Build A Chrome Extension That Summarises Youtube Videos | Under An Hour Projects with Aryen!

Aryen introduces a Chrome extension called 'YouTube Summarizer' that condenses the content of YouTube videos into concise summaries. Using Python, Flask, and the Hugging Face Transformers library, the extension leverages a summarization API to provide a brief overview of a video's transcript, saving viewers time. The tutorial covers the extension's design with HTML and JavaScript, the creation of the summarization API, and the integration with the YouTube Transcript API. Aryen demonstrates the extension's functionality and guides viewers on how to install it on Chrome, encouraging them to explore and create their own extensions.

Takeaways

• 😀 Aryan introduces a project called 'YouTube Summarizer', a Chrome extension that summarizes YouTube videos.
• 🔍 The extension allows users to get a summarized version of a video's content without watching the entire video.
• 🛠️ The project uses Flask to create an API for summarization, HTML and JavaScript for the Chrome extension, and the Hugging Face Transformers library for the summarization model.
• 📚 The YouTube Transcript API is utilized to extract transcripts from YouTube videos for summarization.
• 🔗 The Chrome extension communicates with the Python API to fetch and display the summarized text.
• 💻 The API is structured with Flask, where app.py handles the summarization requests and returns the summarized text.
• 📝 The 'get_transcript' function extracts the full transcript from a YouTube video, and the 'get_summary' function processes it using the summarization model.
• 📈 The summarization model can only handle text up to 1000 characters, so longer transcripts are divided into smaller parts for processing.
• 📑 The 'popup.html' and 'popup.js' files define the user interface and logic of the Chrome extension, respectively.
• 🔧 The manifest.json file is required by Chrome and contains metadata about the extension, such as its title, description, and permissions.
• 🚀 To install the extension, enable Developer Mode in Chrome, load the unpacked extension folder, and enable it from the Extensions page.

Q & A

What is the main purpose of the YouTube Summarizer Chrome extension?

The main purpose of the YouTube Summarizer Chrome extension is to summarize YouTube videos in a few lines, so users don't have to watch the entire video.

What technologies are used to create the YouTube Summarizer extension?

The extension is created using Python, Flask, HTML, JavaScript, and Hugging Face Transformers library. The API for summarization is built with Flask and uses the Hugging Face Transformers for the summarization model.

How does the YouTube Summarizer extension work?

The extension extracts the transcript from a YouTube video using the YouTube Transcript API, then sends it to a Flask API which uses the Hugging Face Transformers library to summarize the text. The summarized text is then displayed in the Chrome extension.

What is the role of the `app.py` file in this project?

The `app.py` file contains the Flask API that handles the summarization of the YouTube video transcript. It includes routes to process the transcript and return the summarized text.

What are the key components of the Chrome extension folder?

The key components of the Chrome extension folder are `manifest.json`, `popup.html`, `popup.js`, and the icon file. `manifest.json` contains the metadata for the extension, `popup.html` defines the layout, and `popup.js` contains the logic for the extension.

What is the function of `manifest.json` in the Chrome extension?

The `manifest.json` file is required by Chrome to provide metadata about the extension, such as its title, description, permissions, and other configurations necessary for its operation.

How does the Flask API process the transcript of a YouTube video?

The Flask API extracts the video ID from the provided YouTube URL, retrieves the transcript using the YouTube Transcript API, and then uses the Hugging Face Transformers summarization model to summarize the transcript.

Why does the summarization model handle text in parts of 1000 characters?

The summarization model handles text in parts of 1000 characters because the Hugging Face Transformers summarization model has a limitation that it can only process text up to 1000 characters at a time.

What steps are involved in adding the custom Chrome extension to your browser?

To add the custom Chrome extension, you need to enable Developer Mode in Chrome, click 'Load unpacked,' select the extension folder, and ensure the extension is enabled in the Chrome extensions list.

How does the `popup.js` file contribute to the functionality of the extension?

The `popup.js` file contains the JavaScript code that handles user interactions with the extension. It listens for button clicks, sends HTTP requests to the Flask API, and updates the UI with the summarized text.

Outlines

00:00

📚 Introduction to YouTube Summarizer Chrome Extension

Aryan introduces a project called 'YouTube Summarizer,' a Chrome extension designed to provide summaries of YouTube videos. The extension allows users to access a condensed version of a video's content without watching the entire video. A demonstration is given using a Steve Jobs' Stanford speech video, showcasing the summarization feature. The extension's design is customizable, and the video's purpose is to demonstrate the capabilities of Python for creating such a tool. The project involves an API for summarization, created with Flask, and utilizes the 'hugging face transformers' library for the summarization model, along with the YouTube Transcript API for extracting video transcripts.

05:02

🤖 Backend Setup with Flask and Transformers

The video script explains the backend setup of the YouTube Summarizer project. It involves creating an API using Flask, a popular Python library for building APIs and web applications. The API is responsible for summarizing text provided to it. The script details the process of setting up the Flask app, importing necessary libraries, and defining a summary API endpoint. It also covers how to extract the video ID from a YouTube URL and how to use the YouTube Transcript API to get the video's transcript. The summarization process uses a pre-trained model from the 'hugging face transformers' library, which is then summarized and returned to the Chrome extension.

10:04

🔍 Frontend Development of the Chrome Extension

The script moves on to the frontend development of the Chrome extension, which includes creating the extension's user interface in 'popup.html'. It describes the structure of the extension's folder, the necessary files like 'manifest.json', and the design elements such as the extension's icon and layout. The 'popup.html' file contains the title, a summarize button, and an output paragraph where the summarized text will be displayed. The script explains the importance of the 'manifest.json' file for Chrome's security requirements and the role of 'popup.js' in defining the extension's logic.

15:07

🛠️ Implementing the Extension's Logic with JavaScript

The fourth paragraph delves into the logic of the Chrome extension, which is scripted in 'popup.js'. It explains how to create a button constant, add an event listener for the summarize button, and handle the button's click event. The script covers how to disable the button during summarization, get the current YouTube video's URL, and make an HTTP GET request to the Flask API to retrieve the summary. It also details how to display the summary in the extension's popup window and reset the button to its original state once the summarization is complete.

20:09

🔗 Connecting the Backend API with the Chrome Extension

This section of the script explains how to connect the backend API with the Chrome extension. It describes the process of sending an HTTP GET request from the extension to the local server running the Flask API. The request includes the YouTube video URL as an argument, and upon receiving the response, the extension displays the summary in the popup window. The script also covers how to enable the button again and reset the UI elements after the summarization process.

25:10

🚀 Loading the YouTube Summarizer Extension into Chrome

The final paragraph provides instructions on how to load the custom YouTube Summarizer extension into Chrome. It involves enabling developer mode in Chrome, clicking on 'Load unpacked', and selecting the extension's folder. The script emphasizes ensuring that the extension is enabled and demonstrates how to use the extension by navigating to a YouTube video, clicking on the extension icon, and summarizing the video's content.

Keywords

💡Chrome Extension

A Chrome Extension is a software component that adds functionality to the Google Chrome web browser. In the video, the creator Aryan introduces 'YouTube Summarizer,' a Chrome Extension that allows users to summarize the content of YouTube videos into a few lines, enhancing the browsing experience by saving time and effort. An example from the script is Aryan's demonstration where he uses the extension to summarize a video of Steve Jobs' speech at Stanford.

💡Summarize

To summarize means to provide a brief statement or account of the main points of something, such as a text, video, or speech. In the context of the video, summarizing refers to the process by which the 'YouTube Summarizer' Chrome Extension condenses lengthy video content into a shorter, more digestible format. Aryan demonstrates this by clicking the 'summarize' button on the extension, which then returns a summary of the video's transcript.

💡API (Application Programming Interface)

An API is a set of rules and protocols that allows different software applications to communicate with each other. In the video, Aryan mentions creating a 'summarizer API' in Python, which is used by the Chrome Extension to fetch and process the summaries. The API is integral to the project as it handles the backend logic for summarizing the text extracted from YouTube video transcripts.

💡Flask

Flask is a lightweight web framework written in Python that is used to create web applications and APIs. Aryan uses Flask in the project to build the summarizer API, which is a crucial component for the Chrome Extension to function. Flask enables the development of the server-side application that processes requests and delivers summarized content back to the extension.

💡Hugging Face Transformers

Hugging Face Transformers is a library that provides pre-trained models for natural language processing tasks, including text summarization. In the script, Aryan mentions using this library to implement the summarization model for the API. It is a key technology that enables the conversion of lengthy transcripts into concise summaries.

💡YouTube Transcript API

The YouTube Transcript API is a service that allows developers to extract the text from YouTube video transcripts. Aryan uses this API in his project to obtain the textual content of YouTube videos, which is then fed into the summarization model to generate summaries. It plays a critical role in the workflow by providing the source material for summarization.

💡HTML

HTML, or HyperText Markup Language, is the standard language used for creating and designing web pages. In the context of the video, HTML is used to create the user interface for the Chrome Extension, including the popup window that appears when the extension is clicked. Aryan refers to 'popup.html' as part of the extension's files, which contains the HTML code for this interface.

💡JavaScript

JavaScript is a programming language that enables interactive web pages and is an essential part of web applications. In the video, JavaScript is used to add functionality to the Chrome Extension. Aryan discusses 'popup.js', which contains the JavaScript code that defines the behavior of the extension, such as handling button clicks and displaying the summary.

💡Manifest File (manifest.json)

A manifest file, specifically 'manifest.json', is a configuration file used by web applications and browser extensions to define their properties and capabilities. Aryan mentions this file as a requirement for Chrome Extensions, which includes information like the extension's name, description, version, and permissions. It is crucial for the extension to be recognized and properly configured by the Chrome browser.

💡String Slicing

String slicing is a programming concept where a part of a string can be extracted or 'sliced' to create a new, smaller string. In the script, Aryan uses string slicing in Python to handle the limitation of the summarization model, which can only process text up to 1000 characters. By slicing the transcript into smaller parts, he can summarize each segment individually before combining them into a full summary.

💡HTTP Request

An HTTP request is a message sent from a client to a server to request access to a resource. In the video, Aryan demonstrates making an HTTP GET request to the local server running the Flask API. This request is used to fetch the summary of the YouTube video transcript. The process involves sending the request to the server and then handling the response, which contains the summarized text.

Highlights

Introduction to the YouTube Summarizer project by Aryan.

YouTube Summarizer is a Chrome extension that summarizes YouTube videos.

The extension allows users to avoid watching the entire video for a quick summary.

A demo of the extension is provided with a Steve Jobs' Stanford speech video.

The extension summarizes the video, providing a 10% summary of the full transcript.

Users can customize the design and styling of the extension.

The project uses Python for creating the summarizer API.

HTML and JavaScript are used to create the Chrome extension.

The extension calls a Python API to get the summarized text.

Flask, a Python library, is used for creating the API.

The summarizer model is provided by the Hugging Face Transformers library.

The YouTube Transcript API is used to extract video transcripts.

The project structure includes app.py, extension folder, and other files.

The API is set up with Flask and includes a summary endpoint.

The extension uses chrome.tabs.query to get the current YouTube video URL.

XMLHttpRequest is used to make HTTP requests to the local server.

The extension displays the summary in a pop-up window.

Instructions on how to install the extension on Chrome are provided.

The extension is loaded in Chrome by enabling Developer Mode and loading the unpacked extension folder.

Once installed, the extension is ready to summarize YouTube videos.