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Video-Summarization-Using-Transformer

This project aims to provide a solution for video summarization using Natural Language Processing (NLP) techniques. The project utilizes popular libraries such as youtube_dl, transformer, and moviepy to download videos, extract key information, and generate a summarized version of the video.

Requirements

  • Python 3.6 or higher
  • youtube_dl library
  • transformer library
  • moviepy library

Installation

  1. Clone the project repository:
git clone https://github.com/Pragyan02/Video-Summarization-Using-Transformer.git
  1. Install the required libraries using pip:
pip install requirements.txt

Usage

  1. Obtain the YouTube video URL.

  2. Run the video_summarization.py script:

python video_summarization.py --video_url <url> --output_path <path for output file> --keep_original_file <True or False>

Replace <video_url> with the URL of the YouTube video.

  1. The script will download the video and extract the subtitle text. Then, it will perform extractive summarization using the transformer-based model.

  2. After the summarization process completes, a summarized version of the video will be generated using moviepy. The output video will be saved in the project directory.

Acknowledgments

  • The youtube_dl library is used for downloading the YouTube video. For more information about the library, visit: https://github.com/ytdl-org/youtube-dl

  • The transformer library is used for extractive summarization. It provides pre-trained transformer models for natural language processing tasks. For more information about the library, visit: https://github.com/huggingface/transformers

  • The moviepy library is used for video editing and generating the summarized version of the video. For more information about the library, visit: https://github.com/Zulko/moviepy

License

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