TubeScan: Rapid Info Retrieval

Overview

This project is a Node.js application designed to interact with YouTube videos, providing users with the ability to ask questions about the content of a video and receive answers generated by an AI model. The application leverages advanced natural language processing techniques to understand and respond to user queries, making it a powerful tool for video analysis and content exploration.

Features

• Video Transcript Retrieval: The application can fetch the transcript of a YouTube video, enabling it to understand the content of the video.
• Embedding Generation: It generates embeddings from the video transcript, which are used to represent the video content in a format that can be processed by the AI model.
• AI-Generated Responses: Users can ask questions about the video, and the application will generate responses based on the video's content.
• User Interaction: The application supports interactive user input, allowing users to ask questions and receive responses in real-time.

Getting Started

Prerequisites

• Node.js (v14.0.0 or later)
• npm (v6.0.0 or later)
• An OpenAI API Key

Installation

1. Clone the repository:

   git clone https://github.com/afshinjal/tubescan.git
   

2. Navigate to the project directory:

   cd tubescan
   

3. Install dependencies:

   npm install
   

4. Create .env file

   cp .env.samle .env
   

5. Set your own OpenAI API key.

Running the Application

To start the application, run the following command in the terminal:

npm start

The application will prompt you to enter a YouTube video URL. After adding a video, you can ask questions about the video, and the application will provide answers based on the video's content.

Usage

After starting the application, follow the on-screen prompts to add a YouTube video and ask questions about it. The application will process your questions and generate responses based on the video's content.

Contributing

Contributions are welcome! Please feel free to submit a pull request or open an issue if you find a bug or have a feature request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or need further assistance, please contact the project maintainer at afshnjalili@gmail.com.