Comments (10)
This is the entire error message I got in the end.
`/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/pyannote/audio/core/io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
torchaudio.set_audio_backend("soundfile")
Traceback (most recent call last):
File "/Users/myself/workspaces/whisper-diarization/diarize.py", line 3, in
from helpers import *
File "/Users/myself/workspaces/whisper-diarization/helpers.py", line 7, in
from whisperx.alignment import DEFAULT_ALIGN_MODELS_HF, DEFAULT_ALIGN_MODELS_TORCH
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/whisperx/init.py", line 1, in
from .transcribe import load_model
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/whisperx/transcribe.py", line 10, in
from .asr import load_model
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/whisperx/asr.py", line 13, in
from .vad import load_vad_model, merge_chunks
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/whisperx/vad.py", line 11, in
from pyannote.audio.pipelines import VoiceActivityDetection
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/pyannote/audio/pipelines/init.py", line 26, in
from .speaker_diarization import SpeakerDiarization
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/pyannote/audio/pipelines/speaker_diarization.py", line 42, in
from pyannote.audio.pipelines.speaker_verification import PretrainedSpeakerEmbedding
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/pyannote/audio/pipelines/speaker_verification.py", line 56, in
from nemo.collections.asr.models import (
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/asr/init.py", line 15, in
from nemo.collections.asr import data, losses, models, modules
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/asr/models/init.py", line 36, in
from nemo.collections.asr.models.transformer_bpe_models import EncDecTransfModelBPE
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/asr/models/transformer_bpe_models.py", line 52, in
from nemo.collections.nlp.modules.common import TokenClassifier
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/nlp/init.py", line 15, in
from nemo.collections.nlp import data, losses, models, modules
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/nlp/models/init.py", line 31, in
from nemo.collections.nlp.models.machine_translation import MTEncDecModel
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/nlp/models/machine_translation/init.py", line 15, in
from nemo.collections.nlp.models.machine_translation.mt_enc_dec_bottleneck_model import MTBottleneckModel
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/nlp/models/machine_translation/mt_enc_dec_bottleneck_model.py", line 23, in
from nemo.collections.nlp.models.machine_translation.mt_enc_dec_model import MTEncDecModel
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/nlp/models/machine_translation/mt_enc_dec_model.py", line 38, in
from nemo.collections.common.tokenizers.chinese_tokenizers import ChineseProcessor
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/nemo/collections/common/tokenizers/chinese_tokenizers.py", line 38, in
import opencc
File "/Users/myself/workspaces/whisper-diarization/venv/lib/python3.10/site-packages/opencc.py", line 24, in
libopencc = CDLL('libopencc.so.1', use_errno=True)
File "/opt/homebrew/Cellar/[email protected]/3.10.14/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ctypes/init.py", line 374, in init
self._handle = _dlopen(self._name, mode)
OSError: dlopen(libopencc.so.1, 0x0006): tried: 'libopencc.so.1' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibopencc.so.1' (no such file), '/opt/homebrew/lib/libopencc.so.1' (no such file), '/System/Volumes/Preboot/Cryptexes/OS/opt/homebrew/lib/libopencc.so.1' (no such file), '/usr/lib/libopencc.so.1' (no such file, not in dyld cache), 'libopencc.so.1' (no such file)`
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Same
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Related Issues (20)
- Issue with an audio/video file HOT 1
- Numpy Conflict - current requirements.txt HOT 2
- Is this repo usable for a production use case!! HOT 7
- Error in diarization
- Installing from requirements.txt leads to the installation of ?every version of the packages needed HOT 7
- Audio only part time transcribed and each time a different one? HOT 3
- faster-whisper branch/revision has changed HOT 3
- diarize.py unexpected keyword argument ‘max_new_tokens’ HOT 4
- Error: got an unexpected keyword argument 'max_new_tokens' HOT 2
- AssertionError: chunk size too large, text got clipped HOT 2
- Language param not working HOT 2
- install issue HOT 1
- WhisperX forced alignment HOT 1
- How to use Yaml File HOT 1
- word_timestamps - IndexError: list index out of range HOT 1
- Transcription for non-verbal/non-speech labels(laughter etc.)? HOT 3
- Any suggestions for improving speaker diarization!! HOT 3
- Install fails on Python 3.12 due to missing distutils HOT 5
- python version it best works in ?????? HOT 1
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