I containerized my ChatGPT news app, and deployed it in Amazon Lightsail. You can give it a try here: https://container-service-1.2h766bqgeo2a8.us-east-1.cs.amazonlightsail.com/. I’m taking a news feed and giving that to ChatGPT using their API, and also asking ChatGPT to give me a (hopefully) humorous sales pitch for a classic “advertised on TV” product, using the news story as inspiration. My idea was to test out the concept of using generative AI in, for instance, a business application that creates timely sales pitches.
You could direct ChatGPT to provide serious sales pitches, but I asked for funny ones. The result is something like the Onion, except it’s completely machine generated. For example, when an ET Online article described how Kim Kardashian sported a pink suit that made her look like a Power Ranger, my web site generated this story: “In a hilarious turn of events, Kim Kardashian recently moonlighted as a Pink Mighty Morphin Power Ranger at the launch of the Navage Nasal Irrigation System. Kardashian donned her pink suit and posed with Navage, a device that uses a gentle saline flush to cleanse your nasal passages and relieve congestion. With Navage, you can put the power of the Pink Ranger in your pocket and blast away your sinus problems!”
Amazon Lightsail is useful for small sites like this one. I was expecting to be able to export my container from Docker on my Mac into a file and upload it through the AWS Console to Lightsail. That’s not how it works, though. You need to start a container service in the AWS console and then use the AWS command line on your Mac or PC to extract the container image from Docker and push it to Lightsail, as AWS describes here. Once it’s up there you can start it from the console. It costs only $7 a month to run a container using the smallest (Nano) server.
I’ve updated the code in Github if you want to try it.
Mike's ML 