manhph2211/ML-Deployment
Pushing Deep Learning models into production using torchserve, kubernetes and react web app :smile:
This project helps MLOps engineers and backend developers deploy a text-to-speech (TTS) deep learning model into a production environment. It takes text input and generates spoken audio output. It provides a full template for serving the model via TorchServe, orchestrating with Kubernetes, and connecting to a React-based web application with a user dashboard.
No commits in the last 6 months.
Use this if you are an MLOps engineer or a backend developer looking for a comprehensive template to deploy a deep learning-based text-to-speech service, complete with model serving, Kubernetes orchestration, and a web interface.
Not ideal if you are an end-user simply looking for a text-to-speech application; this project is a developer template for building and deploying such a service.
Stars
27
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jun 15, 2023
Commits (30d)
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