🌐 QuickURL: URL Research and Q&A

Quickly analyze and understand web content using AI-driven summarization and interactive Q&A.

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🚀 About QuickURL

QuickURL is a Streamlit-powered app that helps users simplify online research by summarizing the content of URLs and providing intelligent answers to questions based on that content. Utilizing Google's Gemini 1.5 Flash Model, QuickURL makes web exploration faster, smarter, and more efficient.

With QuickURL, you can:

• Summarize web pages: Extract the essence of online content without reading everything.
• Ask questions: Query the extracted information for direct answers.
• Save time and effort: Let AI handle content analysis while you focus on insights.

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✨ Features

• Summarization: Paste a URL, and get a concise, AI-generated summary of its content.
• Interactive Q&A: Ask specific questions about the content and receive direct answers.
• History Tracking: Session-based tracking of processed URLs, summaries, and Q&A for reference.
• AI-Powered Insights: Leverage Google's advanced Gemini 1.5 Flash Model for natural language understanding.
• Streamlit Interface: Intuitive design for easy interactions.

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🛠️ Installation

Prerequisites

• Python 3.8 or higher.
• A valid Google API Key for accessing the Gemini model.

Steps

1. Clone the Repository:

   git clone https://github.com/Akanksha4554/QuickURL.git
   cd QuickURL

2. Create and Activate a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # For Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Set Up Environment Variables:
   Create a .env file in the root directory with the following content:

   GOOGLE_API_KEY=your_google_api_key
   

5. Run the Application:

   streamlit run main.py

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📖 How It Works

1. Input URLs: Use the sidebar to provide up to three URLs.
2. Process URLs: Click the "Process URLs" button to generate AI summaries of the content.
3. Interactive Q&A: Ask questions in the provided text input fields to receive targeted answers.
4. Review History: Access session-based summaries and Q&A for processed URLs.

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🛠️ Technologies Used

• Streamlit: For an interactive and user-friendly interface.
• Google Gemini AI: Provides AI-powered summarization and Q&A.
• python-dotenv: For managing environment variables.

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🌟 Why QuickURL?

QuickURL is perfect for students, professionals, and researchers who need quick insights into web content. Say goodbye to information overload and hello to a faster, AI-enhanced way of understanding online information.

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🤝 Contribution

Contributions are welcome! If you'd like to improve QuickURL or suggest new features:

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

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📝 License

This project is licensed under the MIT License.

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