Deploy AI Wrappers in minutes, not weeks

FastAPI, Docker, Streamlit, integrated with OpenAI and ElevenLabs APIs - our ML repo simplifies setup and deployment. Easily containerized for any cloud, like AWS or Azure, it's ideal for everyone from AI novices to busy pros.

All you need to deploy & demo in minutes,not weeks

  • Ready to use API calls for JSON mode chat-completion, image-generation, speech-to-text and text-to-speech. Simply add your API key and you're good to go!
  • Create your own customized API endpoints, with automatic documentation and deploy them hassle free with Docker to your favorite cloud provider. `gunicorn` is used as the WSGI server.
  • Want to quickly showcase your AI app to your team or clients? One line in your CLI and you're done! Using the same functions as the API, a streamlit app is ready for you.
  • From data preprocessing, token counting to failure handling, we've got you covered. Our initial setup simply works out of the box so you can focus on customizing your AI app.

Pricing

Save hours of setting up environment and deploy faster!

Starter

Get started with the basics

$149

$99

USD

  • OpenAI + ElevenLabs API
  • FastAPI boilerplate
  • Streamlit
  • Docker

Pay once. Access forever.

POPULAR

Community

Together we go further

$299

$199

USD

  • OpenAI + ElevenLabs API
  • FastAPI boilerplate
  • Streamlit
  • Docker
  • Exclusive Webinars
  • Discord community

Pay once. Access forever.

FAQ

Frequently Asked Questions

  • A machine learning boilerplate that will help you demo your results instantly. Plus, it is readily deployable to cloud. Community package users gets exlusive access to webinars and our Discord community
  • Only if you failed to get access to the code repository. Otherwise, no.

  • As often as there are reasonable jumps in the opensource software. Too much noise out there, we take only what truely helps.
  • Biweekly recorded sessions. Exclusive webinars are Q&A session about AI wrapping.
Background

Skip routine setup, code, showcase

Don't waste time integrating APIs or writing Dockerfiles...