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Podcast Transcript Summarisation

Project description

T5 Podcast Summariser

The aim of this project is to demonstrate the capabilities of Google's T5 model that has been fine-tuned on Spotify's Podcasts Dataset for automatic podcast summarisation. Simply pass in a podcast's transcript as input to the summariser, and it would output a summary containing the gist of what the podcast is about.

T5 and Spotify Podcast Dataset


This package relies on the HuggingFace NLP Library to work so you would have to install it too:

pip install transformers
pip install t5-podcast-summariser

You can now use the package as follows:

from t5_podcast_summariser import Summariser
summariser =  Summariser()

transcript = """
Full Transcript of the podcast.....

summary = summariser.summarise(transcript)

Below is a sample summary generated on a podcast transcript available here:

This week on the podcast, we talk to Ayodeji Ogunnia (@Ayodeji_Ogunnia) about his life as a bricklayer in Baltimore. We also hear from one of the most famous people in the world, and how he came to be a successful bricklayer. This is a great story for anyone who wants to learn more about what it means to be a good bricklayer. If you like what we do, please leave us a review on Apple Podcasts! Thanks for listening!

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t5_podcast_summariser-0.0.1.tar.gz (2.4 kB view hashes)

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