---
title: OPIT
emoji: 🏃
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 4.7.1
app_file: app.py
pinned: false
license: wtfpl
---

# OPIT

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.

## How It Works

1. The app extracts the abstract from a PDF document.
2. It then uses the BART model for summarization.
3. The summarized text is converted into speech using the Bark model.
4. Users can play the generated audio directly in the Space.

## Dependencies

- transformers
- torch
- scipy
- numpy
- gradio
- fitz
- PyMuPDF

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.