vivekhaldar

{
  "sections": [
    {
      "title": "Introduction and Utility of ChatGPT",
      "summary": [
        "The use of ChatGPT has significantly impacted the guest's personal and professional life, offering assistance in learning languages, understanding complex topics, and enhancing travel experiences.",
        "ChatGPT can act as a universal translator, providing assistance with menu selection in foreign countries and helping identify unknown plants or animals.",
        "The tool is seen as an integral part of life, deeply intertwined with the user's ability to work efficiently and learn new information."
      ],
      "quotes": [

vivekhaldar

{
  "sections": [
    {
      "title": "Tyler Cowen's use of ChatGPT",
      "summary": [
        "Uses ChatGPT on iPhone as a universal translator when traveling in foreign countries",
        "Uses it to read menus, identify plants and animals, and get recommendations",
        "On laptop, uses it to learn about obscure history and get background context for interviews",
        "Asks follow-up questions to probe deeper and fact-check potential hallucinations"
      ],

vivekhaldar

import os
from time import sleep
from openai import OpenAI

client = OpenAI(
    # defaults to 
    api_key=os.environ.get("OPENAI_API_KEY"),
)

# Step 1: Create an Assistant

vivekhaldar

;; emacs-gpt.el -- Control Emacs via ChatGPT
;;
;; Basic idea: take natural language input from user, ask ChatGPT for
;; corresponding elisp, run it.


(defun mark-between-assistant-and-user ()
  "Mark the region between \"%assistant%\" and \"%user%\", not including those strings."
  (interactive)
  (goto-char (point-min))

vivekhaldar

#!/usr/bin/env python3
#
# Takes a chat transcript (for ChatGPT) on stdin, calls the OpenAI
# ChatGPT API, and prints the response on stdout.
#
# Your OpenAI API key must be set in the environment variable
# OPENAI_API_KEY.
#
# Logs are written to ~/chat.log.

vivekhaldar

;; Emacs Lisp wrapper around Python scripts for ChatGPT.
;;
;; Basic idea is to send buffer as stdin to Python script.

(defvar gpt-script "/Users/haldar/haskell/gpt_turbo/chat.py")

(defun vh/invoke-chat ()
  "Send contents of current buffer as stdin to command, then append output to current buffer."
  (interactive)
  (let*

vivekhaldar

devenv.sh:

{ pkgs, ... }:

{
  env.GREET = "Python-based dev env for copy-pics";

  languages.python = {
    enable = true;
    poetry.enable = true;

vivekhaldar

#!/usr/bin/env python3
import whisper
import sys
import string
import math
from stable_whisper import modify_model
from stable_whisper import stabilize_timestamps
from stable_whisper import results_to_word_srt
from stable_whisper import results_to_word_srt
from moviepy.editor import AudioClip, VideoFileClip, concatenate_videoclips

vivekhaldar

#!/usr/bin/env python

import math
import sys
from moviepy.editor import AudioClip, VideoFileClip, concatenate_videoclips



# Get average RGB of part of a frame. Frame is H * W * 3 (rgb)
# Assumes x1 < x2, y1 < y2

vivekhaldar

#!/usr/bin/env python
#
# Based on a script by Donald Feury
# https://gitlab.com/dak425/scripts/-/blob/master/trim_silenceV2
# https://youtu.be/ak52RXKfDw8

import math
import sys
import subprocess
import os