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on1onmangoes
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app.py
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app.py
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# For this demo we're using Gradio, Hugging Face Spaces, Pytorch and Hugging Face Transformers
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# OG from arijitdas123student
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import gradio as gr
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from gradio.mix import Parallel, Series
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# Summarizes Meeting Transcripts using Google Research's PEGASUS library
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summarizer = gr.Interface.load("huggingface/google/pegasus-cnn_dailymail")
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output_text = gr.outputs.Textbox()
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# Displays the end results to a webpage (i.e. here HuggingFace Spaces)
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Series(summarizer, inputs = gr.inputs.Textbox(lines=10, label="Meeting Transcript")).launch()
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