Metadata-Version: 2.1
Name: t5-podcast-summariser
Version: 0.0.3
Summary: Podcast Transcript Summarisation
Home-page: UNKNOWN
Author: Paul Owoicho
Author-email: paulowoicho@gmail.com
License: UNKNOWN
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
        
         - To learn more about T5, read [this blog post](https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html)
         - To learn more about the Dataset, read its [paper](https://arxiv.org/abs/2004.04270)
        
        # Usage
        
        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)
            print(summary)
            
        Below is a sample summary generated on a podcast transcript available [here]([https://storycorps.org/podcast/storycorps-466-callings/](https://storycorps.org/podcast/storycorps-466-callings/)):
        
            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!
        
         
        
        
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
