Indic-Translator

Indic-Translator is a comprehensive translation tool designed to bridge linguistic divides in the digital age, with a focus on Indian languages.

Features

• Text-to-text translation
• Speech-to-text translation
• PDF document translation
• Chrome extension for webpage translation
• Support for multiple Indic languages

Project Structure

• /extension: Contains files for the Chrome extension
• /preprocessing: Contains files for data preprocessing and model training
• /static: Static assets for the web application
• /templates: HTML templates for the web interface
• app.py: Main application file
• fairseq.ipynb - fairseq implementation

Installation and Usage

Follow these steps to set up and run the Indic-Translator project:

1. Clone the repository:

   git clone https://github.com/AbhishekNair050/Indic-Translator.git
   cd Indic-Translator
   

2. Create a virtual environment:

   python -m venv venv
   

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate
     

   • On macOS and Linux:

     source venv/bin/activate
     

4. Install the required packages:

   pip install -r requirements.txt
   

5. Run the application:

   python app.py
   

6. Open a web browser and navigate to http://localhost:5000 to access the Indic-Translator web interface.

Chrome Extension

To use the Chrome extension:

1. Open Chrome and navigate to chrome://extensions
2. Enable "Developer mode" in the top right corner
3. Click "Load unpacked" and select the /extension directory from this project
4. To disable safe mode for extensions (if needed):
   • Go to chrome://flags
   • Search for "extensions" and disable "Extension Safety Check"
   • Restart Chrome

Preprocessing

The /preprocessing directory contains our initial attempts and current preprocessing pipeline:

• data_cleaning.py: Cleans and prepares the training data
• inference.py: Handles model inference
• main.py: Main script for the preprocessing pipeline
• model.py: Defines the translation model architecture
• preprocessing.py: Implements text preprocessing functions