Multilingual Text & Speech Conversational AI Toolkit

This repository contains three AI-powered projects that focus on multilingual text translation, speech-to-text conversion, and text-to-speech synthesis. These projects are built using state-of-the-art transformer models and speech processing frameworks.

---

1. Multilingual Text Translator 🌐

A web application for translating text between English and various Indic languages, and vice versa.

Features:

• Translate text from English to Indic languages and from Indic languages to English.
• Support for multiple target languages in one go.
• File translation for TXT and XLSX formats.
• Download translations individually or combined.
• Beautiful, responsive UI with glassmorphism effects and gradient styling.

Supported Indic Languages:

• Hindi, Bengali, Tamil, Telugu, Malayalam, Kannada, Gujarati, Marathi, Punjabi, Urdu

Technologies:

• Python, Streamlit, PyTorch
• Transformers (prajdabre/rotary-indictrans2)
• IndicTransToolkit for preprocessing and postprocessing
• Pandas, Chardet for file handling

Usage:

pip install -r requirements.txt

---

2. Speech-to-Text (Voice Transcription) 🎤

An app to convert audio files into text using OpenAI Whisper.

Features:

• Upload audio files (wav, mp3, m4a) for transcription.
• Handles long audio files by chunked processing.
• Detects the language of the uploaded audio.
• Provides accurate, fast transcription results.

Supported Indic Languages:

• Hindi, Bengali, Tamil, Telugu, Malayalam, Kannada, Gujarati, Marathi, Punjabi, Urdu

Technologies:

• Python, Streamlit, Whisper
• Librosa for audio loading and processing
• Numpy for numerical operations
• PyTorch for model inference

Usage:

pip install -r requirements.txt
streamlit run faster_whisper_app.py

3. Text-to-Speech (Voice Generation) 🗣️

An app to convert text into natural-sounding speech with customizable voice styles.

Features:

• Multiple Indian-accent voice styles: Natural Conversational, Professional, Friendly Casual.
• Adjustable speech speed.
• Download generated audio in WAV format.
• High-quality audio generation using ParlerTTS.

Supported Indic Languages:

• Hindi, Bengali, Tamil, Telugu, Malayalam, Kannada, Gujarati, Marathi, Punjabi, Urdu

Technologies:

• Python, Streamlit, PyTorch
• ParlerTTS (ai4bharat/indic-parler-tts)
• Transformers, SoundFile
• Optional Librosa for speed adjustment

Usage:

pip install -r requirements.txt
streamlit run text2speech.py
streamlit run text2text.py

---

Setup Instructions

1. Clone this repository:

git clone https://github.com/shruti-shreya01/Multilingual-text2text-translation.git
cd Multilingual-text2text-translation

2. Installation:

pip install -r requirements.txt

3. Usage:

streamlit run <script_name.py>
# Example:
# streamlit run text2text.py
# streamlit run speech_to_text.py
# streamlit run text2speech.py