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  license: wtfpl
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: wtfpl
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+ # OPIT
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+ This Gradio Space demonstrates a summarization and text-to-speech application. It extracts the abstract from a PDF, summarizes it, and then converts the summary into speech.
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+ ## How It Works
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+ 1. The app extracts the abstract from a PDF document.
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+ 2. It then uses the BART model for summarization.
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+ 3. The summarized text is converted into speech using the Bark model.
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+ 4. Users can play the generated audio directly in the Space.
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+ ## Dependencies
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+ - transformers
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+ - torch
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+ - scipy
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+ - numpy
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+ - gradio
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+ - fitz
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+ - PyMuPDF
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+ Make sure to check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference for more information on setting up and customizing your Space.