PDF Summarizer using Gemini AI API

📌 Project Description

This project is a PDF Summarizer that uses Google's Gemini AI API to generate summaries of uploaded PDF documents. The application is built using Streamlit for an interactive UI and PyPDF2 for extracting text from PDF files.

🛠 Features

• Upload and summarize PDF documents.
• Uses Gemini AI to generate concise and meaningful summaries.
• Interactive UI using Streamlit.
• Displays extracted summaries instantly.
• Error handling for file processing and API interactions.

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🚀 Installation & Setup

1️⃣ Clone the Repository

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

2️⃣ Create a Virtual Environment

It is recommended to create a virtual environment to manage dependencies.

# For Windows
python -m venv venv
venv\Scripts\activate

# For macOS/Linux
python3 -m venv venv
source venv/bin/activate

3️⃣ Install Dependencies

Install the required dependencies using pip.

pip install -r requirements.txt

4️⃣ Set Up Environment Variables

Create a .env file in the project root directory and add your Google Gemini API Key:

GOOGLE_API_KEY=your_google_gemini_api_key_here

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🎯 How to Run the Application

Once everything is set up, run the application using:

streamlit run app.py

This will open a Streamlit web app in your default browser where you can upload PDFs and get instant summaries.

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📜 Project Structure

📁 pdf-summarizer/
│-- app.py  # Main application file
│-- requirements.txt  # List of dependencies
│-- .env  # Environment variables (not shared in repo)

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🛠 Technologies Used

• Python
• Streamlit
• PyPDF2
• Google Gemini AI API
• python-dotenv

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⚡ Troubleshooting

Issue: API Key not found error.

• Ensure the .env file is properly set up with the correct API key.
• Run echo $GOOGLE_API_KEY (Linux/macOS) or echo %GOOGLE_API_KEY% (Windows) to check if the environment variable is loaded.

Issue: Streamlit not launching.

• Ensure you have activated the virtual environment before running Streamlit.
• Try reinstalling dependencies using pip install -r requirements.txt.

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🏆 Contributing

Feel free to contribute! Fork the repository, make changes, and submit a pull request.

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📜 License

This project is licensed under the MIT License.

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📩 Contact

For any questions or issues, feel free to reach out via GitHub Issues. or mail to nidhishbalasubramanya@gmail.com