AI text summerizer implementing 12 factor app principle, fastAPI, Docker

**Github link of the project**
[Github](https://github.com/Dipesh-Chaudhary/ai-text-summarizer)

**[NOTE :- THIS PROJECT WAS SOLELY DONE TO UNDERSTAND AND IMPLEMENT 12 FACTOR APP, SO ALREADY AVAILABLE WELL TRAINED LLM FROM HUGGINGFACE IS USED]**
# AI Text Summarizer

[](https://github.com/Dipesh-Chaudhary/ai-text-summarizer/actions/workflows/ci.yml)

A microservice for **summarizing text using AI technology**, built with **FastAPI** and following the **12-Factor App** methodology.
## Features

- Text summarization using pre-trained AI models (Hugging Face Transformers)
- RESTful API with FastAPI
- Comprehensive test suite
- Fully containerized with Docker
- CI/CD pipeline with GitHub Actions
- Adheres to 12-Factor principles for modern application development

## 12-Factor Implementation

1. **Codebase**: One codebase tracked in Git
2. **Dependencies**: Explicitly declared in requirements.txt
3. **Config**: Environment variables for all configuration
4. **Backing Services**: Designed to treat backing services as attached resources
5. **Build, Release, Run**: Clear separation with Docker and CI/CD
6. **Processes**: Stateless processes with dependency injection
7. **Port Binding**: Self-contained service exposing via port binding
8. **Concurrency**: Scales via the process model with Uvicorn workers
9. **Disposability**: Fast startup/shutdown via containerization
10. **Dev/Prod Parity**: Same environment everywhere via Docker
11. **Logs**: Treated as event streams with structured logging
12. **Admin Processes**: Admin tasks as one-off processes

## Quick Start

The easiest way to run the application is using Docker:

```bash
# Clone the repository
git clone https://github.com/Dipesh-Chaudhary/ai-text-summarizer.git
cd ai-text-summarizer

# Copy the example environment file and modify if needed
cp .env.example .env

# Start the application with Docker Compose
docker-compose up -d
```
Once running, you can access:

- API Documentation: http://localhost:8000/docs
- Alternative API Documentation: http://localhost:8000/redoc

## Development
See the Development Guide for instructions on setting up your development environment.

## Testing
Run the test suite with:
```bash
pytest
```

## Documentation
For more detailed documentation:

[API Reference](https://github.com/Dipesh-Chaudhary/ai-text-summarizer/blob/development/docs/api.md)
[Deployment Guide](https://github.com/Dipesh-Chaudhary/ai-text-summarizer/blob/development/docs/development.md)

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