0
app.py ADDED
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+ import gradio as gr
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+
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+ from transformers import pipeline
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+
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+ pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
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+
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+ def predict(text):
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+ return pipe(text)[0]["translation_text"]
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+
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+ title = "English to French Translation"
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+
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+ iface = gr.Interface(
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+ fn=predict,
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+ inputs=[gr.inputs.Textbox(label="text", lines=3)],
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+ outputs='text',
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+ title=title,
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+ examples=[["Hello! My name is Abubakar"], ["How are you?"]]
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+ )
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+
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+ iface.launch()