Add subtify image as image gradio block

Download subtify logo from web

Add to forntend social media icons, h1 and subtify logo

Rename variables and functions into app.py to make code easyer to read

Add delete buton

Add transcription concatenated progress

Change frontend

Change UI

Add subtitles

Add translation

Change transcribe compute to float32

Import numpy at first

Add all folders before coding

Create folders chuncks and vocals if they not exist

Uncomment transcription in code and transformers into requirements.txt

Add pytube again into requirements.txt to get the thumbnail of the youtube video

Change to yt-dlp to download youtube videos

Uncomment all code

Get python version

Add protobuf and opencv-python to requirements.txt

Add whisperx to requirements.txt

Add pytube and twitch-dl to requirements.txt

Remove app.py and rename subtify.py to app.py

Un comment argparse import

Comment all code

Comment all to try to build into hugging face step by step

First version of UI

Fix bugs

Adding icons

Translate big blocks of text to get more context

Create script to add subtitles to video

Fix bug into translate_transcriptions

Add progress bar to translate trasnlations script

Add progress bar to concatenate transcriptions script

Add progress bar to transcribe script

Add progress bar to slicing audios script

Add progress bar to download script

Finish concatenate transcriptions script

Change transcription to fp16, and read if vocals separation is made into another script, if yes it doesn't separe vocals, if no it separe vocals

If twitch video has 1080p or 720p quality add 60 to quality string

transcribe with whisperx

Add pyannote.audio to requirements

Add whisperx to requirements

Manage files into transcribe.py

Into separe_vocals.py set modelscope and speechbrain methods

Add libraries for speechbrain to requirements

Add draft jupyter notebooks and audio_cacahe folder to gitignore

Script for translate concatenate transcription file and languajes list

Add libraries for translate into requirements.txt

Script for concatenate chunck transcriptions into one file