WebTube Summarizer

Overview

WebTube Summarizer is a Python-based web application built with Streamlit to simplify the process of summarizing YouTube videos and website content. The app leverages Google Generative AI and other APIs to provide concise, easy-to-understand summaries. Additionally, it includes an image generation feature to enhance the understanding of content visually.

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Features

1. YouTube Video Summarizer

• Summarizes YouTube video transcripts into a brief, student-friendly format.
• Includes video title, key points, and emoji-enhanced summaries.
• Provides trusted image source suggestions to complement the summary.

2. Website Summarizer

• Extracts and summarizes content from any given website.
• Uses AI-powered summarization to deliver concise and detailed insights.

3. Image Generator

• Generates images based on video titles or extracted content using the Pollinations API.

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Technologies Used

• Streamlit: For building the web interface.
• YouTube Transcript API: For fetching YouTube video transcripts.
• Google Generative AI: For AI-powered text summarization.
• Pollinations API: For image generation.
• BeautifulSoup: For web scraping.
• dotenv: For managing environment variables.

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Installation

Prerequisites

• Python 3.8 or above
• Conda environment setup

Steps

1. Clone the repository:

   git clone https://github.com/JARVIS-DK/WebTubeSummarizer-Python.git
   cd WebTubeSummarizer-Python

2. Create and activate a Conda environment:

   conda create -n myenv
   conda activate myenv

3. Install dependencies:

   conda install -n myenv streamlit youtube_transcript_api google-generativeai python-dotenv pathlib bs4

4. Add your Google API Key in a .env file:

   GOOGLE_API_KEY=your_api_key_here
   

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Usage

1. Run the application:

   streamlit run app.py

2. Access the application in your browser at http://localhost:8501.

3. Navigate between the following pages:

   • Home: Overview of the app features.
   • YouTube Summarizer: Enter a YouTube link to get a summary and generated images.
   • Website Summarizer: Enter a website URL to summarize its content.

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Project Structure

WebTubeSummarizer-Python/
|-- app.py                 # Main Streamlit app script
|-- .env                   # Environment variables
|-- requirements.txt       # List of Python dependencies
|-- images/                # Directory to store generated images
|-- README.md              # Project documentation

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License

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

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Contact

For any inquiries or issues, please contact JARVIS-DK.