anotherjesse

import { recipe, lift, UI, NAME, ID, handler } from "@commontools/common-builder";
import { dataGems, Gem, launch } from "../data.js";
import { html } from "@commontools/common-html";
import { CellImpl } from "@commontools/common-runner";


const dump = lift(({ object }) => JSON.stringify(object, null, 2));

export const jsonView = recipe<{ object: any; name: string }>(
  "json debug",

anotherjesse

import { recipe, lift, UI, NAME, ID, handler } from "@commontools/common-builder";
import { dataGems } from "../data.js";
import { html } from "@commontools/common-html";

const getGems = lift(({ count }) => dataGems.get());

const inc = handler<{}, { count: number }>((_, state) => {
    state.count += 1;
});

anotherjesse

<script lang="ts">
    import { perlinNoise2dFactory } from "squeaker";

    let svgCanvas: SVGElement;
    let numberOfColors = 1;
    const colorOptions = [3, 4, 5];
    const palletes: Record<string, string[]> = {
        reds: ["#ff0000", "#ff4040", "#ff8080", "#ffc0c0", "#ffe0e0"],
        greens: ["#00ff00", "#40ff40", "#80ff80", "#c0ffc0", "#e0ffe0"],
        blues: ["#0000ff", "#4040ff", "#8080ff", "#c0c0ff", "#e0e0ff"],

anotherjesse

<script lang="ts">
    let svgCanvas: SVGElement;
    let numberOfColors = 3;
    const colorOptions = [3, 4, 5];
    const palletes: Record<string, string[]> = {
        "reds": ["#ff0000", "#ff4040", "#ff8080", "#ffc0c0", "#ffe0e0"],
        "greens": ["#00ff00", "#40ff40", "#80ff80", "#c0ffc0", "#e0ffe0"],
        "blues": ["#0000ff", "#4040ff", "#8080ff", "#c0c0ff", "#e0e0ff"],
        "yellows": ["#ffff00", "#ffff40", "#ffff80", "#ffffc0", "#ffffe0"],
        "purples": ["#ff00ff", "#ff40ff", "#ff80ff", "#ffc0ff", "#ffe0ff"],

anotherjesse

{
    "2": [
        0.01681773543658595,
        -0.004168102482493682
    ],
    "3": [
        0.017646509435702475,
        -0.00592362233619472
    ],
    "4": [

anotherjesse

package main

import (
	"fmt"
	"math/rand"
	"os"
	"os/signal"
)

const (

anotherjesse

seed: 0 output: The Complete Book of Modern Paisley (Paisley Collection)
seed: 1 output: The Complete Idiot's Guide to Doing Nothing
seed: 2 output: The Complete Guide to Cat Care
seed: 3 output: The Complete Idiot's Guide to Sewing, Stitching, Needlepoint, and More
seed: 4 output: The Complete Idiot's Guide to Tennis: Everything You Need to Know About Tennis, One Game at a Time
seed: 5 output: The Complete Guide to Building a Website (The Complete Guides)
seed: 6 output: The Complete Idiot's Guide to Baking
seed: 7 output: The Complete Guide to Bicycle Repair
seed: 8 output: The Complete Idiot's Guide to Gardening
seed: 9 output: Big Bird Singing Classic

anotherjesse

def generate(prompt, filename):
    # Simulate the generation process (you can replace this with your actual function)
    print(f"Generating '{prompt}' and saving as '{filename}'")

# Options for each category
expressions = ["happy", "sad", "crying", "angry", "open mouth"]
genders = ["male", "female", "non-binary"]
ages = ["kid", "teen", "young adult", "adult", "old"]
ethnicities = ["Caucasian", "Hispanic", "Black", "Middle-Eastern", "South Asian", "East Asian"]
styles = ["realistic", "cartoon", "comics"]

anotherjesse

A first pass at creating a @langchain vectorstore for each tweet I have "liked"

I already store them as a json blob on https://lets.m4ke.org/tweets

This ingests them documents - each looking like @twitter_user_name says tweet_text_here

Samples:

>>> qa.run("what is @jakedahn tweeting about")

' @jakedahn is tweeting about art and creativity.'

anotherjesse

polling

model = replicate.models.get("replicate/hello-world")
version = model.versions.get("5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa")
inputs = {
  "text": "world",
}
output = version.predict(**inputs)

webhook