alexrudall

How to add ChatGPT streaming to your Ruby on Rails 7 app!

This guide will walk you through adding a ChatGPT-like messaging stream to your Ruby on Rails 7 app using ruby-openai, Rails 7, Hotwire, Turbostream, Sidekiq and Tailwind. All code included below!

• Follow me on Twitter for more Ruby AI at https://twitter.com/alexrudall
• Released under the MIT License - use as you wish :)

First, add the ruby-openai gem! Needs to be at least version 4. Add Sidekiq too.

aanari

sudo update-alternatives --install /usr/bin/x-terminal-emulator x-terminal-emulator $(which alacritty) 50
sudo update-alternatives --config x-terminal-emulator

rengler33

# see rkengler.com for related blog post
# https://www.rkengler.com/how-to-capture-network-traffic-when-scraping-with-selenium-and-python/

import json
import pprint

from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities

capabilities = DesiredCapabilities.CHROME

naoufalelh

Rails Active Storage Cheatsheet

• Rails Active Storage Cheatsheet
  • Install Active Storage
  • Usage
    • Model
    • Controller
    • Views (in ERB)
    • Display Image and its variants or Preview (PDF or Video)
• Install this libraries first

jsoverson

const puppeteer = require('puppeteer');
const prettier = require('prettier');
const atob = require('atob');
const btoa = require('btoa');

const scriptUrlPatterns = [
  '*'
]

const requestCache = new Map();

zparnold

kubectl get pods --all-namespaces | grep Evicted | awk '{print $2 " --namespace=" $1}' | xargs kubectl delete pod

amishshah

const fs = require('fs');
const file = JSON.parse(fs.readFileSync('./dump.har')).log;
const targetMimeType = 'image/jpeg';

let count = 1;
for (const entry of file.entries) {
  if (entry.response.content.mimeType === targetMimeType) {
    // ensure output directory exists before running!
    fs.writeFileSync(`output/${count}.png`, new Buffer(entry.response.content.text, 'base64'), 'binary');
    count++;

mdang

Alexa

Prerequisites

• AWS Account
• Create a Developer Portal Account
• Alexa-enabled device for testing (Optional)
  • Companion App - http://alexa.amazon.com/

Why Develop for Alexa?

roadrunner2

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

vemacs

#################################
#
# Backend
#
#################################

# Backend to use: "xrender" or "glx".
# GLX backend is typically much faster but depends on a sane driver.
backend = "glx";