kcarnold

import streamlit as st
import random

words = ['hello', 'world', 'goodbye', 'moon']
random.shuffle(words)

essay = st.text_area("Essay", "", key="essay")

def append_word(word):
    st.session_state['essay'] = (

kcarnold

import streamlit as st
import os
from openai import OpenAI

# load the API key from a .env file
from dotenv import load_dotenv
load_dotenv()


st.title("Recipe Finder")

kcarnold

// Run this on the Core Curriculum page
// Gather courses by section
courses = new Map();
document.querySelectorAll('.acalog-course').forEach(x => {
  let name = x.textContent;
  let section = x.closest('.acalog-core').querySelector('h3, h4').textContent;
  console.log(name, section);
	if (!courses.has(name)) {courses.set(name, [])}
  courses.get(name).push(section);
});

kcarnold

window.FixPlotlySize = {
  id: 'FixPlotlySize',
  init: function(Reveal) {
    Reveal.addEventListener( 'slidechanged', function( event ) {
      let curSlide = Reveal.getCurrentSlide();
      require(['plotly'], function(Plotly) {
        let plotlyDivs = curSlide.querySelectorAll('.js-plotly-plot');
        for (let i = 0; i < plotlyDivs.length; i++) {
          Plotly.Plots.resize(plotlyDivs[i]);
        }

kcarnold

name: Comment Insertion updated version
description: >-
  Update: inserting comments on words that are loaded from a infoList from the
  (fake) server
host: WORD
api_set: {}
script:
  content: |
    // Given the target word and the comment, insert an anchored comment.
    function addComment(paragraphIndex: number, targetWord: any) {

kcarnold

Example based on https://github.com/UKPLab/sentence-transformers/blob/master/examples/applications/clustering/fast_clustering.py

# Install the needed libraries
!pip install -q sentence-transformers

# Import libraries we'll need
from sentence_transformers import SentenceTransformer, util
import os
import csv

kcarnold

# Sebastian Raschka 09/24/2022
# Fixed to avoid problems with spaces and other special characters in filenames, Ken Arnold 10/25/2022
#
# Create a new conda environment and packages
#   conda create -n whisper python=3.9
#   conda activate whisper
#   conda install mlxtend -c conda-forge

# Install ffmpeg
# macOS & homebrew

kcarnold

import sched
import time
import asyncio
import datetime

start_time = time.time()

def tick(a='default'):
    print("From tick", time.time() - start_time, a)

kcarnold

print(
  ', '.join(
    sorted(
      subprocess.check_output('pbpaste').decode('utf-8').split('\n'),
      key=lambda name: name.split()[-1])
  )
)

kcarnold

class VecPile:
    """An attribute-accesed collection that asserts that all of its elements have the same length.

    Useful for keeping several collections together, such as vectors with labels, or several different representations of the same data."""

    def __init__(self, **kw):
        for k, v in kw.items():
            setattr(self, k, v)

    @staticmethod