From the course: Prompt Flow: Hands-On
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Adding custom Python to the flow - Azure AI Services Tutorial
From the course: Prompt Flow: Hands-On
Adding custom Python to the flow
- [Instructor] Now it's time to start building out the app, but this is where Prompt Flow really shines, because now that I have a working flow, I can add nodes and tools to it, and then see how the information flows through, and then make changes as necessary or even reorganize what is happening. So in our app, I want to be able to input a URL, and then have the app pick up the URL, go off onto the internet, and find the article and scrape that article, and pull the information back into the app, and then do something with that information. So let's start by just seeing if we can wire up that, get the URL, go to the web and pick it up, pick up the information, return it back to us and store it part. And as I say this, don't worry, I'm not going to make you write all this code. It's all available already under this folder example files. So we're going to pull files out of this folder, place it into the reader folder, and then add them into the project. The first file I need is this…
Contents
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Idea: Build an article discussion app for kids2m 32s
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(Locked)
Creating a new Prompt Flow from scratch2m 15s
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(Locked)
Creating a connection to access AI services2m 17s
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(Locked)
Testing the flow1m 39s
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(Locked)
Adding custom Python to the flow4m 24s
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(Locked)
Continuous incremental testing1m 40s
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(Locked)
Adding LLM tools to the flow3m
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(Locked)
Adding new input fields to LLM tools4m 26s
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(Locked)
Debugging the flow3m 10s
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(Locked)
Creating conditional flow patterns7m 22s
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(Locked)
Adding required Python dependencies before deployment2m 40s
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(Locked)
Building a flow using Docker3m 5s
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(Locked)
Create a Docker image for a flow59s
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(Locked)
Run the Docker image3m 10s
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(Locked)
Bonus: Add Mistral AI as a custom connection5m 10s
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