AI Notes Summarizer 📝

This project is an AI-powered web application designed to condense long academic notes, articles, or any text document into concise, key-point summaries. It leverages Google's powerful Gemini model to provide accurate, context-aware summarizations through a clean and simple user interface built with Streamlit.

✨ Key Features

• Direct Text Summarization: Paste any amount of text directly into the app for a quick summary.
• PDF File Upload: Upload PDF documents to extract and summarize their content seamlessly.
• High-Quality Summaries: Utilizes the gemini-1.5-flash-latest model for fast and contextually accurate summaries.
• User-Friendly Interface: A simple and intuitive web app built with Streamlit, requiring no installation for end-users.

🛠️ Technologies Used

• Backend: Python
• Frontend: Streamlit
• AI Model: Google Gemini API (google-generativeai)
• PDF Parsing: PyPDF2
• Environment Management: python-dotenv

🚀 Setup and Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone [https://github.com/your-username/ai-notes-summarizer.git](https://github.com/your-username/ai-notes-summarizer.git)
   cd ai-notes-summarizer

2. Create and activate a virtual environment:

   # For macOS/Linux
   python3 -m venv venv
   source venv/bin/activate
   
   # For Windows
   python -m venv venv
   .\venv\Scripts\activate

3. Install the required dependencies:

   pip install -r requirements.txt

4. Set up your environment variables:

   • Create a file named .env in the root of the project folder.
   • Add your Google Gemini API key to the file as shown below:

     GOOGLE_API_KEY="YOUR_API_KEY_HERE"
     

5. Run the application:

   streamlit run app.py

   The application will open in your web browser at http://localhost:8501.

Usage

1. Launch the application using the command above.
2. Either paste your text into the text area or use the file uploader to select a PDF document.
3. Click the "Summarize" button.
4. The generated summary will appear below the button.

📄 License

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