Skip to content

Tomtunn/Youtube_Digest

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Youtube Summariser

This project is a gradio based web application that takes a youtube video link as input and returns a summary of the video. The summary is generated using the bart_large_cnn model.

Embedding/Tokenization

The transcript of the video are fetch from the youtube_transcript_api, the transcript is recursively split, embedded in encoder-decoder model (bart_large_cnn) to generate the summary and concatenated until the the length of the length is less than 1024. Then final summary is then returned to the user.

drawing

Installation

git clone https://github.com/Tomtunn/Youtube_Digest.git
cd Youtube_Digest
pip install -r requirements.txt

To run the demo

garadio app.py

or using google colab --> Open in colab

About

YOUTUBE video summarizer using LLM

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published