Prem provides a unified environment to develop AI applications and deploy AI models on your infrastructure. Abstracting away all technical complexities for AI deployment and ushering in a new era of privacy-centric AI applications - users can finally retain control and ownership of their models.
- Install Prem on your Linux server for Production (Ubuntu, Debian) - Installer script
- Install Prem on your MacOS or Linux for local development - Dowload the latest Prem Desktop App
- Try out on the live demo instance - app.prem.ninja
In-depth documentation for installing and using Prem is available at dev.premai.io
GettingStarted.mp4
Install everything needed to run Prem on Ubuntu/Debian server.
wget -q https://get.prem.ninja/install.sh -O install.sh; sudo bash ./install.sh
The idea is to offer a fully open-source and functional PaaS specifically designed for AI services management and deployment. For this reason, we are working on the Basic Cloud Primitives necessary to offer a full solution:
- Domains and SSL Management.
- Basic Authentication
- API Keys Management
- Payments (Fiat, BTC, Crypto)
- Multiple Orchestrators Support (k8s, docker swarm)
The AI services expose an HTTP API interface, standardized for their interface type. For example, all models of type Chat
expose the OpenAI API for easy of integration of existing tool and AI app ecosystem.
Each service we support it's published on the Prem Registry.
Anyone can implement, package and publish an AI service on Prem. You can check how here.
Let us know which Model / Feature you wanna see in Prem here
- 😃 Chat
- 📕 Embedding
- 🏛️ Vector Store
- 🎨 Diffuser
- 💻 Coder
- 🎵 Text to Audio
- 🎵 Audio to Text
- 🖼️ Upscaler
- 📷 Vision
- 📖 Summary
- 📹 Video
Make sure to remove any value in the
.env
file.
npm i
npm run tauri dev
# run the daemon
docker-compose up -d premd
# copy .env.example file in .env
cp .env.example
npm i
npm run dev
VITE_BACKEND_URL
: destination of the premdIS_PACKAGED
:true
|false
used for server packaging.VITE_DEVELOPER_MODE
: 0 | 1
git clone https://github.com/premAI-io/prem-daemon.git
cd ./prem-daemon
# create a python virtual environment and activate it
virtualenv venv -p=3.10
source ./venv/bin/activate
# install the necessary dependencies
pip install -r requirements.txt
# configure pre-commit hooks
pre-commit install
# run the webserver
cp .env.example .env
python main.py
In order to use the mock registry, you can specify the REGISTRY_URL
environment variable as following:
PREM_REGISTRY_URL=https://raw.githubusercontent.com/premAI-io/prem-daemon/main/resources/mocks/manifests.json
The mock registry is not fully tested. Few interfaces could be broken.
pytest
- Create a tag with the new version in
prem-daemon
- Create a tag with the new version in
prem-app
- Manually set the new tag as latest in
prem-app
- Update the version in
prem-box
using thebump.sh
command.
Thank You ❤️