auto-shorts-pipeline

Auto shorts content generator project (wip) with Golang, C++, and Python

Project Overview

The auto-shorts-pipeline automates the generation of short-form video content using backend services, AI-generated scripts, and video processing. The backend manages user input, interacts with AI models like GPT-4, handles video assets, and integrates scripts with clips to produce engaging shorts. Current target outputs are short-form quizzes and sports highlight compilations.

Folder Structure

• cmd: Main entry point for running the backend (main.go)
• internal: Core backend implementation
  • handlers: Request processing logic
  • app: Application-specific logic
  • pkg: Shared internal utilities and data models
    • utils: Utility functions (e.g., HTTP clients, config management)
    • models: Data structures for API requests, responses, and video data
    • logging: Centralized logging
• pkg: Public libraries for reusable components
• web: Web UI components (static assets, HTML templates, JavaScript)
• api: API specs (OpenAPI/Swagger)
• configs: Configuration files and templates
• scripts: Dev, testing, and deployment scripts (setup.sh)
• test: Testing resources and mock data

Getting Started

1. Setup the Project:

   • Clone the repository:

     git clone https://github.com/perryz0/auto-shorts-pipeline.git
     cd auto-shorts-pipeline

   • Set up the backend by navigating to the cmd/backend directory and running:

     go run main.go

2. Configuration:

   • Set up necessary environment variables (e.g., API keys) as defined in config.yaml

3. Running the Pipeline:

   • Use the terminal or web UI to input content descriptions and generate shorts using the backend services

Contributing

Contributions are welcome! Submit pull requests or open issues for bugs or feature requests

License

This project is licensed under the terms of the LICENSE file in this repository