LLMUserContextAggregator: add space between transcriptions
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@@ -287,7 +287,7 @@ class LLMUserContextAggregator(LLMContextResponseAggregator):
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await self.push_aggregation()
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async def _handle_transcription(self, frame: TranscriptionFrame):
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self._aggregation += frame.text
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self._aggregation += f" {frame.text}" if self._aggregation else frame.text
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# We just got a final result, so let's reset interim results.
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self._seen_interim_results = False
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# Reset aggregation timer.
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@@ -109,7 +109,7 @@ class BaseTestUserContextAggregator:
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aggregator = self.AGGREGATOR_CLASS(context)
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frames_to_send = [
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UserStartedSpeakingFrame(),
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TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
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TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
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InterimTranscriptionFrame(text="How ", user_id="cat", timestamp=""),
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SleepFrame(),
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UserStoppedSpeakingFrame(),
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@@ -271,7 +271,7 @@ class BaseTestUserContextAggregator:
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frames_to_send = [
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UserStartedSpeakingFrame(),
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UserStoppedSpeakingFrame(),
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TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
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TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
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TranscriptionFrame(text="How are you?", user_id="cat", timestamp=""),
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SleepFrame(sleep=AGGREGATION_SLEEP),
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]
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@@ -298,7 +298,7 @@ class BaseTestUserContextAggregator:
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InterimTranscriptionFrame(text="Hello ", user_id="cat", timestamp=""),
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SleepFrame(),
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UserStoppedSpeakingFrame(),
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TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
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TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
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InterimTranscriptionFrame(text="How ", user_id="cat", timestamp=""),
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TranscriptionFrame(text="How are you?", user_id="cat", timestamp=""),
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SleepFrame(sleep=AGGREGATION_SLEEP),
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