Skip to main content

Welcome to Hosting tutorial for you lab

Please make sure to read hardware requirement before proceeding to this page.​

  1. After clone Hosting Branch to your computer please verify your NVIDIA gpu is supporting CUDA by using this cmd in terminal/cmd below:
    nvidia-smi
  • Update your GPU diver if needed. please look for you GPU driver and update here.

example

  1. Hosting branch is already configured to run the AI model and Embedding model with all visible GPUs. If you wish to change this setting modify this file: docker-compose.yml under backend and ollama service.

docker

  1. Next check your local IP address using this cmd ipconfig in terminal and look for IPv4 Address: ip

  2. Change your app hosting IP address to make it visible for all local network user.

  • After getting your local hosting device IP address in step 3, please use it and modify backend/app/__init__.py line 31 ipmod

  • After modify your backend hosting IP please navigate to frontend/vite.config.js and replace localhost to your IP IPfrontend

  1. Save all of the files your have modified and open docker desktop, then run both of the command below in terminal
  • docker compose -f docker-compose.yml build and wait for it to complete
  • docker compose -f docker-compose.yml up
    This is your final step, you can either keep your editor open or not

Thanks for using our project as a tool to help your research going faster, we are proud to be your partner in your research journey.​

Best wishes from BioGenie team!​