README.md

---
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](https://python.langchain.com/docs/integrations/llms/google_generative_ai)** – 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:**
    ```bash
    git clone https://github.com/your-username/ai-content-summarizer.git
    cd ai-content-summarizer
    ```

2.  **Create a virtual environment and activate it:**
    ```bash
    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
    ```

3.  **Install the required dependencies:**
    ```bash
    pip install -r requirements.txt
    ```

4.  **Set your Google API Key:**
    - Obtain an API key from [Google AI Studio](https://aistudio.google.com/app/apikey).
    - You can set it as an environment variable:
      ```bash
      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:**
    ```bash
    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](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.