This project is a YouTube transcript summarizer built using Flask, the YouTube Transcript API, and Hugging Face Transformers. It fetches the transcript of a YouTube video and provides a concise summary of the content.
The YouTube Transcript Summarizer is designed to help users quickly understand the main points of lengthy YouTube videos by providing an automated summary of the video's transcript. This is particularly useful for educational content, lectures, and informational videos where key takeaways can save users time and enhance their learning experience.
- Transcript Retrieval: Utilizes the YouTube Transcript API to fetch transcripts of YouTube videos.
- Summarization: Employs Hugging Face Transformers to generate concise summaries from the fetched transcripts.
- Web Interface: Provides a simple web interface for users to input YouTube video URLs and view summaries.
- RESTful API: Offers an API endpoint for programmatic access to the summarization functionality.
- Open the web application: Navigate to the local address where the Flask server is running.
- Enter YouTube video URL: Input the URL of the YouTube video you wish to summarize.
- View the summary: The application will display the transcript and its summary on the web page.
- Flask: A lightweight WSGI web application framework in Python for building the web interface and API.
- YouTube Transcript API: A service for retrieving the transcript of a given YouTube video.
- Hugging Face Transformers: A library providing state-of-the-art natural language processing models for tasks such as summarization.
Contributions to the project are welcome. Whether it’s bug fixes, feature enhancements, or documentation improvements, feel free to fork the repository and submit a pull request with your changes.