From the course: Prompt Flow: Hands-On

Unlock this course with a free trial

Join today to access over 25,300 courses taught by industry experts.

Adding required Python dependencies before deployment

Adding required Python dependencies before deployment - Azure AI Services Tutorial

From the course: Prompt Flow: Hands-On

Start my 1-month free trial Buy for my team

Adding required Python dependencies before deployment

“

- [Tutor] When the flow for your app is fully built out and tested, and you are happy with how it works, it's time to deploy it so it's a standalone application and other people can use it. In the next video, we'll go through the actual deployment process, but before we do that, we have to make sure that all the necessary information sits inside our current project folder. Here's what I mean by that. In my flow, I have a bunch of different Python tools, and these different Python tools are using different Python dependencies. Now so far, because of how I've set up my entire environment, all of those dependencies were loaded in when you originally set up the code space. So here you see, we have beautiful soup, we have key rings, we have mistral, we have Prompt flow, and Python.end and requests. But when we deploy our reader app, it'll only pull information from the reader folder. That means each of your prompt flow folders needs to contain a requirements.text file with all of the…

Contents