### Getting Started Riva uses gRPC APIs. Instructions below demonstrate usage of <%- name %> model using Python gRPC client. ### Prerequisites You will need a system with Git and Python 3+ installed. ### Install Riva Python Client ```bash $ pip install -r https://raw.githubusercontent.com/nvidia-riva/python-clients/main/requirements.txt $ pip install --force-reinstall git+https://github.com/nvidia-riva/python-clients.git ``` ### Download Python Client Download Python client code by cloning Python Client Repository. ```bash $ git clone https://github.com/nvidia-riva/python-clients.git ``` ### Run Python Client Open a command terminal and execute below command to synthesize audio from the example text. If you have generated the API key, it will be auto-populated in the command. ```bash $ python python-clients/scripts/tts/talk.py \ --server grpc.nvcf.nvidia.com:443 --use-ssl \ --metadata function-id "<%- nvcfFunctionId %>" \ --metadata authorization "Bearer <%- apiKey %>" \ --text "this audio is generated from nvidia's text-to-speech model" \ --voice "English-US-RadTTS.Female-1" \ --output audio.wav ``` List of available voices can be obtained using below command. ```bash $ python python-clients/scripts/tts/talk.py \ --server grpc.nvcf.nvidia.com:443 --use-ssl \ --metadata function-id "<%- nvcfFunctionId %>" \ --metadata authorization "Bearer <%- apiKey %>" \ --list-voices ``` ### Support for gRPC clients in other languages Riva uses gRPC APIs. Proto files can be downloaded from Riva gRPC Proto files and compiled to target language using Protoc compiler. Example Riva clients in C++ and Python languages are provided below. * Python Client Repository * C++ Client Repository

nvidia

radtts-hifigan-tts