Recent Blog ArticlesMost RecentMost LikesRe: Deploy a Gradio Web App on Azure with Azure App Service: a Step-by-Step Guide Himalla-satishakumar, are you authenticating with Entra ID? Re: Deploy a Gradio Web App on Azure with Azure App Service: a Step-by-Step Guide HiGhostlyscript, sorry for a late reply. It was just a quick and dirty workaround to avoid putting the contents of .venv into the zip. There's certainly a more elegant way to do that. Re: Deploy a Gradio Web App on Azure with Azure App Service: a Step-by-Step Guide Ghostlyscriptoh, I see now. Yes, it should be the deploy folder. Re: Deploy a Gradio Web App on Azure with Azure App Service: a Step-by-Step Guide HiGhostlyscript, right you are, just an example of how to use secrets in your app. Applies for any kind of secret, although it's recommended to use Key Vaults, or Managed Identities for authenticat...Practical Guide to Azure Custom Neural Voice: Essential Tips for Success Recently, I worked on a project involving the generation of a custom voice, and I encountered some features and hidden issues not covered in the official documentation. Therefore, I would like to sha...Re: Securing Azure OpenAI Usage with Azure Functions and Managed Identities: a Step-by-Step Guide bhargav1645hey, thank you for the question, interesting indeed. Could you please test it locally? To do so please run az login in your terminal and then in the same terminal execute your function. I...Deploy a Gradio Web App on Azure with Azure App Service: a Step-by-Step Guide This guide provides a detailed walkthrough for deploying a Gradio interface to the cloud using Azure App Service. It is designed for individuals who wish to transition their Gradio applications, such...Securing Azure OpenAI Usage with Azure Functions and Managed Identities: a Step-by-Step Guide To use the Azure OpenAI client library, you normally need to get the key and endpoint, set up permanent environment variables for these keys and endpoints, and then use these variables to create and ...Re: An Introduction to LLMOps: Operationalizing and Managing Large Language Models using Azure ML Very insightful, thanks a lot for sharing
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