Machine Learning with Python! Translating YouTube Subtitles

Tutorial on translating SRT caption files by applying machine learning models with Python. The captions can be uploaded to their corresponding YouTube videos.

The first Python function converts and MP3 file to text, converts the text to an SRT format and then translates the SRT captions to a specified language.

The second Python function converts an existing SRT caption file to a specified language.

The notebook can be found in the "Machine Learning" folder within the below repo.
GitHub Repo - https://github.com/ad17171717/YouTube-Tutorials/blob/main/Machine%20Learning%20with%20Python/Machine_Learning_with_Python!_Translating_YouTube_Subtitles.ipynb

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|-Video Chapters-|
0:00 - Intro
0:33 - Setting a GPU runtime in Google Colab
0:51 - Importing and Installing Python modules
0:59 - Reviewing the Fast Whisper and deep translator Modules
2:05 - SRT files for YouTube video captions
2:36 - Uploading an audio (MP3) file into Google Colab
2:54 - Checking available languages for deep translator
4:13 - Creating a Python Function to convert audio (MP3) Files to a converted caption (SRT) file
9:57 - Downloading the translated SRT file and uploading to a YouTube video
10:55 - Creating a Python Function to convert existing caption (SRT) files to another language
13:42 - References and additional learning

Видео Machine Learning with Python! Translating YouTube Subtitles канала Adrian Dolinay