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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
vivekhaldar / summary_claude_3_opus.json
Created March 5, 2024 06:55
Podcast summary: Claude 3 Opus
{
"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
vivekhaldar / summary_gpt_4_turbo.json
Created March 5, 2024 06:57
Podcast summary produced by GPT-4-Turbo
{
"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": [

Product Specification: Automatic Time Tracking by Watching Computer Screen

1. Overview

Goal

The objective of this software is to automatically measure and analyze how time is spent on a computer by periodically capturing screenshots, using a vision-based language model (LLM) to describe the content, and summarizing the results to generate a high-level report of time allocation across applications and tasks.

Use Case

Software Design Document

1. Introduction

This document describes a command-line Python application for Automatic Time Tracking by Watching Computer Screen. The application periodically captures screenshots on macOS, processes them using a vision-based language model, and generates time-tracking reports.

The design covers:

  • Overall architecture
  • System components
  • Data flows
  • Implementation details