📌 PDF Q&A with Gemini (Google AI)

A simple and fast PDF Question Answering app powered by Google Gemini 2.0 Flash, built with Python + Streamlit.
This app allows you to upload a PDF, extract the content, and ask any question related to the document.

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🚀 Features

• ✅ Upload PDF and extract text
• ✅ Ask questions based on document context (PDF Q&A)
• ✅ Powered by Gemini 2.0 Flash
• ✅ Clean and simple UI with Streamlit
• ✅ Fast response and lightweight
• ✅ Customizable for future features
• ✅ Ready to deploy on HuggingFace Spaces

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🧱 Tech Stack

Component	Technology
AI Model	Gemini 2.0 Flash
Backend	Python
UI	Streamlit
PDF Parser	PyPDF2

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📌 Project Structure

pdf-qa-gemini/ │ ├─ app/ │ └─ main.py │ ├─ requirements.txt └─ README.md

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🧪 Local Development

1. Create virtual environment (optional)

python -m venv venv
source venv/Scripts/activate   # Windows

2. Install dependencies
pip install -r requirements.txt

3. Add your Gemini API key

Create a .env file:

GEMINI_API_KEY=YOUR_API_KEY_HERE

4. Run the app
streamlit run app/main.py

🌐 Deploy to HuggingFace

Upload project to HF Space

Select Python + Streamlit

Make sure requirements.txt exists

HF will auto-run app/main.py

🛠 Customization & Future Development (Roadmap)
Feature	Status
PDF Q&A	✅ Done
Support Multiple PDFs	⏳ Next
Add Memory / Chat History	⏳ Next
Support for images inside PDF	⏳ Next
Model switch (Gemini / OpenAI / Local LLM)	⏳ Next
Export Q&A to PDF	⏳ Next
Multi-language support	⏳ Next

This project is designed to be fully customizable, so additional features can be added easily based on client needs.

👨‍💻 Author

Created by Rizki Firmansyah
GitHub: https://github.com/abirizki

📄 License

MIT License