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  1. app.py +19 -0
  2. requirements.txt +2 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ task = 'summarization'
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+ model = 'sshleifer/distilbart-cnn-12-6'
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+
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+ get_completion = pipeline(task=task, model=model)
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+
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+ def summarize(input):
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+ output = get_completion(input)
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+ return output[0]['summary_text']
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+
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+ result = gr.Interface(fn=summarize,
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+ inputs=[gr.TextArea(label='Text to summerize:')],
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+ outputs=gr.TextArea(label='Summary'),
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+ title='Text summerization with distilbart-cnn',
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+ description="Summerize any text using `sshleifer/distilbart-cnn-12-6` model under the hood!"
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+ )
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+ result.launch(inline=False)
requirements.txt ADDED
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+ torch
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+ transformers