koaning

import anywidget
import traitlets

class TangleWidget(anywidget.AnyWidget):
    _esm = """
    export default { render };

    function render({ model, el }) {
        const input = document.createElement('span');
        input.style.borderBottom = '1px dashed #3498db';

koaning

pork chop noodle soup
5 ingredient almond cake with fresh berries
shrimp cakes
chili roasted okra
slow cooker chicken chili
fall superfood beef stew
rotisserie turkey breast tenderloin with pesto
j . alexander's mac and cheese
spinach stuffed pork roast
lasagna soup

koaning

{
  "name": "NuPhy Air60 V2",
  "vendorProductId": 435499605,
  "macros": [
    "{+KC_LSFT}{+KC_LGUI} {-KC_LSFT}{-KC_LGUI}",
    "{KC_LGUI} ",
    "{+KC_LSFT} ",
    "",
    "",
    "",

koaning

import prodigy 
from typing import List, Optional, Union, Iterable

from prodigy.components.loaders import get_stream
from prodigy.components.preprocess import fetch_media as fetch_media_preprocessor
from prodigy.util import log, msg, get_labels, split_string
from prodigy.types import TaskType, RecipeSettingsType


def remove_base64(examples: List[TaskType]) -> List[TaskType]:

koaning

import timeit
import requests

import html_text
import justext 
from selectolax.parser import HTMLParser

# There's a difference between these two
html_long = requests.get("http://planet.python.org/").content.decode("utf-8")
html_short = "<p><b>This</b> is just a small example.</p>"

koaning

import spacy
from spacy import displacy


def show_results(text, patterns):
    nlp = spacy.blank("en")
    ruler = nlp.add_pipe("entity_ruler")

    ruler.add_patterns(patterns)
    doc = nlp(text)

koaning

"""
This script combines two datasets to generate a file with all found patterns. 
"""

import srsly 
from prodigy.components.db import connect
import spacy 

nlp = spacy.blank("en")

koaning

import time
from typing import List

from rich import box
from rich.table import Table
from rich.console import Console

import prodigy
from prodigy.components.loaders import CSV

koaning

import base64
import pathlib
from jinja2 import Environment, FileSystemLoader, select_autoescape

env = Environment(
    loader=FileSystemLoader("images"),
    autoescape=select_autoescape()
)

template = env.get_template("instructions.template")

koaning

import pyphen

import prodigy
from prodigy.components.loaders import JSONL
from prodigy.components.db import connect

hyphenator = pyphen.Pyphen(lang="en_US")

def construct_html(text):
    hyphend = hyphenator.inserted(text)