Hackaton - Text2Video Backend Project

Project Overview

This project is built for the Squire Hackaton and aims to convert text data from a provided URL into a video. The backend processes the input, utilizes external APIs and packages to generate video content, and supports deployment to Heroku.

Features:

• Data processing from URL: Extracts data (text, logos) from a given URL.
• Video Generation: Transforms text into video content using AI-driven tools.
• API Integration: Leverages OpenAI and other APIs for content generation.
• Deployed on Heroku: Ready for deployment and scalable cloud hosting.

Tech Stack

• Node.js: JavaScript runtime environment.
• Express.js: Web framework for building REST APIs.
• OpenAI API: Used for generating text-based content for videos.
• Redis: Caching layer to improve performance.
• Heroku: Cloud platform for deploying the backend.

Prerequisites

Before running the project, ensure you have the following installed:

• Node.js
• Heroku CLI
• Redis server (optional, but recommended for caching)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/hackaton-text2video.git
   cd hackaton-text2video

2. Install dependencies:

np` install

3. Create environment variables:

• Create a .env file in the root directory of your project.
• Add the required environment variables (API keys, Redis config, etc.).

Example .env file:

OPENAI_API_KEY=your-openai-api-key
REDIS_URL=your-redis-url

4. Run the server locally: To run the app locally, use the nodemon script with the local environment file.

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