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Showing content from https://github.com/LlamaEdge/tts-api-server below:

LlamaEdge/tts-api-server: The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge

This project is a RESTful API server that creates an audio from a text based on Piper. The APIs are compatible with OpenAI APIs of create speech.

Note

The project is still under active development. The existing features still need to be improved and more features will be added in the future.

Warning

tts-api-serve ONLY supports Linux platform for now! The support for other platforms will be added in the future.

• Install WasmEdge v0.14.1

  curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install_v2.sh | bash -s -- -v 0.14.1

• Deply wasmedge-piper plugin

  For the purpose of demonstration, we will use the piper plugin for Ubuntu-20.04. You can find the plugin for other platforms Releases/0.14.1

  # Download piper plugin for Mac Apple Silicon
  curl -LO https://github.com/WasmEdge/WasmEdge/releases/download/0.14.1/WasmEdge-plugin-wasi_nn-piper-0.14.1-ubuntu20.04_x86_64.tar.gz
  
  # Unzip the plugin to $HOME/.wasmedge/plugin
  tar -xzf WasmEdge-plugin-wasi_nn-piper-0.14.1-ubuntu20.04_x86_64.tar.gz -C $HOME/.wasmedge/plugin
  
  rm $HOME/.wasmedge/plugin/libwasmedgePluginWasiNN.dylib

• Download piper model and voice config file

  # Download piper model
  curl -LO https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx
  
  # Download voice config file
  curl -LO https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json

  For more voice models and config files, visit rhasspy/piper-voices.

• Download text-to-speech synthesizer

  # Download espeak-ng data directory
  curl -LO https://github.com/rhasspy/piper/releases/download/2023.11.14-2/piper_linux_x86_64.tar.gz
  tar -xzf piper_linux_x86_64.tar.gz piper/espeak-ng-data --strip-components=1

• Download tts-api-server.wasm

  curl -LO https://github.com/LlamaEdge/tts-api-server/releases/latest/download/tts-api-server.wasm

• Start server

  wasmedge --dir .:. tts-api-server.wasm \
    --model-name piper \
    --model en_US-lessac-medium.onnx \
    --config en_US-lessac-medium.onnx.json \
    --espeak-ng-dir ./espeak-ng-data

  [!TIP] tts-api-server will use 8080 port by default. You can change the port by adding --port <port>.

• Send a request for creating an audio from a text

  curl --location 'http://localhost:8080/v1/audio/speech' \
    --header 'Content-Type: application/json' \
    --data '{
      "model": "piper",
      "input": "This is an audio speech test",
      "response_format": "wav",
      "speed": 1.0
    }'
    --output test.wav

  If the request is successful, the generated audio file will be saved as test.wav.

• For Linux users

• For macOS users

  • Download the wasi-sdk from the official website and unzip it to the directory you want.

  • Build the project

    export WASI_SDK_PATH=/path/to/wasi-sdk
    export CC="${WASI_SDK_PATH}/bin/clang --sysroot=${WASI_SDK_PATH}/share/wasi-sysroot"
    cargo clean
    cargo update
    cargo build --release

If the build process is successful, tts-api-server.wasm will be generated in target/wasm32-wasip1/release/.

$ wasmedge tts-api-server.wasm -h
Whisper API Server

Usage: tts-api-server.wasm [OPTIONS] --model-name <MODEL_NAME> --model <MODEL> --config <CONFIG> --espeak-ng-dir <ESPEAK_NG_DIR>

Options:
  -m, --model-name <MODEL_NAME>        Model name
      --model <MODEL>                  Path to the whisper model file
      --config <CONFIG>                Path to the voice config file
      --espeak-ng-dir <ESPEAK_NG_DIR>  Path to the espeak-ng data directory
      --socket-addr <SOCKET_ADDR>      Socket address of LlamaEdge API Server instance. For example, `0.0.0.0:8080`
      --port <PORT>                    Port number [default: 8080]
  -h, --help                           Print help
  -V, --version                        Print version

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