mlipy 0.1.1

Python-based Machine Learning Interface

python-mli

Pure Python-based Machine Learning Interface for multiple engines with multi-modal support.

Python HTTP Server/Client (including WebSocket streaming support) for:

• candle
• llama.cpp
• LangChain

Prerequisites

Debian/Ubuntu

sudo apt update -y
sudo apt install build-essential git curl libssl-dev libffi-dev pkg-config

Rust

1. Using latest system repository:

sudo apt install rustc cargo

2. Install rustup using official instructions:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source "$HOME/.cargo/env"
rustup default stable

Python

1. Install Python using internal repository:

sudo apt install python3.11 python3.11-dev python3.11-venv

2. Install Python using external repository:

sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update -y
sudo apt install python3.11 python3.11-dev python3.11-venv

Arch/Manjaro

Rust

1. Using latest system-wide rust/cargo:

sudo pacman -Sy base-devel openssl libffi git rust cargo rust-wasm wasm-bindgen

2. Using latest rustup:

sudo pacman -Sy base-devel openssl libffi git rustup
rustup default stable

macOS

brew update
brew install rustup
rustup default stable

llama.cpp

cd ~
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
make

candle

cd ~
git clone https://github.com/huggingface/candle.git
cd candle
find candle-examples -type f -exec sed -i 's/println/eprintln/g' {} +
cargo build -r --examples

Run Development Server

git clone https://github.com/mtasic85/mlipy.git
cd mlipy

python3.11 -m venv venv
source venv/bin/activate
pip install poetry
poetry install
python -B mli/server.py

Run Examples

python -B examples/sync_demo.py
python -B examples/async_demo.py
python -B examples/langchain_sync_demo.py
python -B examples/langchain_async_demo.py

Run mlipy Server

python3.11 -m venv venv
source venv/bin/activate
pip install -U mlipy
python -B -m mli.server