_handle_transcription
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@@ -60,7 +60,7 @@ from pipecat.services.openai.llm import (
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from pipecat.transcriptions.language import Language
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from pipecat.utils.string import match_endofsentence
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from pipecat.utils.time import time_now_iso8601
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from pipecat.utils.tracing.service_decorators import traced_gemini_live
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from pipecat.utils.tracing.service_decorators import traced_multimodal_llm, traced_stt, traced_tts
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from . import events
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@@ -379,6 +379,7 @@ class GeminiMultimodalLiveLLMService(LLMService):
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self._last_transcription_sent = ""
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self._bot_audio_buffer = bytearray()
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self._bot_text_buffer = ""
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self._llm_output_buffer = ""
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self._sample_rate = 24000
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@@ -804,7 +805,7 @@ class GeminiMultimodalLiveLLMService(LLMService):
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)
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await self.send_client_event(evt)
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@traced_gemini_live(operation="tool_result")
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@traced_multimodal_llm(operation="tool_result")
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async def _tool_result(self, tool_result_message):
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# For now we're shoving the name into the tool_call_id field, so this
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# will work until we revisit that.
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@@ -829,7 +830,7 @@ class GeminiMultimodalLiveLLMService(LLMService):
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await self._websocket.send(response_message)
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# await self._websocket.send(json.dumps({"clientContent": {"turnComplete": True}}))
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@traced_gemini_live(operation="setup")
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@traced_multimodal_llm(operation="setup")
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async def _handle_evt_setup_complete(self, evt):
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# If this is our first context frame, run the LLM
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self._api_session_ready = True
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@@ -876,7 +877,7 @@ class GeminiMultimodalLiveLLMService(LLMService):
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)
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await self.push_frame(frame)
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@traced_gemini_live(operation="tool_call")
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@traced_multimodal_llm(operation="tool_call")
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async def _handle_evt_tool_call(self, evt):
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function_calls = evt.toolCall.functionCalls
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if not function_calls:
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@@ -891,10 +892,22 @@ class GeminiMultimodalLiveLLMService(LLMService):
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arguments=call.args,
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)
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@traced_tts
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async def _handle_bot_transcription(self, text: str):
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"""Handle a transcription result with tracing."""
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pass
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async def _handle_evt_turn_complete(self, evt):
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self._bot_is_speaking = False
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text = self._bot_text_buffer
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if text:
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# TEXT modality
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await self._handle_bot_transcription(text)
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else:
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# AUDIO modality
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await self._handle_bot_transcription(self._llm_output_buffer)
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self._bot_text_buffer = ""
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self._llm_output_buffer = ""
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# Only push the TTSStoppedFrame the bot is outputting audio
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# when text is found, modalities is set to TEXT and no audio
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@@ -904,7 +917,13 @@ class GeminiMultimodalLiveLLMService(LLMService):
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await self.push_frame(LLMFullResponseEndFrame())
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@traced_gemini_live(operation="input_transcription")
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@traced_stt
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async def _handle_user_transcription(
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self, transcript: str, is_final: bool, language: Optional[Language] = None
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):
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"""Handle a transcription result with tracing."""
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pass
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async def _handle_evt_input_transcription(self, evt):
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"""Handle the input transcription event.
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@@ -940,6 +959,9 @@ class GeminiMultimodalLiveLLMService(LLMService):
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# Send a TranscriptionFrame with the complete sentence
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logger.debug(f"[Transcription:user] [{complete_sentence}]")
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await self._handle_user_transcription(
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complete_sentence, True, self._settings["language"]
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)
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await self.push_frame(
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TranscriptionFrame(
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text=complete_sentence,
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@@ -950,7 +972,6 @@ class GeminiMultimodalLiveLLMService(LLMService):
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FrameDirection.UPSTREAM,
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)
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@traced_gemini_live(operation="output_transcription")
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async def _handle_evt_output_transcription(self, evt):
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if not evt.serverContent.outputTranscription:
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return
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@@ -963,10 +984,13 @@ class GeminiMultimodalLiveLLMService(LLMService):
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if not text:
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return
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# Collect text for tracing
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self._llm_output_buffer += text
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await self.push_frame(LLMTextFrame(text=text))
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await self.push_frame(TTSTextFrame(text=text))
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@traced_gemini_live(operation="usage_metadata")
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@traced_multimodal_llm(operation="usage_metadata")
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async def _handle_evt_usage_metadata(self, evt):
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if not evt.usageMetadata:
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return
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