Translator Backend

A robust backend API for a translation application, built with FastAPI, PostgreSQL, and Hugging Face Inference API.

Features

• Authentication: Secure user registration and login using JWT (JSON Web Tokens).
• Translation: Translate text between English and French using state-of-the-art models hosted on Hugging Face.
  • French to English (Helsinki-NLP/opus-mt-fr-en)
  • English to French (Helsinki-NLP/opus-mt-en-fr)
• Database: PostgreSQL integration with SQLAlchemy ORM.
• Security: Password hashing with Bcrypt, environment variable configuration.

Tech Stack

• Framework: FastAPI
• Database: PostgreSQL
• ORM: SQLAlchemy
• Authentication: Python-Jose, Passlib (Bcrypt)
• AI/ML: Hugging Face Inference API

Setup & Installation

1. Clone the repository:

   git clone https://github.com/Ysen0603/Translator_backend.git
   cd Translator_backend

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure Environment Variables: Create a .env file in the root directory and add the following:

   DATABASE_URL=postgresql://user:password@localhost/dbname
   SECRET_KEY=your_secure_secret_key
   HUGGINGFACE_API_KEY=your_huggingface_api_key

5. Run the application:

   uvicorn main:app --reload

API Documentation

Once the server is running, you can access the interactive API documentation at:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

API Endpoints

Authentication

• POST /api/v1/auth/register: Register a new user.
• POST /api/v1/auth/login: Login and get an access token.

Translation

• POST /api/v1/translation/: Translate text (Requires Authentication).
  • Body: {"text": "Hello", "source_lang": "en", "target_lang": "fr"}