- Remove torch/torchaudio/torchvision from requirements.txt (installed separately in Docker)
- Use >= instead of == for most packages to avoid version conflicts
- Install numpy before other requirements
- Add setuptools and wheel to pip upgrade step
- Don't pin exact torch/torchaudio/torchvision versions (use >=2.1.0)
- Install CUDA PyTorch first in Docker before other requirements
- Upgrade pip before installations to avoid compatibility issues
- Let pip resolve latest compatible versions from cu118 index
- Update torch from 2.0.1 to 2.1.0
- Update torchaudio from 2.0.2 to 2.1.0 (fixes 'NoneType' object has no attribute 'eval' error)
- Update torchvision from 0.15.2 to 0.16.0
- Update pytorch-lightning from 2.0.6 to 2.1.0
- Add explicit speechbrain==1.0.0 dependency
- Update transformers and tokenizers for compatibility
- Update protobuf version constraint
Fixes diarization error: speechbrain.pretrained was deprecated and redirected to speechbrain.inference in SpeechBrain 1.0, but required torchaudio >= 2.1.0
