Merge pull request #947 from pipecat-ai/mb/add-rime-set-voices

Add setters for model and voice to RimeHttpTTSService

CHANGELOG.md

@@ -13,12 +13,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - Added `29-livekit-audio-chat.py`, as a new foundational examples for
   `LiveKitTransportLayer`.
+
 - Added `enable_prejoin_ui`, `max_participants` and `start_video_off` params
   to `DailyRoomProperties`.
+
 - Added `session_timeout` to `FastAPIWebsocketTransport` and `WebsocketServerTransport`
   for configuring session timeouts (in seconds). Triggers `on_session_timeout` for custom timeout handling.
   See [examples/websocket-server/bot.py](https://github.com/pipecat-ai/pipecat/blob/main/examples/websocket-server/bot.py).
+
 - Added the new modalities option and helper function to set Gemini output modalities.
+
 - Added `examples/foundational/26d-gemini-multimodal-live-text.py` which is using Gemini as TEXT modality and using another TTS provider for TTS process.
 
 ### Changed
@@ -32,6 +36,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fixed an issue where `OpenAIRealtimeBetaLLMService` audio chunks were hitting
   an error when truncating audio content.
 
+- Fixed an issue where setting the voice and model for `RimeHttpTTSService` wasn't working.
+
 ## [0.0.52] - 2024-12-24
 
 ### Added

src/pipecat/services/rime.py

@@ -43,14 +43,14 @@ def __init__(
         self._api_key = api_key
         self._base_url = "https://users.rime.ai/v1/rime-tts"
         self._settings = {
-            "speaker": voice_id,
-            "modelId": model,
             "samplingRate": sample_rate,
             "speedAlpha": params.speed_alpha,
             "reduceLatency": params.reduce_latency,
             "pauseBetweenBrackets": params.pause_between_brackets,
             "phonemizeBetweenBrackets": params.phonemize_between_brackets,
         }
+        self.set_voice(voice_id)
+        self.set_model_name(model)
 
         if params.inline_speed_alpha:
             self._settings["inlineSpeedAlpha"] = params.inline_speed_alpha
@@ -69,6 +69,8 @@ async def run_tts(self, text: str) -> AsyncGenerator[Frame, None]:
 
         payload = self._settings.copy()
         payload["text"] = text
+        payload["speaker"] = self._voice_id
+        payload["modelId"] = self._model_name
 
         try:
             await self.start_ttfb_metrics()