youtube-transcript-api VS pytube

no whisper involced. https://github.com/jdepoix/youtube-transcript-api

Get the transcript of a Youtube video using the URL from the youtube transcript api.

> What are the parts of the brain that become de-synchronized in the ADHD brain?

>> The default mode network and the task networks become de-synchronized in the ADHD brain.

> What are the three parts of the brain that become de-synchronized in the ADHD brain?

>> The default mode network, the task networks, and the dopamine circuits.

From https://youtu.be/hFL6qRIJZ_Y?t=1714:

> An area called the dorsolateral prefrontal cortex ... the posterior cingulate cortex, and ... the lateral parietal lobe ... these are three brain areas that normally are synchronized in their activities ... that's how it is in a typical person. In a person with ADHD ... these brain areas are not playing well with each other.

I wonder if part of the problem might be the usage of text to speech. Did you consider scraping the transcriptions instead? e.g. with https://github.com/jdepoix/youtube-transcript-api

from what I can make out, it's using a python api behind the scenes but it's hard-coded to use english. The site you linked seems to be using the Youtube api, so maybe this is something you can do with your own youtube API key?

Then in the virtual environment pip install pytube, this is the documentation if you are interested.

This is a known issue, likely started by something on YouTube's end.

Pytube was used for YouTube video download logic.

$ python3 Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> from pytube import Search >>> s = Search('once in a lifetime talking heads'); >>> print('https://youtu.be/%s' % s.results[0].video_id) Unexpected renderer encountered. Renderer name: dict_keys(['reelShelfRenderer']) Search term: once in a lifetime talking heads Please open an issue at https://github.com/pytube/pytube/issues and provide this log output. https://youtu.be/5IsSpAOD6K8

If a transcript doesn’t exist, download the audio of the video as an mp3 file with Pytube and use our first ML model, OpenAI Whisper to transcribe

After all the parsing is done, we need to download videos from returned URLs using pytube. Here we only download audio with filter(only_audio=True) option as this is what we only need for transcript and defining output_path to create videos/ path with filename that was done at the parsing stage, i.e absolute filename.

pip install git+https://github.com/openai/whisper.git pip install git+https://github.com/pytube/pytube.git pip install pandas