A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
This gist contains a proof of concept project (hacked together during one evening) aimed at connecting an AI chat assistant to the Meshtastic network, enhancing its capabilities. The assistant is designed to provide concise and helpful responses within the constraints of the Meshtastic environment.
This project brings together two favorite elements: the Meshtastic network and an AI chat assistant. The assistant is based on the "FuseChat-7B-VaRM-Q5_K_M" model, and the code is written in Python.
#!/bin/bash | |
if [ -z "$VERSION" ]; then | |
echo 'Please specify a version. e.g, "VERSION=1.11.2 sh install-go.sh"' | |
exit | |
fi | |
export GO_DOWNLOAD_URL=https://storage.googleapis.com/golang/go$VERSION.linux-amd64.tar.gz | |
export GOPATH=/workspace |
Three functions from the OpenFaaS store have been packaged as "knative serving" definitions. No change to the container or code is needed.
#!/usr/bin/env bash | |
# Author: Sasha Nikiforov | |
# source of inspiration | |
# https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions | |
# Detect platform | |
if [ "$(uname)" == "Darwin" ]; then | |
# MacOS |
upstream deploy_phoenix { | |
server 127.0.0.1:8888; | |
} | |
map $http_upgrade $connection_upgrade { | |
default upgrade; | |
'' close; | |
} | |
# REDIRECT HTTP www.example.com to HTTPS example.com |
Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask
If you already have Java
installed on your system, skip steps Install Cask and Install Java
If you already have Java
and Homebrew
installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update
$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"