SparkVidz

SparkVidz: Instant AI-Powered Summaries for Time-Saving Playback!

Important: How to Set Up and Run the Extension

This section guides you through setting up and running the SparkVidz Chrome extension. For a comprehensive walkthrough, refer to this article.

Create Your Extension Files

1. Create a new folder for your Extension.
2. Download or clone the pyscript-local-runtime repository into your new folder.
3. Add your Python code between the <py-script> tags and/or <py-repl> in popup.html.
4. Modify the <title> in popup.html and adjust the name and/or description in manifest.json as needed.
5. If desired, add custom icons to the /icons directory and modify the default icon names in manifest.json.

Note: The pyscript-local-runtime repository uses PyScript v0.21.3. If you wish to utilize a newer version, you can modify the helper scripts runtime/setup.sh (for Linux/Posix) or runtime/setup.py (for Windows). With PyScript and Pyodide continually evolving, consider checking out recent tutorials to keep updated with their capabilities and syntax/structure.

Load Your Extension into Chrome

1. Enter chrome://extensions in the Chrome address bar.
2. Toggle the "Developer Mode" switch to ON (located at the top right of the page).
3. Click "Load unpacked" and select your extension folder.
4. You'll now see your extension listed.
5. Click on the Extensions (“jigsaw”) icon in the top right of the browser and pin your Extension to the Extensions Launcher.
6. To execute Python in the browser, simply click on your Extension icon!

This guide fills a knowledge gap on this topic online, sparing developers the extensive trial-and-error process of setting up basic Chrome extensions with Python. Dive straight into experimenting with PyScript and understand the potential within the realm of browser extensions.

Feel inspired? Showcase your extensions in the comments section of the mentioned article. And don't forget to star the repository—it's a much-appreciated gesture.

Happy Coding!

Table of Contents

• Overview
• Features
• Installation
• Usage
• Development Information
  • Dependencies
• Contributing
• License
• Credits
• Contact

Overview

SparkVidz transforms long-form videos into structured chapter summaries. Leveraging AI, it intelligently categorizes video content into distinct subtopics, complete with timestamps. This enables users to navigate swiftly to the pivotal moments or topics of interest, ensuring they extract the most value in the least time.

Features

• AI-Powered Summarization: [Details or further elaboration on this feature]
• Structured Chapter Breakdown: [Details or further elaboration on this feature]
• [Other feature]: [Details or further elaboration]

Installation

Instructions on how to install the SparkVidz extension or software.

1. [Step 1]
2. [Step 2]
3. ...

Usage

Guidance on how to use the SparkVidz tool once installed.

1. [Usage Step 1]
2. [Usage Step 2]
3. ...

Development Information

Dependencies

• Pyscript for Python in Chrome extension
• [Other Dependency]

Contributing

Details on how others can contribute to the SparkVidz project. Typically, you'd explain steps to fork the repo, make changes, and submit a pull request.

License

Information about the licensing of the project. If you're using a standard license, like the MIT License, you'd mention it here.

Credits

Acknowledgments for authors, contributors, and any third-party resources used in the project.

Contact

Information on how to contact the maintainers or contributors of the SparkVidz project.