gRPC setup

Before developing and running client applications, you need to set up the gRPC environment for your programming language.

Basic steps

The basic steps in using the gRPC protocol for Neural TTSaaS are:

  1. Install gRPC for the programming language of your choice, including C++, Java, Python, Go, Ruby, C#, Node.js, and others. See the gRPC Documentation  for a complete list and instructions on using gRPC with each one. For example, for Python:

    python3 -m pip install --upgrade pip
python3 -m pip install grpcio
python3 -m pip install grpcio-tools
    python -m pip install --upgrade pip
python -m pip install grpcio
python -m pip install grpcio-tools

  2. Download proto file: nuance-synthesizer-proto.zip. This file contains a generic version of the functions or classes that perform speech synthesis.

  3. Unzip the file in a location that your applications can access, for example in the directory that contains or will contain your client apps. On Linux, use the unzip command:

    unzip nuance-synthesizer-proto.zip

├── Your client apps here
└── nuance
    └── tts
        └── v1
            └── synthesizer.proto

  4. If your programming language requires client stub files, generate the stubs from the proto file using gRPC protoc, following the Python example as guidance. Run these commands from the directory just above the nuance directory.

    These stubs contain the methods and fields from the proto files as implemented in your programming language. Some languages, such as Node.js, can use the proto files directly, meaning client stubs are not required. Consult the gRPC documentation for your programming language.

    # Generate Python stubs for synthesis
python3 -m grpc_tools.protoc --proto_path=./ --python_out=./ --grpc_python_out=./ nuance/tts/v1/synthesizer.proto
    rem Generate Python stubs for synthesis
python -m grpc_tools.protoc --proto_path=./ --python_out=./ --grpc_python_out=./ nuance/tts/v1/synthesizer.proto

Final structure

The resulting files contain the information in the proto files in your programming language.

├── Your client apps here
└── nuance
    └── tts
        └── v1
            ├── synthesizer_pb2.py
            ├── synthesizer_pb2_grpc.py
            └── synthesizer.proto

What’s next?

Once you have the proto file and optionally the client stubs, you are ready to develop and run client applications with the help of a Sample synthesis client for Neural TTSaaS.