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Update some more services to ensure that there are no un-initialized fields in self._settings

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This commit is contained in:
Paul Kompfner
2026-02-24 12:00:23 -05:00
parent 8c9ccf8f82
commit 0a89d24f70
2 changed files with 8 additions and 5 deletions
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1
src/pipecat/services/resembleai/tts.py
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@@ -102,6 +102,7 @@ class ResembleAITTSService(AudioContextTTSService):
self._settings = ResembleAITTSSettings( self._settings = ResembleAITTSSettings(
model=None, model=None,
voice=voice_id, voice=voice_id,
language=None,
precision=precision, precision=precision,
output_format=output_format, output_format=output_format,
resemble_sample_rate=sample_rate, resemble_sample_rate=sample_rate,

12
src/pipecat/services/sarvam/tts.py
View File

@@ -42,7 +42,7 @@ import base64
import json import json
from dataclasses import dataclass, field from dataclasses import dataclass, field
from enum import Enum from enum import Enum
from typing import Any, AsyncGenerator, Dict, List, Optional, Tuple from typing import Any, AsyncGenerator, ClassVar, Dict, List, Optional, Tuple
import aiohttp import aiohttp
from loguru import logger from loguru import logger
@@ -280,7 +280,8 @@ class SarvamTTSSettings(TTSSettings):
"""Settings for Sarvam WebSocket TTS service. """Settings for Sarvam WebSocket TTS service.
Parameters: Parameters:
target_language_code: Sarvam language code. language: Sarvam language code (e.g. ``"hi-IN"``). Uses the standard
``TTSSettings.language`` field.
speech_sample_rate: Audio sample rate as string. speech_sample_rate: Audio sample rate as string.
enable_preprocessing: Enable text preprocessing. Defaults to False. enable_preprocessing: Enable text preprocessing. Defaults to False.
**Note:** Always enabled for bulbul:v3-beta. **Note:** Always enabled for bulbul:v3-beta.
@@ -304,7 +305,8 @@ class SarvamTTSSettings(TTSSettings):
**Note:** Only supported for bulbul:v3-beta. Ignored for v2. **Note:** Only supported for bulbul:v3-beta. Ignored for v2.
""" """
target_language_code: str | None | _NotGiven = field(default_factory=lambda: NOT_GIVEN) _aliases: ClassVar[Dict[str, str]] = {"target_language_code": "language"}
speech_sample_rate: str | _NotGiven = field(default_factory=lambda: NOT_GIVEN) speech_sample_rate: str | _NotGiven = field(default_factory=lambda: NOT_GIVEN)
enable_preprocessing: bool | None | _NotGiven = field(default_factory=lambda: NOT_GIVEN) enable_preprocessing: bool | None | _NotGiven = field(default_factory=lambda: NOT_GIVEN)
min_buffer_size: int | None | _NotGiven = field(default_factory=lambda: NOT_GIVEN) min_buffer_size: int | None | _NotGiven = field(default_factory=lambda: NOT_GIVEN)
@@ -840,7 +842,7 @@ class SarvamTTSService(InterruptibleTTSService):
# Build base settings # Build base settings
self._settings = SarvamTTSSettings( self._settings = SarvamTTSSettings(
target_language_code=( language=(
self.language_to_service_language(params.language) if params.language else "en-IN" self.language_to_service_language(params.language) if params.language else "en-IN"
), ),
speech_sample_rate=str(sample_rate), speech_sample_rate=str(sample_rate),
@@ -1022,7 +1024,7 @@ class SarvamTTSService(InterruptibleTTSService):
raise Exception("WebSocket not connected") raise Exception("WebSocket not connected")
# Build config dict for the API # Build config dict for the API
config_data = { config_data = {
"target_language_code": self._settings.target_language_code, "target_language_code": self._settings.language,
"speaker": self._settings.voice, "speaker": self._settings.voice,
"speech_sample_rate": self._settings.speech_sample_rate, "speech_sample_rate": self._settings.speech_sample_rate,
"enable_preprocessing": self._settings.enable_preprocessing, "enable_preprocessing": self._settings.enable_preprocessing,