Microservices Translation and Summarization Platform

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📋 Project Description

This platform is a cloud-native microservices-based solution for real-time translation and text summarization. It uses advanced NLP models, a scalable architecture, and supports secure user management with asynchronous communication.

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🖼️ Banner

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🌟 Features

• Real-time English-to-Arabic and Arabic-to-English translation.
• Customizable summarization styles (formal, informal, technical).
• Secure and scalable microservices architecture.
• Asynchronous processing using Apache Kafka.
• Dockerized services for easy deployment.

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🛠️ Requirements

• Python 3.9+
• Docker (for containerization)
• Postman (for API testing)

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📦 Installation

EN2AR-Service (English to Arabic Translation)

1. Clone the repository:

   git clone <repository-url>
   cd microservices-translation-summarization-platform/en2ar_service

2. Install dependencies:

   pip install -r en2ar_service/requirements.txt

3. Run the service:

   uvicorn en2ar_service.main:app --host 0.0.0.0 --port 8000

4. Alternatively, build and run the Docker container:

   docker build -t en2ar-service .
   docker run -p 8000:8000 en2ar-service
   

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AR2EN-Service (Arabic to English Translation)

1. Clone the repository:

   cd microservices-translation-summarization-platform/ar2en_service
   

2. Install dependencies:

   pip install -r ar2en_service/requirements.txt
   

3. Run the service:

   uvicorn ar2en_service.main:app --host 0.0.0.0 --port 8000
   

4. Alternatively, build and run the Docker container:

   docker build -t ar2en-service .
   docker run -p 8000:8000 ar2en-service
   

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📑 Documentation

For detailed API documentation, access FastAPI's Swagger UI:

• EN2AR-Service: http://localhost:8000/docs
• AR2EN-Service: http://localhost:8000/docs

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📦 Installation

1. Clone the repository:

   https://github.com/salahezzt120/microservices-translation-summarization-platform.git