DeepSeek AI Document Chat Assistant

A streamlined document chat application powered by DeepSeek-R1 that allows users to upload documents and engage in natural conversations about their content. This application supports PDF, DOCX, and image files, making it versatile for various document types.

Features ✨

• Document Processing: Upload and process PDF, DOCX, and image files
• Text Extraction: Automatic text extraction from various file formats
• Interactive Chat: Natural conversation interface for document queries
• Real-time Processing: Live document analysis and response generation
• Clean UI: Simple and intuitive Streamlit interface
• File Support: Handles multiple document formats with size limit checks

Requirements 📋

streamlit
together
pdfplumber
python-docx
pytesseract
Pillow
pdf2image

Setup & Installation 🚀

1. Clone the repository:

git clone https://github.com/fahadyaseen001/DeepSeek-AI-Document-Chat-Assistant.git
cd DeepSeek-AI-Document-Chat-Assistant

2. Install required dependencies:

pip install -r requirements.txt

3. Install Tesseract OCR (required for image processing):

• For Ubuntu/Debian:

  sudo apt-get install tesseract-ocr

• For macOS:

  brew install tesseract

• For Windows: Download and install from: https://github.com/UB-Mannheim/tesseract/wiki

4. Add required images:

• Place deepseek-color.png in the root directory

5. Get your API key:

• Sign up at Together.ai
• Generate an API key from your dashboard

Usage 💡

1. Run the application:

streamlit run app.py

2. In your web browser:

• Enter your Together API key in the sidebar
• Upload a document (PDF, DOCX, or image)
• Wait for processing completion
• Start asking questions about your document

Supported File Types 📄

• PDF documents (.pdf)
• Word documents (.docx)
• Images (.png, .jpg, .jpeg)

Size Limits 📏

• Maximum file size: 200MB
• Maximum text processing: 6000 characters per query

Architecture 🏗️

The application is built with the following components:

• Frontend: Streamlit web interface
• Document Processing: pdfplumber, python-docx, pytesseract
• AI Model: DeepSeek-R1 via Together API
• Session Management: Streamlit session state

Development 👨‍💻

To contribute to the project:

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

Repository Description 📝

DeepSeek AI Document Chat Assistant: An intelligent document analysis tool powered by DeepSeek-R1. Upload documents and chat naturally about their contents. Supports PDFs, Word documents, and images with an intuitive interface built using Streamlit.

Key features:
• Multi-format document support
• Natural language document queries
• Real-time processing
• Clean, user-friendly interface
• Powered by DeepSeek-R1 AI

License 📄

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

Acknowledgments 🙏

• DeepSeek-R1 model by DeepSeek
• Together.ai for API access
• Streamlit for the web framework
• Various open-source libraries used in the project