Bayesian Optimization Structure Search (BOSS) web app

Prototype development of a multipage web app for Bayesian Optimization Structure Search (BOSS). Code documentation of BOSS can be found here.

This web app repository currently has two main branches:

main        <- Stable version for (future) production
develop     <- For development and demo

The other feature branches are for specific features.

Main structure

├── src                     <- Source code of the project
│   ├── pages               <- Pages other than the homepage
│   ├── tabs                <- Tabs for the run page   
│   ├── ui                  <- UI functions
│   └── home.py             <- Homepage that acts as the entry point
├── tests                   <- Tests
├── doc                     <- Documentation

How To Run

1. Install virtualenv:

$ pip install virtualenv

2. Open a terminal in the project root directory and run:

$ virtualenv env

3. Then run the command:

$ .\env\Scripts\activate

4. Then install the dependencies:

$ (env) pip install -r requirements.txt

5. Finally, start the web app on local host:

$ (env) streamlit run src/home.py