README.md

metadata

license: mit
title: LangChain-VideoWeb-Summarizer
sdk: streamlit
emoji: 👀
colorFrom: yellow
colorTo: blue
sdk_version: 1.45.1

AI Content Summarizer

This Streamlit application leverages AI to summarize web articles and YouTube videos. Users can input a URL, and the app will provide a concise summary of the content. It summarizes YouTube videos or any website content using LangChain, Google's Gemini API, and LangChain's document loaders. It uses LangChain and ChatGoogleGenerativeAI with gemini-1.5-flash model.

Features

• Web Article Summarization: Enter the URL of any online article to get a summary.
• YouTube Video Summarization: Provide a YouTube video URL to receive a transcript summary.
• Secure API Key Handling: Uses Streamlit's sidebar for API key input, ensuring it's not exposed in the main interface.
• User-Friendly Interface: Simple and intuitive design for ease of use.

Technologies Used

• Streamlit: For creating the web application interface.
• Langchain: To handle the summarization chain and document processing.
• Langchain: To handle the summarization chain and document processing.
• LangChain Google GenAI – for LLM integration.
• Validators: To ensure the validity of input URLs.
• youtube_transcript_api: For fetching transcripts from YouTube videos.
• pytube: To extract video information from YouTube.
• Unstructured: For parsing and extracting content from HTML (web articles).

Setup and Installation

1. Clone the repository:

   git clone https://github.com/your-username/ai-content-summarizer.git
   cd ai-content-summarizer
   

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Set your Google API Key:

   • Obtain an API key from Google AI Studio.
   • You can set it as an environment variable:

     export GOOGLE_API_KEY='your_google_api_key_here'
     

   • Alternatively, you can enter it directly in the application's sidebar when prompted.

How to Run

1. Ensure your virtual environment is activated and dependencies are installed.
2. Run the Streamlit application:

   streamlit run app.py
   

3. Open your web browser and navigate to the local URL provided by Streamlit (usually http://localhost:8501).
4. Enter your Google API Key in the sidebar.
5. Paste the URL of a web article or YouTube video into the input field and click "Summarize".

Example Usage

1. Find an interesting article online or a YouTube video.
2. Copy its URL.
3. Paste the URL into the app's input field.
4. Click "Summarize" and wait for the AI to generate the summary.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please feel free to:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature-name).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature/your-feature-name).
6. Open a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details (if you add one).

Notes

• You must have a valid Google API Key to use this app.
• The quality of the summary depends on the clarity and structure of the source content.