Error message

[SullyMan71]

Window size: 320 Model: HP2-4BAND-3090_4band_arch-500m_2 Parameter: 4band_44100 Aggressiveness: 0.09 High end process: mirroring2 TTA: True Deep Extraction: False

loading model... done stft of wave source... Traceback (most recent call last): File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 307, in main() File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 302, in main process.inference() File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 94, in inference X_spec_m, input_high_end_h, input_high_end = spec_utils.loadWave(self.input, mp, hep=self.hep) File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/lib/spec_utils.py", line 14, in loadWave X_wave[bandsn+1], = librosa.load( TypeError: load() takes 1 positional argument but 3 positional arguments (and 2 keyword-only arguments) were given Notebook took: 8.3s

[Yukinoshita-Yukinoe]

I'm facing the same issue, have you managed to solve it yet?

[maolex]

Facing the same issue on Google Colab:

with HP-4BAND-V2_arch-124m.pth loading model... done stft of wave source... Traceback (most recent call last): File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 307, in main() File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 293, in main multi_file(useModel, args.input) File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 244, in multi_file process.inference() File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/main.py", line 94, in inference X_spec_m, input_high_end_h, input_high_end = spec_utils.loadWave(self.input, mp, hep=self.hep) File "/content/drive/MyDrive/VocalRemover5-COLAB_arch/lib/spec_utils.py", line 14, in loadWave X_wave[bandsn+1], = librosa.load( TypeError: load() takes 1 positional argument but 3 positional arguments (and 2 keyword-only arguments) were given Notebook took: 32.9s

[SullyMan71]

A Google Colab update must've broken something.

[dviralfi]

Something to do with arguments that spec_utils.py is taking . can't really understand the code :\

[rodrigogithub1]

I was having the same problem, but found a solution on Discord (posted by Gosmokeless28)

Put !pip install librosa==0.9.1 in the audio separation cell of the UVR 5.2 Colab notebook

I did it and now it works. I had to copy the Colab project first, to be able to edit the code. Then I added a new code under the first cell (under the cell where you mount your GDrive account) and included the pip install code mentioned. Also, upon running the first cell, I checked the box "ForceUpdate", which I think pulls the latest version of the git project, I guess that's important too. It works!