Pin torchaudio dependency for pyannote.audio

Author: jordimas

Makefile

@@ -12,10 +12,8 @@ run:
 	pip3 install --force-reinstall .
 
 install-dependencies-e2e-tests:
-	echo ctranslate2==4.0.0 > constraints.txt
-	pip install --force-reinstall -c constraints.txt faster-whisper==1.2.0
-	echo numpy==1.26 > constraints.txt
-	pip install --force-reinstall -c constraints.txt pyannote.audio==3.3.1
+	pip install --force-reinstall faster-whisper==1.2.0 "ctranslate2==4.0.0"
+	pip install --force-reinstall "pyannote.audio<4.0.0" "torchaudio<2.9.0"
 
 run-e2e-tests:
 	CT2_USE_MKL="False" CT2_FORCE_CPU_ISA='GENERIC' KMP_DUPLICATE_LIB_OK="TRUE" nose2 -s e2e-tests

README.md

@@ -152,7 +152,7 @@ There is experimental diarization support using [`pyannote.audio`](https://githu
 
 To enable diarization you need to follow these steps:
 
-1. Install [`pyannote.audio`](https://github.com/pyannote/pyannote-audio) with `pip install pyannote.audio`
+1. Install [`pyannote.audio`](https://github.com/pyannote/pyannote-audio) with `pip install "pyannote.audio<4.0.0" "torchaudio<2.9.0"`
 2. Accept [`pyannote/segmentation-3.0`](https://hf.co/pyannote/segmentation-3.0) user conditions
 3. Accept [`pyannote/speaker-diarization-3.1`](https://hf.co/pyannote/speaker-diarization-3.1) user conditions
 4. Create an access token at [`hf.co/settings/tokens`](https://hf.co/settings/tokens).