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add diarization model list url
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@@ -240,8 +240,8 @@ WhisperLiveKit offers extensive configuration options:
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| `--warmup-file` | Audio file path for model warmup | `jfk.wav` |
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| `--ssl-certfile` | Path to the SSL certificate file (for HTTPS support) | `None` |
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| `--ssl-keyfile` | Path to the SSL private key file (for HTTPS support) | `None` |
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| `--segmentation-model` | Hugging Face model ID for pyannote.audio segmentation model | `pyannote/segmentation-3.0` |
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| `--embedding-model` | Hugging Face model ID for pyannote.audio embedding model | `speechbrain/spkrec-ecapa-voxceleb` |
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| `--segmentation-model` | Hugging Face model ID for pyannote.audio segmentation model. [Available models](https://github.com/juanmc2005/diart/tree/main?tab=readme-ov-file#pre-trained-models) | `pyannote/segmentation-3.0` |
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| `--embedding-model` | Hugging Face model ID for pyannote.audio embedding model. [Available models](https://github.com/juanmc2005/diart/tree/main?tab=readme-ov-file#pre-trained-models) | `speechbrain/spkrec-ecapa-voxceleb` |
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## 🔧 How It Works
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2
setup.py
2
setup.py
@@ -1,7 +1,7 @@
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from setuptools import setup, find_packages
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setup(
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name="whisperlivekit",
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version="0.1.8",
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version="0.1.9",
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description="Real-time, Fully Local Whisper's Speech-to-Text and Speaker Diarization",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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