Fixing lint.
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@@ -14,7 +14,7 @@ from pipecat.audio.turn.smart_turn.base_smart_turn import BaseSmartTurn
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try:
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try:
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import torch
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import torch
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from transformers import Wav2Vec2BertForSequenceClassification, AutoFeatureExtractor
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from transformers import AutoFeatureExtractor, Wav2Vec2BertForSequenceClassification
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except ModuleNotFoundError as e:
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except ModuleNotFoundError as e:
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logger.error(f"Exception: {e}")
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logger.error(f"Exception: {e}")
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logger.error(
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logger.error(
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@@ -33,7 +33,9 @@ class LocalSmartTurnAnalyzer(BaseSmartTurn):
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logger.debug("Loading Local Smart Turn model...")
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logger.debug("Loading Local Smart Turn model...")
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# Load the pretrained model for sequence classification
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# Load the pretrained model for sequence classification
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self._turn_model = Wav2Vec2BertForSequenceClassification.from_pretrained(smart_turn_model_path)
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self._turn_model = Wav2Vec2BertForSequenceClassification.from_pretrained(
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smart_turn_model_path
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)
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# Load the corresponding feature extractor for preprocessing audio
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# Load the corresponding feature extractor for preprocessing audio
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self._turn_processor = AutoFeatureExtractor.from_pretrained(smart_turn_model_path)
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self._turn_processor = AutoFeatureExtractor.from_pretrained(smart_turn_model_path)
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# Set device to GPU if available, else CPU
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# Set device to GPU if available, else CPU
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