![]() For example if you use Docker Desktop, navigate to Preferences-Resources to do this. Note that you also need to give your container runtime more resources. For chart verification, see the instructions (from the NOTES.txt file within the chart) after the Helm installation completes. Inside an existing application or within Watson. /ibm-watson-tts-embed-runtime -set licensetrue -set nameOverridetts -set Show more. I’ve used the settings below which is more than required, but I wanted to leave space for other applications. IBM Watson Text to Speech is a cloud-based API that transforms written text into organic sounding audio. Next Minikube needs to be started with more memory and disk size than the Minikube defaults. The instructions below describe how to deploy Watson Text To Speech locally to Minikube via kubectl and yaml files.įirst you need to install Minikube, for example via brew on MacOS. My post Running IBM Watson Text to Speech in Containers explained how to run Watson TTS locally in Docker. The container images are stored in an IBM container registry that is accessed via an IBM Entitlement Key. While this offering is new, the underlaying functionality has been used and optimized for a long time in IBM offerings like the IBM Cloud SaaS service for TTS and IBM Cloud Pak for Data. The Watson Text to Speech library is available as containers providing REST and WebSockets interfaces. Use our Text to Speech voices from Amazon Polly, Google WaveNet, IBM Watson and Microsoft Azure to generate realistic AI voices and download as MP3 or WAV. To set some context, check out the landing page IBM Watson Speech Libraries for Embed. This post describes how to run Watson Text To Speech locally in Minikube. Via REST and WebSockets APIs AI can easily be embedded in applications. ![]() IBM Watson NLP (Natural Language Understanding) and Watson Speech containers can be run locally, on-premises or Kubernetes and OpenShift clusters.
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