Jim Bennett 2021-10-21 16:26:48 -07:00
Родитель 3eeeffe818 7a14758b9c
Коммит 17fd088c6e
3 изменённых файлов: 9 добавлений и 1 удалений

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@ -43,7 +43,11 @@ For more details on [supported browsers and troubleshooting](https://docs.micros
Your team should also be familiar with the following:
- [Forking](https://docs.github.com/github/getting-started-with-github/quickstart/fork-a-repo) and [cloning](https://docs.github.com/github/creating-cloning-and-archiving-repositories/cloning-a-repository-from-github/cloning-a-repository) repositories
- [Forking](https://docs.github.com/github/getting-started-with-github/quickstart/fork-a-repo)
- [Cloning](https://docs.github.com/github/creating-cloning-and-archiving-repositories/cloning-a-repository-from-github/cloning-a-repository)
- If you have not used git before we suggest [GitHub Desktop](https://desktop.github.com/)
## Resources

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@ -113,6 +113,10 @@ Your team might find these resources helpful:
- To return a value, you need to use the *Respond to a PowerApp or flow* action. Respond with text, passing the first prediction's `tagName` in a text field called `breed`.
- So body("Parse_JSON") takes the result JSON as a dynamic object, which contains an array of predictions. The first() part gets the first item from this array, and the .tagName extracts the tag name field from that array item `tagname` = customvision.ai tag name of the image and tag = `breed` of dog
- Ensure you add this as Expression and not Dynamic Content
## Final result
![A power automate flow showing 4 blogs in a sequence - Power Apps, classify an image, Parse JSON and Respond to a power app or flow](./media/power-automate-flow.png)

Двоичные данные
model-images/training-images/golden-doodle-5.jfif Normal file

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