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What's for dinner?

Running the app

  • Clone the repository
  • Visual Studio 2022
  • MAUI for Visual Studio
  • Open the WhatsForDinner.sln file
  • Within the Services/OpenAIService.cs class replace with your own the values of:
    • s_Azure_OpenAI_Endpoint
    • s_Azure_OpenAI_Secret

About

This is a small sample app written using MAUI and the Azure OpenAI C# SDK demonstrating the streaming capabilities of the API.

The app simply receives through a prompt constraints under which it will suggest cooking recipes. We store in a list of strings all the prompts that the user enters, then we issue a request after compiling everything into a single prompt. Check the services/PromptService.cs file for details.

The streaming response, currently, returns the text by larger chunks. We've added some "trickery" to parcelise the incoming text and make it appear to arrive "word by word". This can be disabled by hardcoding to default the value of the local variable tokenStreamDelay to default within the ViewModels/MainViewModel.cs::Submit method.

References

Best practices for prompt engineering