Python Quick Start
This document outlines how to integrate Rhino Speech-to-Intent engine within an application using its Python API.
- Linux (x86_64)
- macOS (x86_64, arm64)
- Windows (x86_64)
- NVIDIA Jetson Nano
- Raspberry Pi (Zero, 2, 3, 4)
- Picovoice Account & AccessKey
- Python 3
Picovoice Account & AccessKey
Signup or Login to Picovoice Console to get your
Make sure to keep your
Install Python 3 .
Install the pvrhino Python package using PIP:
Create an instance of Rhino Speech-to-Intent engine that infers intent from spoken commands within a given context:
Pass in frames of audio to the
.process function and use the
Release resources explicitly when done with Rhino:
Create custom context using the Picovoice Console .
Download the custom context file (
.rhn) and create an instance of Rhino using the
context_path input argument:
Use the corresponding model file (
.pv), to detect non-English contexts.
The model files for all supported languages are available
on the Rhino GitHub repository .
Pass in the model file using the
model_path input argument to change the detection language:
For the Rhino Python SDK, we offer demo applications that demonstrate how to use the Speech-to-Intent engine on real-time audio streams (i.e. microphone input) and audio files.
Install the pvrhinodemo Python package using PIP:
This package installs command-line utilities for the Rhino Python demos.
--help flag to see the usage options for the demo:
Ensure you have a working microphone connected to your system and run the following command to infer intent from spoken commands:
For more information on our Rhino demos for Python, head over to our GitHub repository .