ahallora

require('dotenv').config();
const { App } = require('@slack/bolt');

const reaction = process.env.EMOJI;
const url = process.env.URL;

const app = new App({
  signingSecret: process.env.SLACK_SIGNING_SECRET,
  token: process.env.SLACK_BOT_TOKEN,
});

ahallora

Convert MP4 to GIF free and easy directly from the Windows context menu

Previously I've been using GifCam, but it doesn't play well with my retina display, so I had to come up with something. There's strong options for Mac but no good free options for Windows.

I can use the native Windows snipping tool to record my screen, but I'm unable to save the recording as a gif, resulting in pretty big MP4 files. I don't want that. So I created this little script that can convert the recorded MP4 file to GIF for a great reduction in file size.

Installation

1. Install ffmpeg from www.ffmpeg.org
2. Update the path to ffmpeg in the bat file

ahallora

export class LambdaCacheController {
    constructor() {
        this.value = null;
        this.timestamp = null;
        this.ttl = 3000000; // default 5 minutes
    }

    async getValue() {
        return new Promise((resolve, reject) => {
            try {

ahallora

import React, { ReactNode, useState } from "react";

type Experiment = {
  exposure: number;
  render: ({ success }: { success: any }) => any;
  name?: string;
};

enum TestEvent {
  "VIEW" = "View",

ahallora

export const decimalStringToCento = (decimalString: string): number => {
  // Replace comma with dot to make it a valid float
  const cleanedString = decimalString.replace(",", ".");

  // Parse the string as a floating-point number
  const floatValue = parseFloat(cleanedString);

  // Multiply by 100 to get the cento number
  const centoNumber = Math.round(floatValue * 100);

ahallora

const parseCSVLine = (line: string): string[] => {
  const parts = line.split(",");
  const result: string[] = [];

  parts.reduce(
    (accumulator, currentPart) => {
      if (!accumulator.insideQuotes) {
        if (currentPart.startsWith('"') && currentPart.endsWith('"')) {
          // Handle the case when the value is enclosed in double quotes
          result.push(currentPart.slice(1, -1));

ahallora

/*
HOW TO USE:

import React from "react";
import useScrollableMask from "./useScrollableMask";

const Example = () => {
  const { scrollDiv, scrollDivStyles } = useScrollableMask();

  return (

ahallora

import { useState, useEffect } from "react";

export const useAudioContext = () => {
  const [audioContext, setAudioContext] = useState(null);
  const [currentSourceNode, setCurrentSourceNode] = useState(null);
  const [gainNode, setGainNode] = useState(null);

  useEffect(() => {
    const context = new AudioContext();
    setAudioContext(context);

ahallora

"use client";
import { useForm } from "react-hook-form";
import { useEffect } from "react";

const AdvancedForm = () => {
  const { register, handleSubmit, setValue, watch } = useForm();
  const watchedValues = watch();

  // Function to update the query string
  const updateQueryString = () => {

ahallora

Making LocalAI and StableDiffusion work on Ubuntu (via WSL2)

Prerequisites:

• Docker running
• nvidia-smi running

Print out the GPUs available in docker:

docker run -it --rm --gpus all ubuntu nvidia-smi -L