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fix: Fixes for sample_rate being passed by PipelineParams

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shreyas-sarvam
2025-10-31 23:03:25 +05:30
parent 57f6ae9e50
commit 6c5d84ca4c
1 changed files with 0 additions and 4 deletions
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src/pipecat/services/sarvam/stt.py
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@@ -76,7 +76,6 @@ class SarvamSTTService(STTService):
language: Target language for transcription. Defaults to None (required for saarika models). language: Target language for transcription. Defaults to None (required for saarika models).
prompt: Optional prompt to guide translation style/context for STT-Translate models. prompt: Optional prompt to guide translation style/context for STT-Translate models.
Only applicable to saaras (STT-Translate) models. Defaults to None. Only applicable to saaras (STT-Translate) models. Defaults to None.
sample_rate: Audio sample rate in Hz. Overrides the parent sample_rate if provided.
vad_signals: Enable VAD signals in response. Defaults to True. vad_signals: Enable VAD signals in response. Defaults to True.
high_vad_sensitivity: Enable high VAD (Voice Activity Detection) sensitivity. Defaults to False. high_vad_sensitivity: Enable high VAD (Voice Activity Detection) sensitivity. Defaults to False.
input_audio_codec: Audio codec/format of the input file. Defaults to "wav". input_audio_codec: Audio codec/format of the input file. Defaults to "wav".
@@ -84,7 +83,6 @@ class SarvamSTTService(STTService):
language: Optional[Language] = None language: Optional[Language] = None
prompt: Optional[str] = None prompt: Optional[str] = None
sample_rate: Optional[int] = None
vad_signals: bool = True vad_signals: bool = True
high_vad_sensitivity: bool = False high_vad_sensitivity: bool = False
input_audio_codec: str = "wav" input_audio_codec: str = "wav"
@@ -125,8 +123,6 @@ class SarvamSTTService(STTService):
"Prompts are only supported for STT-Translate models" "Prompts are only supported for STT-Translate models"
) )
# Use sample_rate from params if provided, otherwise use the parameter
sample_rate = params.sample_rate if params.sample_rate is not None else sample_rate
super().__init__(sample_rate=sample_rate, **kwargs) super().__init__(sample_rate=sample_rate, **kwargs)
self.set_model_name(model) self.set_model_name(model)