octimot / StoryToolkitAI

An editing tool that uses AI to transcribe, understand content and search for anything in your footage, integrated with ChatGPT and other AI models
GNU General Public License v3.0
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Speaker Detection Keeps Failing #187

Open GypsyAcidQueen opened 4 months ago

GypsyAcidQueen commented 4 months ago

When I try to run speaker detection in v 0.24, I get this error

ERROR: Unable to execute task <bound method ToolkitOps.speaker_detection of <storytoolkitai.core.toolkit_ops.toolkit_ops.ToolkitOps object at 0x000001F43005AD70>> for queue item TranslationofLiJingQiA.wav(SpeakerDetection)-1721905998.6038613 Traceback (most recent call last): File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\processing_queue.py", line 739, in execute_item_tasks kwargs = task({kwargs, **item}) File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\toolkit_ops.py", line 1502, in speaker_detection for resulting_segments, speaker_embeddings in detect_speaker_changes( File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\speaker_diarization.py", line 101, in detect_speaker_changes model = PretrainedSpeakerEmbedding("speechbrain/spkrec-ecapa-voxceleb", device=torch.device(torch_device)) File "E:\StoryToolkitAI\venv\lib\site-packages\pyannote\audio\pipelines\speaker_verification.py", line 754, in PretrainedSpeakerEmbedding return SpeechBrainPretrainedSpeakerEmbedding( File "E:\StoryToolkitAI\venv\lib\site-packages\pyannote\audio\pipelines\speakerverification.py", line 260, in init self.classifier = SpeechBrain_EncoderClassifier.from_hparams( File "E:\StoryToolkitAI\venv\lib\site-packages\speechbrain\pretrained\interfaces.py", line 467, in from_hparams hparams_local_path = fetch( File "E:\StoryToolkitAI\venv\lib\site-packages\speechbrain\pretrained\fetching.py", line 181, in fetch destination.symlink_to(sourcepath) File "C:\Users\Alex\AppData\Local\Programs\Python\Python310\lib\pathlib.py", line 1255, in symlink_to self._accessor.symlink(target, self, target_is_directory) OSError: [WinError 1314] A required privilege is not held by the client: 'C:\Users\Alex\.cache\huggingface\hub\models--speechbrain--spkrec-ecapa-voxceleb\snapshots\eac27266f68caa806381260bd44ace38b136c76a\hyperparams.yaml' -> 'C:\Users\Alex\.cache\torch\pyannote\speechbrain\hyperparams.yaml'

GypsyAcidQueen commented 4 months ago

Update: it works fine in CMD with administrator privileges

GypsyAcidQueen commented 4 months ago

Update: HOWEVER, group questions is throwing this error regardless of whether the CMD has administrator privileges or not.

ERROR: Unable to execute task <bound method ToolkitOps.group_questions of <storytoolkitai.core.toolkit_ops.toolkit_ops.ToolkitOps object at 0x00000189570B2920>> for queue item TranslationofLiJingQiA.wav(GroupQuestions)-1721907363.7646039 Traceback (most recent call last): File "E:\StoryToolkitAI\venv\lib\site-packages\transformers\utils\hub.py", line 402, in cached_file resolved_file = hf_hub_download( File "E:\StoryToolkitAI\venv\lib\site-packages\huggingface_hub\utils_deprecation.py", line 101, in inner_f return f(*args, **kwargs) File "E:\StoryToolkitAI\venv\lib\site-packages\huggingface_hub\utils_validators.py", line 106, in inner_fn validate_repo_id(arg_value) File "E:\StoryToolkitAI\venv\lib\site-packages\huggingface_hub\utils_validators.py", line 160, in validate_repo_id raise HFValidationError( huggingface_hub.errors.HFValidationError: Repo id must use alphanumeric chars or '-', '', '.', '--' and '..' are forbidden, '-' and '.' cannot start or end the name, max length is 96: ''.

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\processing_queue.py", line 739, in execute_item_tasks kwargs = task({kwargs, **item}) File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\toolkit_ops.py", line 2491, in group_questions classified_question_segments = self.classify_segments( File "E:\StoryToolkitAI\StoryToolkitAI\storytoolkitai..\storytoolkitai\core\toolkit_ops\toolkit_ops.py", line 2305, in classify_segments classifier = pipeline('zero-shot-classification', File "E:\StoryToolkitAI\venv\lib\site-packages\transformers\pipelinesinit.py", line 768, in pipeline resolved_config_file = cached_file( File "E:\StoryToolkitAI\venv\lib\site-packages\transformers\utils\hub.py", line 466, in cached_file raise EnvironmentError( OSError: Incorrect path_or_model_id: ''. Please provide either the path to a local folder or the repo_id of a model on the Hub.