ML + web3 model deployment survey

Create miniconda virtual environment

conda env create -f environment.yml

Activate virtual environment

conda activate ml-web3-deployment

Copy .env.template to .env and define variables

Update brownie configuration as needed for RPC access

Train new model

python train.py

Once the trained model has been uploaded to IPFS, define the IPFS_MODEL_HASH variable in your .env file

Deploy model to web3 infrastructure

python deploy --infra ocean