fix: Update PyTorch/torchaudio to 2.1.0 for SpeechBrain 1.0 diarization compatibility

- 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

requirements.txt

@@ -6,14 +6,15 @@ openai-whisper==20231117
 requests>=2.28.0
 humanize>=4.6.0
 
-# PyTorch ecosystem - pinned for compatibility
-torch==2.0.1
-torchaudio==2.0.2
-torchvision==0.15.2
+# PyTorch ecosystem - updated for SpeechBrain 1.0 compatibility
+# torchaudio >= 2.1.0 is REQUIRED for diarization to work properly
+torch==2.1.0
+torchaudio==2.1.0
+torchvision==0.16.0
 
 # Transformers ecosystem - compatible versions
-transformers==4.30.2
-tokenizers==0.13.3
+transformers==4.35.0
+tokenizers>=0.14.0
 
 # ML dependencies with compatible versions
 numpy==1.24.3
@@ -21,12 +22,14 @@ scipy==1.10.1
 scikit-learn==1.3.0
 
 # Audio processing and ML models
+# Pin speechbrain for stability with pyannote.audio
+speechbrain==1.0.0
 pyannote.audio==3.1.1
-pytorch-lightning==2.0.6
+pytorch-lightning==2.1.0
 
 # Other dependencies
 iso639>=0.1.4
-protobuf>=3.20.0,<4.0.0
+protobuf>=3.20.0,<5.0.0
 matplotlib>=3.5.0
 soundfile>=0.10.3
 ffmpeg-python>=0.2.0