Voice Translation using Gen AI

A Python-based application that translates audio files from one language to another using Facebook's M2M100 translation model.

📋 Description

This project provides an audio translation pipeline that:

• Converts audio files to text (speech-to-text)

• Translates the text to a target language using M2M100

• Supports multiple language pairs

  

🚀 Features

• Multi-language support with M2M100 model
• High-quality translation using pre-trained AI models
• Easy-to-use Python interface
• Supports various audio formats

📦 Prerequisites

• Python 3.7 or higher
• pip (Python package manager)
• Internet connection (for first-time model download)

🔧 Installation

1. Clone or download this repository:

git clone <your-repository-url>
cd ML_PROJECT

2. Install required dependencies:

pip install transformers torch torchaudio
pip install SpeechRecognition
pip install pydub

3. (Optional) If working with audio files, you may need FFmpeg:

# Windows (using Chocolatey)
choco install ffmpeg

# macOS (using Homebrew)
brew install ffmpeg

# Linux
sudo apt-get install ffmpeg

📁 Project Structure

ML_PROJECT/
├── main.py                          # Main application file
├── static/                          # Static files (CSS, JS, images)
├── templates/                       # HTML templates
│   └── index.html                  # Web interface
├── Voice-Translation-using-...     # Additional documentation
└── README.md                        # This file

🎯 Usage

Basic Usage

1. Activate your Python environment:

# If using conda
conda activate base

# If using venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows

2. Run the application:

python main.py

3. The application will:
   • Load the M2M100 tokenizer
   • Load the translation model (may take time on first run)
   • Process your audio input
   • Output translated text

First Run

On the first run, the model will be downloaded automatically (approximately 2-3 GB). This is a one-time process.