Social Media Content Generator

Project Overview

This project aims to develop a robust tool that uses advanced machine learning techniques to generate engaging and SEO-optimized content for various social media platforms. By automating the process of content creation, this tool helps brands and individual creators expand their reach and maintain an active online presence without the constant need for manual input.

Features

Data Collection: Automated scripts to fetch trending data and topics from multiple sources.
ML Model Integration: Utilizes cutting-edge models from Hugging Face to generate relevant content.
Customizable Outputs: Tailored scripts for platforms like Instagram, Twitter, YouTube, and more.
Docker Support: Easy to set up and deploy with Docker containers.

Getting Started

Follow these instructions to get your project up and running on your local machine for development and testing purposes.

Prerequisites

Python 3.9+
Docker

Installation

Clone the repository:

git clone https://github.com/yourusername/social-media-content-generator.git

Navigate to the project directory:
```
cd social-media-content-generator
```
Build the Docker container:
```
docker build -t content-generator .
```
Run the application:
```
docker run -p 8000:80 content-generator
```

Contributing

We welcome contributions from the community. Before you start contributing, please read our CONTRIBUTING.md guidelines. To contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.

License

This project is licensed under the LICENSE - see the file for details.

Acknowledgments

Hugging Face for providing the powerful machine learning models.
Contributors who devote their time and expertise to help improve this project.

hpwn/content-hub