Create an OpenAI Video To Text Transcriber App With Tkinter

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Create an OpenAI Video To Text Transcriber App With Tkinter (Size: 2 GB)
  0 87.9 KB
  001 Bonus Lecture.mp4 92 MB
  001 Create An SSH Key.mp4 58 MB
  001 Create The Main Text Box Widget.mp4 74.8 MB
  001 Introduction to OpenAI.mp4 115.1 MB
  001 Introduction.mp4 99.8 MB
  002 Add SSH Key To Github Account.mp4 23.2 MB
  002 Add a Frame and Buttons.mp4 151.3 MB
  002 Install Python.mp4 39.6 MB
  002 Transcribe VideoAudio File Using OpenAI.mp4 155.9 MB
  003 Copy Text To Clipboard.mp4 76.6 MB
  003 Install Sublime Text and Git Bash Terminal.mp4 59.2 MB
  003 Open File Dialog Box.mp4 92.6 MB
  003 Push Code To Github.mp4 124.2 MB
  004 Create a Virtual Environment.mp4 81.1 MB
  004 Get The Video Info.mp4 120.1 MB
  004 Save Transcribed Text A To Text File.mp4 101.8 MB
  005 Install Libraries.mp4 85.7 MB
  005 Save AS Dialog Box.mp4 93.4 MB
  006 Convert Video to Audio MP3 File.mp4 98.8 MB
  006 Create App Framework.mp4 124.1 MB
  007 Check For Less Than 25mb File Size.mp4 118.3 MB
  008 Clear The Screen.mp4 79.9 MB
  TutsNode.net.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
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  ▲ 45 total files

Description


Description

In this course we’ll build a cool GUI app using Python and Tkinter (and ttkbootstrap the modern looking Tkinter library) that connects to the OpenAI Whisper-1 Model to convert video to text.

You’ll be surprised just how quickly you can create some pretty cool looking apps that are powered by state of the art Artificial Intelligence!!

OpenAI is the maker of ChatGPT, and their Whisper-1 model allows you to upload video or audio files to their artificial intelligence model, and have it convert those files to text transcriptions!

We’ll discuss how to connect to OpenAI with an API Key, query the engine, and parse the responses in the correct way.

We’ll use the TTKBootstrap library for Python and Tkinter that will allow our app to look very cool and modern (compared to stodgy old looking Tkinter). You don’t need any experience with Tkinter or TTKBootstrap to take this course, I’ll walk you through it all very easily.

We won’t dive into TTKBootstrap in great detail in this course, we’ll just use bits of it here and there to make our app look more modern. So if you have no experience with TTKBootstrap (or Tkinter at all), you won’t have any trouble following along; I’ll walk you through it step by step!

Why would you want to build an app that transcribes video? TONS of reasons! Maybe you want to convert your video to text and make blog posts out of them, or social media posts, or just offer better closed captioning text on the videos you post online. There’s a ton of reason to use this, and it’s also just really fun to learn!
Who this course is for:

This course is geared towards anyone who’s interested in programming API’s from Open AI.
This course is aimed towards beginers through intermediate Coders who want to learn the to build Apps With TKinter and Python

Requirements

No special tools are necessary to take this course
A Basic Understanding of Python and TKinter Is Helpful

Last Updated 5/2023

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