AWS Text-to-Speech Converter

This project demonstrates how to build a serverless text-to-speech converter using AWS services like DynamoDB, Lambda, S3, SNS, Polly, and API Gateway.

Features

• Store and manage posts using DynamoDB.
• Convert text posts into audio files (MP3) with Amazon Polly.
• Serve the audio files via S3 and provide RESTful API access.
• Static web interface for easy interaction.

Architecture Overview

The application is designed using a serverless architecture, ensuring scalability, cost-effectiveness, and ease of maintenance.

Getting Started

Follow these steps to deploy and run the project.

Prerequisites

• An AWS account with sufficient permissions.
• AWS CLI installed and configured.
• Node.js installed (for setting up the static website).
• Python 3.x for Lambda functions.

Steps to Deploy

1. Create AWS Resources:
   • DynamoDB table
   • S3 bucket
   • SNS topic
2. Deploy Lambda Functions:
   • new_post_lambda
   • convert_to_audio_lambda
   • get_post_lambda
3. Expose APIs using API Gateway.
4. Host the static website on S3.

Usage

• Access the web interface hosted on Amazon S3.
• Use the "Add Post" form to submit text for conversion.
• Retrieve posts via the "Get Post" section.

Contributing

Contributions are welcome! Please submit a pull request or raise an issue for suggestions.

License

This project is licensed under the MIT License. See the LICENSE file for details.