added app message
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@@ -26,7 +26,8 @@ logger.setLevel(logging.DEBUG)
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"""
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This example looks a bit different than the chatbot example, because it isn't waiting on the user to stop talking to start translating.
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It also isn't saving what the user or bot says into the context object for use in subsequent interactions.
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It also isn't saving what the user or bot says into the context object for use in subsequent interactions. This example also sends
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the translated text back to the transport as an App Message, so clients can show subtitles.
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"""
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@@ -50,6 +51,20 @@ class TranslationProcessor(FrameProcessor):
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yield frame
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class TranslationSubtitles(FrameProcessor):
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def __init__(self, language):
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self._language = language
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async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
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if isinstance(frame, TextFrame):
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app_message = {
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"language": self._language,
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"text": frame.text
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}
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else:
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yield frame
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async def main(room_url: str, token):
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async with aiohttp.ClientSession() as session:
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transport = DailyTransportService(
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@@ -73,7 +88,8 @@ async def main(room_url: str, token):
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model="gpt-4-turbo-preview")
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sa = SentenceAggregator()
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tp = TranslationProcessor("Spanish")
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pipeline = Pipeline([sa, tp, llm, tts])
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ts = TranslationSubtitles("Spanish")
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pipeline = Pipeline([sa, tp, llm, tts, ts])
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transport.transcription_settings["extra"]["endpointing"] = True
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transport.transcription_settings["extra"]["punctuate"] = True
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