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Create app.py
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app.py
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from.transformers.import.pipeline
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import.gradio.as.gr
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model.=.pipeline("summarization")
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def.predict(prompt)
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....sumary.=.model(prompt)[0]["summaary_text"]
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....return.summary
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with.gr.Blocks().as.demo:
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....textbox.=.gr.Textbox(placeholder="Enter.text.block.to.summarize",.lines=4)
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....gr.interface(fn=predict, .inputs=textbox, .outputs="text")
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demo.launch()
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