Language Translation AI Project

Introduction

The Language Translation AI project aims to provide users with an easy and intuitive way to translate text between various languages using pre-trained translation models. This repository contains both the frontend and backend components of the project.

Features

• Translate text between English and target languages (German, French, Spanish).
• User-friendly interface for inputting text and selecting target languages.
• Pre-trained translation models for accurate and fast translation.

Technologies Used

• Python
• Flask (Backend)
• Streamlit (Frontend Interface)
• Hugging Face Transformers (Translation Models)
• Git and GitHub (Version Control)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/translation-ai-project.git
   cd translation-ai-project
   

Install dependencies:

-pip install -r requirements.txt

Running the Streamlit Application

1. Navigate to the project directory: -cd translation-ai-project

2. Run the Streamlit application: -streamlit run app_frontend.py

3. Access the application by opening a web browser and navigating to http://localhost:8501.

Repository Structure

-app_frontend.py: Contains the Streamlit frontend code. -app.py: Includes the Flask backend code. -model: Includes pre-trained translation models and tokenizers. -requirements.txt: List of required Python packages.