Of these, only the first one actually has any real value. And as you've mentioned there are likely less "expensive" ways to do so. By expensive, I mean this is essentially using a sledgehammer to crack a nut (especially the Dall-E call).
I'm trying to understand the criticism here, so please give the GPT a shot with a few different locations (you can also do neighborhoods or fictional locations) and describe how this is a nut that can be cracked with non-LLM solutions:
I think people are just questioning the assumption that such a feature is a desirable or necessary feature of a weather display.
I definitely was a bit surprised to open the repo to a weather display and see the need for an OpenAI key without an explanation of which features were AI-powered.
But of course this is a personal project, so "Generate a representative AI image using the location and weather information" is a perfectly valid, and cool, challenge to set yourself and achieve.