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Create app.py
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app.py
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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import gradio as gr
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pipe = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
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def summarize(input):
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output = pipe(input)
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return output
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gr.close_all()
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demo = gr.Interface(fn=summarize, inputs="text", outputs="text")
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demo.launch(share=True, server_port=int(os.environ['PORT1']))
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