Add Deepgram Streaming Diarization #74
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Dec 18, 2025
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Looks good, just a few nits and good to merge
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| elif "model_timestamps_confirmed" in output and output["model_timestamps_confirmed"]: | ||
| # Fallback to regular transcription without speaker | ||
| for timestamp_group in output["model_timestamps_confirmed"]: | ||
| for word_info in timestamp_group: | ||
| if "word" in word_info: | ||
| words.append( | ||
| Word( | ||
| word=word_info.get("word", ""), | ||
| start=word_info.get("start"), | ||
| end=word_info.get("end"), | ||
| speaker=None, | ||
| ) | ||
| ) |
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Setting the speaker to None will likely cause an error downstream. I'd suggest raising an error in this case since the main reason speaker labels is the core info for Orchestration
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This PR adds the streaming diarization pipeline used for benchmarking. It currently supports the Deepgram Streaming API, with additional pipelines to be integrated in the future.