If you're working under M1 processor, have a look at the next section.

First, clone this repository:

git clone https://github.com/Liquid-Platonic/music-orchistrator.git

Install python 3.8.13 if you do not have it already(via pyenv or directly):

pyenv install 3.8.13

Then, install poetry via:

pip install poetry

Finally install dependencies via:

make install

Activate your environment, and before installing the dependencies run:

poetry config virtualenvs.path <conda-installation-path>

You have to compile transformers from source using Rust. Please follow run the following commands:

• curl https://sh.rustup.rs -sSf | sh -s -- --no-modify-path
• git clone https://github.com/huggingface/tokenizers
• pip install setuptools_rust
• cd tokenizers/bindings/python && python setup.py install
• pip install torch==1.11.0 torchaudio==0.11.0

You can find more info here: https://towardsdatascience.com/hugging-face-transformers-on-apple-m1-26f0705874d7.

conda install scipy==1.6.1 conda install librosa

• Run make install to install dependencies
• Run make clean to remove unnecessary files from the repo
• Run make pre-commit to run pre-commit hooks
• Run make reformat to reformat code to the PEP8 format

First you should run pre-commit install for the pre-commit hooks to be installed. When committing to the repo, pre-commit hooks are automatically triggered. You can run them manually via make pre-commit.

Follow the tutorial here on how to create an integration with the Cyanite API.

You have two get the following keys:

• Secret
• Access Token

These two keys should be registered on the config file found in dalang/config/config.env.

PORT should be set to 8080 and API_URL to https://api.cyanite.ai/graphql.

To establish a connection with the API run: python dalang/apis/proxyport.py