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Capitalize WebSocket (#75)
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docs/index.md

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@@ -12,7 +12,7 @@ Basic installation:
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pip install hume
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```
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Websocket and streaming features can be enabled with:
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WebSocket and streaming features can be enabled with:
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```bash
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pip install "hume[stream]"
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print(job)
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```
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### Stream predictions over a websocket
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### Stream predictions over a WebSocket
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> Note: `pip install "hume[stream]"` is required to use websocket features
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> Note: `pip install "hume[stream]"` is required to use WebSocket features
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```python
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import asyncio

examples/README.md

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| [batch](https://docs.hume.ai/doc/batch-api) | [`prosody`](https://help.hume.ai/models/speech-prosody) | Specified language support | [Notebook](./batch-specified-language-transcription/batch-specified-language-transcription.ipynb) |
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| [stream](https://docs.hume.ai/doc/streaming-api) | [`facemesh`](https://help.hume.ai/models/facial-expression) | | [Notebook](./stream-anonymized-facemesh/stream-anonymized-facemesh.ipynb) |
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| [stream](https://docs.hume.ai/doc/streaming-api) | [`face`](https://help.hume.ai/models/facial-expression) | Face identification | [Notebook](./stream-face-expression/stream-face-expression.ipynb) |
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| [stream](https://docs.hume.ai/doc/streaming-api) | [`language`](https://help.hume.ai/models/emotional-language) | Send raw text over websocket | [Notebook](./stream-text-emotion/stream-text-emotion.ipynb) |
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| [stream](https://docs.hume.ai/doc/streaming-api) | [`language`](https://help.hume.ai/models/emotional-language) | Send raw text over WebSocket | [Notebook](./stream-text-emotion/stream-text-emotion.ipynb) |
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| [stream](https://docs.hume.ai/doc/streaming-api) | [`burst`](https://help.hume.ai/models/vocal-bursts), [`prosody`](https://help.hume.ai/models/speech-prosody) | Stream media from in memory bytes, reset stream context | [Notebook](./stream-voice-expression/stream-voice-expression.ipynb) |

hume/_stream/hume_stream_client.py

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Args:
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configs (List[ModelConfigBase]): List of job configs.
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stream_window_ms (Optional[int]): Length of the sliding window in milliseconds to use when
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aggregating media across streaming payloads within one websocket connection.
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aggregating media across streaming payloads within one WebSocket connection.
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"""
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endpoint = self._construct_endpoint("models")
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try:

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