A.I. Video To Text Transcriber App with Python and Tkinter

Create the main text box widget in a Python Tkinter app to display video and audio information and OpenAI transcription results using a scrolled text widget.

Learn to build a Tkinter interface by placing six framed buttons for open, save mp3, copy text, save text, clear, and transcribe, using pack and grid with initial disabled states.

Define an open video function triggered by the open button, using a Tkinter file dialog to select mp4 video files and save the path for later use.

Learn to handle video file selection in a Python Tkinter app, display the file path and size in megabytes, and enable the mp3 save button for later conversion.

Add a save mp3 function and a save-as dialog to name and save the video as mp3 audio with a default mp3 extension.

Convert a video file to mp3 using moviepy, defining input and output paths, handling errors with a try-except block, and ensuring the mp3 is under 25 MB for OpenAI submission.

Check mp3 file size, convert to megabytes, and enable the transcribe button if under 25 MB, otherwise show an error in the python and tkinter ai video to text app.

Clear the screen by presenting a two-button confirmation dialog, delete all text upon confirmation, and disable the mp3 and transcribe buttons to prevent further input.

Learn how to set up an OpenAI account, obtain an API key, understand pricing and verification steps, and explore the platform's speech-to-text capabilities for building a transcriber app.

Learn to transcribe video or audio files using the OpenAI whisper-1 engine by configuring the API key, loading the audio file, and displaying the transcription in a Tkinter app.

Copy transcribed text to the clipboard in a Python Tkinter app by clearing the clipboard, appending the text box contents from start to end, and showing a success message.

Implement a save text feature in a Tkinter app to write the transcribed text to a .txt file using a save dialog, with default extension and a confirmation message.

Generate a secure ssh key to authenticate with GitHub, save it in the hidden .ssh directory, and copy the public key for GitHub integration.

Copy your SSH key, open GitHub settings, select SSH and GPG keys, click new SSH key, paste the key, and add it (you may be prompted for a password).

Push your code to GitHub by creating a repository, securing your SSH key, and running git add, commit, and push, with master renamed to main.

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