api key error

[kickaxe60]

I've installed both through pip and local and anytime I run "lyrics-transcriber /path/to/your/audiofile.mp3" I get "openai.OpenAIError: The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable" so not sure why as I'm not using Genius. Any help appreciated.

[kickaxe60]

OK, i fixed the api_key issue but now I'm getting openai.NotFoundError: Error code: 404 - {'error': {'message': 'The model gpt-4-1106-preview does not exist or you do not have access to it. Learn more: https://help.openai.com/en/articles/7102672-how-can-i-access-gpt-4.', 'type': 'invalid_request_error', 'param': None, 'code': 'model_not_found'}}. When I look at the help document listed, it looks like we need a paid chatgpt subscription. Is that the case or am I missing something? Also, is a Genius api key or spotify cookie required? Can I provide my own lyrics txt file? This looks cool but I'm lacking the info I need to get it going. I am a bit of a noob but I think I'm getting pretty close. I don't think this is just a matter of "pip install lyrics-transcriber" and then "lyrics-transcriber /path/to/your/audiofile.mp3". I suspect there is a bit more setup required. If you could point me in the right direction, I would really appreciate that. Regards...

[beveradb]

Hey, thanks for trying it out - sorry for the bad experience, you're totally right, I haven't updated the README since adding more functionality recently. I'll fix that later today when I get some hobby time.

What are you trying to achieve, though?
I should warn you, this project is still very much a work in progress; the challenge of syncing the words with the audio is an unsolved one which I've been trying to solve using a combo of Whisper transcription, then prompting GPT-4 for each segment to try and get it to correct the transcribed lyrics using the known lyrics from Spotify, Genius, etc.

Some explanation in this issue: #1
and this one: #2

The last version before I started doing the LLM-based correction work was October, if you want to try that older version - but as mentioned above, there's still more work to do to make this project generally useful to anyone!
https://github.com/karaokenerds/python-lyrics-transcriber/releases/tag/v0.8.0

[kickaxe60]

Hey thanks for responding Andrew. I'm also kind of a karaoke "nerd" and just looking for ways to automate some of the processes used to make decent "homemade" karaoke, strictly for personal use. Things have come a long way with software like Ultimate Vocal Remover 5 and The-Tuul. I can make a decent karaoke video in less than an hour with these tools. I came across your project and thought that it would be even better if I could quickly get an .ass file to work from as opposed to manually creating one with The-Tuul. Don't get me wrong, I love The-Tuul, but if I can expedite things, I will... There is also another online service called Croonify (croonify.com) which seems to automate the creation of the lyrics timings but you don't get anything back other than a finished video in about 10 minutes, so no insight as to what process is used. Although it is currently free, it will eventually be a paid service when they get the bugs ironed out. It's not perfect, but it's getting very close. Currently my process is to get a decent instrumental, lead vocal, and sometimes a fairly good backing vocal track from UVR5 using a good quality audio file (if you have any insight as how to get a good solid backing vocal only track let me know as sometimes it's hit or miss.) I then use the .ass file I get from The-Tuul to tweak as required and reformat it with a python script to display the lyrics the way I want them to appear on-screen and then use ffmpeg to create the video using the .ass file with the three audio sources to different channels. I can then play the video with the MPV media player with a lua script to bind keys to control pitch, speed changes, volume of tracks 1, 2, and/or 3 (kinda like the Karafun player). It all works well, but I'm always looking for ways to improve. Anyway, I'll keep an eye this to see where it goes. Take care.

[porg]

• I also ran the newest v0.13.1 as $ lyrics-transcriber /path/to/your/audiofile.mp3 which supposedly works offline as it performs no Spotify/Genius lookup and LLM correlation processing, and wondered why it failed with the lack of an OpenAI API key.
• Read through this issue here, and saw the comment stating that v0.8.0 is the last version which works without LLM.
• Could you please revise your code and your arguments so that one can run it in two different modes:
  1. speech to text recognition, runs fine also without API key,
  2. and then post process by correlating with lyrics databases, requires API key.
• Managed to downgrade to v0.8.0 by pipx uninstall lyrics-transcriber followed by pipx install lyrics-transcriber==0.8.0 and then could successfully run it. 🙂
  • 👍 Amazingly good results, see my report.