Metadata-Version: 2.1
Name: Audiutor-PatBe
Version: 0.0.4
Summary: A simple Youtube video transcriber and summarizer
Home-page: https://github.com/pypa/sampleproject
Author: Patrizia Belik
Author-email: pbelik@unibz.it
License: MIT
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Keywords: Youtube transcriber
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE

#Audiutor

This project has been developed for the Computer Programming course at the University of Bolzano, Ed Faculty. 
It allows you to automatically transcribe and summarize a Youtube video in English using Watson IBM speech to text API. 

Youtube is full of interesting lectures and educational videos, but not everyone has time to watch them. This little program was developed with one goal in mind -- reduce time and allow students and working people to retrieve the information contained in such educational videos, faster. At the moment, the program is available for English videos only and it works with larger files as well.

Before running this program you will need to create your own Watson Speech to text API key and URL, it will literally take 2 minutes of your time. You can do so by (last update June 2021):

1. Registering for free here: https://cloud.ibm.com/registration

2. Creating your Watson Speech to text API key and URL. Just hit the CREATE button (in the right-hand corner below) on this page: https://cloud.ibm.com/catalog/services/speech-to-text'


Call the function:

- audiutor() to run the program 
- transcript_wordcloud() to create a wordcloud
- kws_extraction() to extract keywords

In order for the program to function correctly, please do not change the filenames.











