TxtAI MCP Server

# Audio Mixer   The Audio Mixer pipeline mixes multiple audio streams into a single stream. ## Example The following shows a simple example using this pipeline. ```python from txtai.pipeline import AudioMixer # Create and run pipeline mixer = AudioMixer() mixer(((audio1, rate1), (audio2, rate2))) ``` See the link below for a more detailed example. | Notebook | Description | | |:----------|:-------------|------:| | [Generative Audio](https://github.com/neuml/txtai/blob/master/examples/66_Generative_Audio.ipynb) | Storytelling with generative audio workflows | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/66_Generative_Audio.ipynb) | ## Configuration-driven example Pipelines are run with Python or configuration. Pipelines can be instantiated in [configuration](../../../api/configuration/#pipeline) using the lower case name of the pipeline. Configuration-driven pipelines are run with [workflows](../../../workflow/#configuration-driven-example) or the [API](../../../api#local-instance). ### config.yml ```yaml # Create pipeline using lower case class name audiomixer: # Run pipeline with workflow workflow: audiomixer: tasks: - action: audiomixer ``` ### Run with Workflows ```python from txtai import Application # Create and run pipeline with workflow app = Application("config.yml") list(app.workflow("audiomixer", [[[audio1, rate1], [audio2, rate2]]])) ``` ### Run with API ```bash CONFIG=config.yml uvicorn "txtai.api:app" & curl \ -X POST "http://localhost:8000/workflow" \ -H "Content-Type: application/json" \ -d '{"name":"audiomixer", "elements":[[[audio1, rate1], [audio2, rate2]]]}' ``` ## Methods Python documentation for the pipeline. ### ::: txtai.pipeline.AudioMixer.__init__ ### ::: txtai.pipeline.AudioMixer.__call__