PDFQuery AI

PDFQuery AI is an intelligent PDF conversation companion that allows users to upload PDF documents and interact with their content through a natural language interface, powered by Google's Gemini AI.

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Download the App

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ScreenShots of App

Click to view Screenshots

Features

• 📄 PDF Upload & Processing (up to 16MB)
• 💬 Interactive Chat Interface with Suggested Prompts
• 🤖 AI-Powered Document Analysis using Gemini 1.5
• 📱 Responsive Design with Modern UI
• 🎨 Beautiful Gradient Styling
• ⚡ Real-time Response Generation
• 🔒 Secure File Handling

Tech Stack

• Frontend:

  • HTML5
  • CSS3 (Tailwind CSS)
  • JavaScript (Vanilla)
  • Font Awesome Icons

• Backend:

  • Flask (Python Web Framework)
  • Google Generative AI (Gemini 1.5)
  • PyPDF2 (PDF Processing)
  • Tenacity (Retry Logic)

Prerequisites

• Python 3.8+
• Google Gemini API Key

Installation

1. Clone the repository:

git clone https://github.com/PSHACKERZ/PDFQuery-AI.git 
cd PDFQuery-AI

2. Install the required dependencies:

pip install -r requirements.txt

3. Set up environment variables: Create a .env file in the root directory and add:

GEMINI_API_KEY=your_api_key_here

4. Run the application:

python app.py

5. Open your browser and navigate to:

http://localhost:5000

Usage

1. Open the application in your web browser
2. Click "Upload PDF" to select your PDF file (max 16MB)
3. Wait for the upload confirmation
4. Start asking questions about the PDF content
5. Use suggested prompts or type your own questions

Security Features

• Secure file handling with automatic cleanup
• Session management
• File size restrictions
• Secure cookie configuration
• Input validation and sanitization

Limitations

• Maximum file size: 16MB
• Supports only text-based PDF files
• Maximum content length: 10,000 characters
• Requires internet connection for AI processing

Error Handling

The application includes comprehensive error handling for:

• File size limitations
• File type validation
• PDF text extraction
• API communication
• Server errors

Contributing

We welcome contributions to PDFQuery AI! Please read our Contributing Guidelines for details on:

• 🐛 Bug Reports and Feature Requests
• 🔀 Pull Request Process
• 📝 Code Style Guidelines
• 📜 Licensing Information

For major changes, please open an issue first to discuss what you would like to change.

Contact

For support or queries, contact us on Telegram: @PS_Hacker

License

MIT License

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Made with ❤️ by P.S. Hackerz