YouTube Video Summarizer 🎥

This is a simple Streamlit web app that allows you to summarize a YouTube video using the power of Llama 2 🦙, Haystack, and Streamlit. With this app, you can quickly generate a summary of your favorite YouTube videos in just a few clicks. It's designed to be user-friendly and fun to use.

Getting Started

To get started with the YouTube Video Summarizer, follow these steps:

1. Clone this repository to your local machine or download the code as a ZIP file.

2. Install the required Python packages. You can do this by running:

   pip install -r requirements.txt
   

3. Run the app:

   streamlit run app.py
   

4. Open your web browser and go to the URL provided by Streamlit (typically, it will be something like http://localhost:8501).

How to Use the App

1. Once the app is running, you will see a simple web page with a text input field and a "Submit" button.

2. Enter the YouTube URL of the video you want to summarize into the text input field.

3. Click the "Submit" button.

4. The app will download the video and start summarizing it.

5. You will see a video player displaying the YouTube video on the left side of the page, and the generated summary on the right side.

6. The summary will be displayed along with the time it took to generate it.

About the App

This app allows you to summarize while watching a YouTube video. It's built with the Llama 2 🦙, Haystack, Streamlit, and lots of ❤️ by boxed-dev.

Contributing

If you'd like to contribute to this project, please follow these guidelines:

• Fork the repository.

• Create a new branch with a descriptive name (e.g., feature/new-feature or bugfix/issue-description).

• Make your changes and ensure that the code is well-documented.

• Test your changes to ensure they work as expected.

• Create a pull request to the main branch of this repository.

• Provide a clear and concise description of your changes in the pull request.

Acknowledgments

• Streamlit - for making it easy to create beautiful web apps with simple Python scripts.
• Llama 2 - for powerful text generation capabilities.
• Haystack - for providing the infrastructure for building question-answering systems.

🚀 Happy summarizing! 🚀