This project provides a web interface for generating AI videos, inspired by OpenAI's Sora. It targets users interested in exploring text-to-video generation capabilities, offering a platform to experiment with AI-driven video creation.

How It Works

The project utilizes Next.js for its full-stack architecture, with PostgreSQL for database management. It leverages pnpm for dependency management and Tailwind CSS for frontend styling. The backend likely handles API interactions and data processing, though specific AI model integrations are not detailed beyond referencing OpenAI's "red team" for example videos.

Quick Start & Requirements

• Install: sudo docker build -f deploy/Dockerfile -t sorafm:latest . followed by sudo docker run -itd -p 127.0.0.1:8014:8080 --restart=always sorafm:latest.
• Prerequisites: Docker, PostgreSQL (local, Vercel-Postgres, or Supabase), Node.js (for local development).
• Setup: Docker deployment is straightforward. Local development requires cloning, pnpm install, setting up a .env.local file with POSTGRES_URL and WEB_BASE_URI, and running pnpm dev --port 3000.
• Links: Live Demo: https://sorafm.trys.ai

Highlighted Details

• Full-stack Next.js application.
• PostgreSQL database integration.
• Docker deployment option available.
• Uses pnpm for package management.

Maintenance & Community

The project is maintained by idoubicc, with contact available via Twitter: https://twitter.com/idoubicc.

Licensing & Compatibility

The repository does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project states that the "Sora text-to-video API is not available," and displayed videos are generated by OpenAI's "red team," implying this project does not directly interface with OpenAI's Sora model. The specific AI models used for generation within this project are not detailed.