- Clean up unnecessary whitespace in `gemini.py`, `events.py`, and `file_api.py`
- Ensure consistent formatting in `26g-gemini-multimodal-live-groundingMetadata.py`
- Improve readability by aligning code and removing trailing spaces
- Change function body to use 'str' parameter consistently
- Matches pattern used in OpenAI Realtime Beta service
- Fixes bug where parameter was named 'str' but body used 'message_str'
- Maintains consistency with existing codebase patterns
- Remove debug logging from grounding metadata event handlers
- Simplify logging in _process_grounding_metadata method
- Clean up example file logging for better readability
- Remove verbose event parsing comments
Based on suggestions from draft PR #2121
When we call `FrameProcessor.push_frame()` we end up calling
`FrameProcessor.queue_frame()` on the next or previous processor which already
uses the input queue and guarantees frame ordering. So, there's no need to have
a two queues next to each other.
* initial config
* skeleton
* Added a README (to be added to).
* Payloads coming from the ASR.
* doc update
* handle the partials and finals
* enable diarization in the example
* support sending messages to pipecat pipeline
* requirements fix in README
* updated example (with amusement)
* updated example to match master
* updated docs
* support for diarization tags
* logic fix for wrapper
* Use an internal SpeechFrame for speaker_id (not user_id).
* only include speaker tags on finalised transcript (as this may skew end of utterance detection)
* updated docs
* correction to docs and updated example
* updated requirement
* Fix for using default EU server.
* Updates from PR comments.
* Refactor based on comments in the original PR.
Primary focus on documentation, naming conventions and how `user_id` is used.
* Check for SMX installed when importing.
* Variable name change
* Comment correction.
* Support for Esporanto and Uyghur
* Impoved language support
* function name change
* Locale fix
* intercept
* interim changes
* pass the pipeline task to the module for adding events to the top of the pipeline
* logging for the pipeline
* Reduce timeout for content aggregator.
* staged update
* testing with Azure
* Updated context (Azure was dropping punctuation) and using better ElevenLabs model.
* Updated to RT 0.3.0 and use OpenAI (not Azure).
* Missing OpenAI import; parameter name change for output locale validation.
* Revert to `0.2.0` of RT SDK.
* fix for assignment of `output_locale_code`.
* update Speechmatics library to 0.3.1
* new transcription example
* updated asyncio task handling
* Updated doc strings
* enable OpenTelemetry logging
* removed import from stt for __init__
* updated examples and default values
* updated examples
* prevent lock up when closing the STT connection
* Add option to change the base URL for Google Generative AI.
This would be useful to support private instance or gateway of the API
* fix: add proper type hints for http_options in Google LLM service
