Viral Factory is a highly modular gradio app that automates the production of various forms of social media content. Thanks to it's complex engines system it allows you to customize it's process in detail.

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• About the Project
• Built With
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Roadmap
• Contributing
• License
• Authors
• Acknowledgements

Viral Factory is a highly modular gradio app that automates the production of various forms of social media content with custom pipelines to allow for custom usage.

It can handle, notably:

• Writing scripts
• Text to Speech
• Assets retrieval
• Video Backgrounds
• Audio Backgrounds
• Upload to TikTok and YouTube

Thiw project was built with ❤️ and with

• Gradio
• 🐸TTS
• moviepy
• whisper-timestamped

Currently, an Nvidia gpu with at least around 10 GB of vram is required for this project to work in optimal conditions, and at minima 20 GB of free disk storage. You will need as well to have the following software installed (click on them to install):

• CUDA 11.8
• ffmpeg
• git
• Python 3.10
• PDM

Once the above requirements are installed, reboot your computer. Then, open a terminal window, navigate to where you want to install the project and run, one line at a time the following:

git clone https://github.com/Paillat-dev/viralfactory
cd viralfactory
pdm install
# or for development
pdm install --dev

This might take some time, you should not worry about it seeming stuck.

You can launch the webapp with:

pdm run start

Watch the video below to learn more on how to use.

See the open issues for a list of proposed features (and known issues).

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

• If you have suggestions, feel free to open an issue to discuss it.
• Please make sure you check your spelling and grammar.
• Create individual PR for each suggestion.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m '✨feat(Engines.LLMEngine) Add ollama local engine')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Distributed under the AGPL-3.0 license. See LICENSE for more information

• Paillat-dev - Paillat-dev - Main author

• ShaanCoding
• Othneil Drew
• ImgShields
• RayVentura/ShortGPT