gregsantos

🛠️ Development Environment

• Language: TypeScript (^5.0.0)
• Framework: Next.js (App Router)
• Styling: Tailwind CSS
• Component Library: shadcn/ui
• Data Fetching: React Query (TanStack)
• Testing: Jest + React Testing Library
• Linting: ESLint with @typescript-eslint
• Formatting: Prettier

lotif

import sys
import logging

from google.cloud import aiplatform

logging.basicConfig(level=logging.DEBUG, format="%(asctime)s - %(name)s - %(levelname)s: %(message)s")
logger = logging.getLogger(__name__)

model_id = sys.argv[1]
artifact_uri = sys.argv[2]

joschan21

// Chart.tsx example 

'use client'

import { AreaChart, Card, Title } from '@tremor/react'

const generateData = () => {
  let dataset = []
  const dates = [
    'Jun 30',

peterc

# Example of using SQLite VSS with OpenAI's text embedding API
# from Ruby.

# Note: Install/bundle the sqlite3, sqlite_vss, and ruby-openai gems first
# OPENAI_API_KEY must also be set in the environment
# Other embeddings can be used, but this is the easiest for a quick demo

# More on the topic at
# https://observablehq.com/@asg017/introducing-sqlite-vss
# https://observablehq.com/@asg017/making-sqlite-extension-gem-installable

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!

Want more content like this, for free? Check out my free book, RailsAI!

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

andreibondarev

require "weaviate"

client = Weaviate::Client.new(
  url:     ENV['WEAVIATE_URL'],
  api_key: ENV['WEAVIATE_API_KEY'],

  # Configure Weaviate to use OpenAI to create vectors and use it for querying
  # You can also use Cohere or Hugging Face and pass their API key here instead
  model_service: :openai,
  model_service_api_key: ENV['OPENAI_API_KEY'] 

shibanovp

{
  "name": "setup-chat",
  "description": "the gist to setup Build your own AI-Powered chat app with Next.js and LangChain from blog.experienced.dev",
  "version": "0.3.0",
  "engines": {
    "node": ">=18"
  },
  "bin": "./setup.js"
}

mabenson00

# Basic key operators to query the JSON objects :

# #> : Get the JSON object at that path (if you need to do something fancy)
# -> : Get the JSON object at that path (if you don't)
# ->> : Get the JSON object at that path as text
# {obj, n} : Get the nth item in that object

# https://www.postgresql.org/docs/9.4/functions-json.html#FUNCTIONS-JSONB-OP-TABLE
# Date 
# date before today

Tiefseetauchner

How to?

This is a prompt that will make ChatGPT play a RPG adventure with you. Just paste the prompt into the input. You can also provide information like your name

To pause a game, save the JSON and paste it in the second file and paste that as the prompt. Optionally provide more information for the model like setting

Why?

To play original and very adaptive RPG games without friends. Obviously, I'm a redditor.

mattiaz9

import { decode } from "blurhash"

export function blurHashToDataURL(hash: string | undefined): string | undefined {
  if (!hash) return undefined

  const pixels = decode(hash, 32, 32)
  const dataURL = parsePixels(pixels, 32, 32)
  return dataURL
}