Text-to-Speech Microservices Project

This project is a simple text-to-speech (TTS) application built using a microservice architecture. The primary goal is to demonstrate how to build, containerize, and orchestrate independent Python services.

Architecture Overview

The application is composed of three distinct microservices:

• Frontend Service: A simple web interface built with Streamlit that allows users to input text.
• API Gateway for Routing: Routes requests to internal services
• Text Preprocessing Service: Cleans and normalizes user input text
• TTS Model Inference Service: Converts user input text to speech
• Audio Service: Serves and stored converted audio files

Communication Flow

1. A user submits text through the Frontend Service.
2. The Frontend Service sends the text to the API Gateway.
3. The API Gateway sends the text to the Text Preprocessing Service for preprocessing.
4. The Text Preprocessing Service send the processed text to audio file to the TTS Model Inference Service.
5. The TTS Model Inference Service returns the generated audio file to the Audio Service.
6. The Audio Service saves the audio and returns its location to the Frontend Service.
7. The Frontend Service provides a link for the user to play or download the audio.

Folder Structure

tts-microservices-app\
├── LICENSE
├── README.md
├── api-gateway
│   ├── Dockerfile
│   └── main.py
├── audio-service
│   ├── Dockerfile
│   └── main.py
├── docker-compose.yml
├── preprocessing-service
│   ├── Dockerfile
│   └── main.py
├── tts-service
│   ├── Dockerfile
│   └── main.py
└── web_ui
    └── app.py