pytube VS atila-core-service

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

Yeah, that's in the roadmap! I've actually just created an issue for this based on your feedback. https://github.com/atilatech/atila-core-service/issues/9