Canbey Bilgili cbilgili

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!

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Released under the MIT License - use as you wish :)

Requirements

Minikube requires that VT-x/AMD-v virtualization is enabled in BIOS. To check that this is enabled on OSX / macOS run:

sysctl -a | grep machdep.cpu.features | grep VMX

If there's output, you're good!

Prerequisites

When using react-rails for an internationalized app it makes a lot of sense to use i18n-js for translations, so that you can reuse the the strings from your rails app's .yml files (and all the tooling & services that exist around that).

When you use the prerender feature of react-rails you face 2 problems:

The first is that translation.js & i18n.js from i18n-js need to be loaded inside the server-side JS prerendering processes, which is achieved by loading them inside the components.js.
The second problem is the server processes need to be aware of the current locale of each HTTP request. This is done by adding a custom renderer and using the before_render hook to configure i18n-js accordingly for each render call.

	minikube stop; minikube delete &&
	docker stop $(docker ps -aq) &&
	rm -rf ~/.kube ~/.minikube &&
	sudo rm -rf /usr/local/bin/localkube /usr/local/bin/minikube &&
	launchctl stop 'kubelet.mount' &&
	launchctl stop localkube.service &&
	launchctl disable localkube.service &&
	sudo rm -rf /etc/kubernetes/ &&
	docker system prune -af --volumes

	---
	format_version: 1.1.0
	default_step_lib_source: https://github.com/bitrise-io/bitrise-steplib.git
	app:
	envs:
	- BITRISE_PROJECT_PATH: ios/pro_mobile.xcodeproj
	opts:
	is_expand: false
	- BITRISE_SCHEME: pro_mobile
	opts:

	#!/usr/bin/env ruby
	require 'open3'
	require 'fileutils'

	def run_command(command)
	puts("+: " + command)

	Open3.popen2e(command) do \|stdin, stdout_stderr, wait_thread\|
	Thread.new do
	stdout_stderr.each {\|l\| puts l }

	const Form = t.form.Form;

	const postOptions = t.struct({
	publication: t.String,
	tags: t.String,
	more: t.String,
	facebook: t.Boolean
	})

	const options = {

	module Concerns
	module NestedAttributesSync
	extend ActiveSupport::Concern

	included do
	class_attribute :nested_attributes_sync_options, instance_writer: false
	self.nested_attributes_sync_options = {}
	end

	class_methods do

	"""Print most frequent N-grams in given file.

	Usage: python ngrams.py filename

	Problem description: Build a tool which receives a corpus of text,
	analyses it and reports the top 10 most frequent bigrams, trigrams,
	four-grams (i.e. most frequently occurring two, three and four word
	consecutive combinations).

	NOTES

	'use strict';

	var React = require('react-native');
	var Firebase = require('firebase');
	var {
	AppRegistry,
	StyleSheet,
	Text,
	View,
	TextInput,