https://github.com/craigomatic/sk-classifier

Runs classification against an input set of prompts
https://github.com/craigomatic/sk-classifier

Last synced: about 1 month ago
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Runs classification against an input set of prompts

• Host: GitHub
• URL: https://github.com/craigomatic/sk-classifier
• Owner: craigomatic
• License: mit
• Created: 2023-04-12T17:56:00.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-05-18T19:52:10.000Z (over 1 year ago)
• Last Synced: 2024-08-01T13:18:58.892Z (4 months ago)
• Language: C#
• Size: 10.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-semantickernel - sk-classifier - defined series of classifications using Semantic Kernel (Open Source Projects)

README

        
# sk-classifier

This small sample project shows how to perform basic classification on a series on prompts, against a pre-defined series of classifications using [Semantic Kernel](https://github.com/microsoft/semantic-kernel)

## Usage

1. Get your keys from Azure OpenAI and paste into [Program.cs](SkClassifier/Program.cs) - if you are using Open AI, you'll need to edit line 19.

2. Run the sample and observe the output:



Modify the classifications array and the toClassify array to match your scenario. Some adjustment to the [skprompt.txt](SkClassifier/skprompt.txt) may be required, depending on your scenario.