quickvid

quickvid

Your AI-Powered YouTube Video Summarization Tool

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QuickVid is an open-source video summarization tool that uses AI to generate summaries of YouTube videos. It is built with Whisper, GPT, LangChain, and Supabase. QuickVid can be used to save time and get the essence of any YouTube video with intelligent summarization.

README:

QuickVid

Your AI-Powered Video Summarization Tool

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Introduction · Installation · Tech Stack · Implementation · Contributing · Snapshots


Introduction

QuickVid is an open-sourced video summarization tool built with Whisper, GPT, LangChain & Supabase.

With QuickVid, you can save time and get the essence of any YouTube video with our intelligent summarization.

Installation

Local Installation

  1. Clone the Repository
    git clone https://github.com/metaloozee/quickvid
    cd quickvid
  2. Install Dependencies
    [pnpm | npm | yarn] install
  3. Set Environment Variables
    NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
    NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
    
    replace your_supabase_url and your_supabase_anon_key with the actual values of your Supabase project.
  4. Run the Application
    [pnpm | npm | yarn] run dev
    this will launch the application, and you can access it by visiting http://localhost:3000 in your web browser.

Docker Installation

  1. Clone the Repository
    git clone https://github.com/metaloozee/quickvid
    cd quickvid
  2. Set Environment Variables
    NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
    NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
    
    replace your_supabase_url and your_supabase_anon_key with the actual values of your Supabase project.
  3. Build the Docker Image
    docker build -t quickvid .
  4. Run the Docker Container
    docker run -p 3000:3000 --env-file .env.local quickvid
    this will launch the Next.js application inside the Docker container, and you can access it by visiting http://localhost:3000 in your web browser.

Tech Stack

Implementation

QuickVid is built as a standard Next.js application with the shadcn/ui template kit. The following technologies and services are used:

ytdl-core is used to download the YouTube video as an audio file.

Supabase Storage is used as an Amazon S3 alternative to store and serve the audio files generated by ytdl-core.

OpenAI's Whisper is used to perform speech-to-text operation on the particular audio file.

LangChain is used to process the transcript using its Summarization Chain which summarizes a document by dividing it into small chunks.

Contributing

We love our contributors! Here's how you can contribute:

  • Open an issue if you believe you've encountered a bug.
  • Make a pull request to add new features/make quality-of-life improvements/fix bugs.

Author

License:

QuickVid is open-sourced under the GNU General Public License Version 3 (GPLv3) or any later version. You can find it here

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