TxtAI MCP Server

# Text To Speech   The Text To Speech pipeline generates speech from text. ## Example The following shows a simple example using this pipeline. ```python from txtai.pipeline import TextToSpeech # Create and run pipeline with default model tts = TextToSpeech() tts("Say something here") # Stream audio - incrementally generates snippets of audio yield from tts( "Say something here. And say something else.".split(), stream=True ) # Generate audio using a speaker id tts = TextToSpeech("neuml/vctk-vits-onnx") tts("Say something here", speaker=15) # Generate audio using speaker embeddings tts = TextToSpeech("neuml/txtai-speecht5-onnx") tts("Say something here", speaker=np.array(...)) ``` See the links below for a more detailed example. | Notebook | Description | | |:----------|:-------------|------:| | [Text to speech generation](https://github.com/neuml/txtai/blob/master/examples/40_Text_to_Speech_Generation.ipynb) | Generate speech from text | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/40_Text_to_Speech_Generation.ipynb) | | [Speech to Speech RAG](https://github.com/neuml/txtai/blob/master/examples/65_Speech_to_Speech_RAG.ipynb) [▶️](https://www.youtube.com/watch?v=tH8QWwkVMKA) | Full cycle speech to speech workflow with RAG | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/65_Speech_to_Speech_RAG.ipynb) | | [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) | This pipeline is backed by ONNX models from the Hugging Face Hub. The following models are currently available. - [kokoro-base-onnx](https://huggingface.co/NeuML/kokoro-base-onnx) | [fp16](https://huggingface.co/NeuML/kokoro-fp16-onnx) | [int8](https://huggingface.co/NeuML/kokoro-int8-onnx) - [ljspeech-jets-onnx](https://huggingface.co/NeuML/ljspeech-jets-onnx) - [ljspeech-vits-onnx](https://huggingface.co/NeuML/ljspeech-vits-onnx) - [vctk-vits-onnx](https://huggingface.co/NeuML/vctk-vits-onnx) - [txtai-speecht5-onnx](https://huggingface.co/NeuML/txtai-speecht5-onnx) ## 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 texttospeech: # Run pipeline with workflow workflow: tts: tasks: - action: texttospeech ``` ### Run with Workflows ```python from txtai import Application # Create and run pipeline with workflow app = Application("config.yml") list(app.workflow("tts", ["Say something here"])) ``` ### 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":"tts", "elements":["Say something here"]}' ``` ## Methods Python documentation for the pipeline. ### ::: txtai.pipeline.TextToSpeech.__init__ ### ::: txtai.pipeline.TextToSpeech.__call__