Text Summarizer

A modern web application that provides text summarization capabilities using AI. The application supports both direct text input and file uploads (PDF and Word documents).

Features

• Text summarization using AI (Deepseek API)
• Support for PDF and Word document processing
• Modern React frontend with Material-UI
• FastAPI backend with modular design
• Easy integration with different AI services

Project Structure

.
├── backend/
│   ├── app/
│   │   ├── api/          # FastAPI routes
│   │   ├── core/         # Core configuration
│   │   ├── models/       # Data models
│   │   └── services/     # Business logic
│   └── requirements.txt
└── frontend/
    ├── src/
    │   ├── components/   # React components
    │   ├── services/     # API services
    │   └── utils/        # Utility functions
    └── package.json

Setup

1. Backend Setup:

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt

2. Frontend Setup:

cd frontend
npm install

3. Environment Configuration: Create a .env file in the backend directory:

AI_SERVICE_TYPE=deepseek
AI_API_KEY=your_api_key
AI_API_BASE_URL=https://api.deepseek.com/v1

Running the Application

1. Start the backend server:

cd backend
python run.py

2. Start the frontend development server:

cd frontend
npm start

The application will be available at:

• Frontend: http://localhost:3000
• Backend API: http://localhost:8000

Usage

1. Text Summarization:

   • Enter text in the text box
   • Click "Summarize"
   • View the AI-generated summary

2. File Summarization:

   • Drag and drop a PDF or Word file
   • Click "Summarize"
   • View the AI-generated summary

Development

The application is designed to be easily extensible:

• New AI services can be added by implementing the AIService interface
• Additional file types can be supported by extending the DocumentService
• Frontend components can be modified or new ones added as needed

License

MIT License