Docker

fastapi for spam classification

Deploy a custom Docker image for Data Science project – A spam classifier with FastAPI (Part 3)

A guide to deploy a custom Docker image for an API with FastAPI and AI Deploy. Welcome to the third article concerning custom Docker image deployment. If you haven’t read the previous ones, you can check it: – Gradio sketch recognition app– Streamlit app for EDA and interactive prediction When creating code for a Data

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speech to text app image3

How to build a Speech-To-Text Application with Python (3/3)

A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this third article, your Speech-To-Text Application will offer many new features such as speaker differentiation, summarization, video subtitles generation, audio trimming, and others! Final code of the app is available in our dedicated GitHub repository. Overview of our final

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speech to text app image2

How to build a Speech-To-Text Application with Python (2/3)

A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this second article, your Speech-To-Text application will be more interactive and visually better. Indeed, we are going to center our titles and justify our transcript. We will also add some useful buttons (to download the transcript, to play with

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speech to text app image1

How to build a Speech-To-Text application with Python (1/3)

A tutorial to create and build your own Speech-To-Text application with Python. At the end of this first article, your Speech-To-Text application will be able to receive an audio recording and will generate its transcript! Final code of the app is available in our dedicated GitHub repository. Overview of our final app Overview of our

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streamlit app for eda and interactive prediction

Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)

A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project,

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Deploy a custom Docker image for Data Science project – Gradio sketch recognition app (Part 1)

A guide to deploy a custom Docker image for a Gradio app with AI Deploy. When creating code for a Data Science project, you probably want it to be as portable as possible. In other words, it can be run as many times as you like, even on different machines. Unfortunately, it is often the

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Managing Harbor at cloud scale : The story behind Harbor Kubernetes Operator

Recently, our container platforms team made our “Private Managed Registry” service generally available. In this blog post, we will explain why OVHcloud chose to base this service on the Harbor project, built a Kubernetes operator for it, and open sourced it under the CNCF goharbor project. The need for a S.M.A.R.T private registry After our

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OVHcloud and Binder

MyBinder and OVH partnership

Last month, OVH and Binder team partnered together in order to support the growth of the BinderHub ecosystem around the world. With approximately 100,000 weekly users of the mybinder.org public deployment and 3,000 unique git repositories hosting Binder badges, the need for more resources and computing time was felt. Today, we are thrilled to announce

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