Using LLamaSharp to implement custom TextCompletion and EmbeddingGeneration of Semantic Kernel

1. Clone this repository.
2. Download a llama model. If you don't know which model is available, please refer to LLamaSharp Verified Models.
3. Modify the path of model and prompt file in samples/SK_LLamaSharpWebApi/appsettings.json.
4. Change the backend type if you want to, by modifying SK_LLamaSharpWebApi.csproj and Directory.Packages.props.
5. Run the sample. It's recommended to run with release mode or x64 configuration.
6. Send the request to the web api to test.