https://github.com/khcheung/semantic-kernel-gradio

https://github.com/khcheung/semantic-kernel-gradio

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/khcheung/semantic-kernel-gradio
• Owner: khcheung
• License: mit
• Created: 2023-10-02T02:14:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-02T13:44:55.000Z (over 1 year ago)
• Last Synced: 2024-10-14T19:02:41.176Z (3 months ago)
• Language: C#
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-semantickernel - semantic-kernel-gradio - TextEmbeddingGeneration (Plugins)

README

        
# semantic-kernel-gradio

Using Gradio API for Semantic Kernel - TextEmbeddingGeneration

## Testing Embedding Service

Url: https://alexkhcheung-embeddingtest.hf.space/

## Embedding Sevice (Python)

```python

import gradio as gr

from sentence_transformers import SentenceTransformer

import json

model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")

def embedding(input):

    embeddings = model.encode(input)    

    yield json.dumps(embeddings.tolist())

with gr.Blocks() as iface:    

    with gr.Row():

        inp = gr.Textbox(placeholder="Embedding Vector")

        out = gr.Textbox()

    btn = gr.Button("Run")

    btn.click(fn=embedding, inputs=inp, outputs=out, api_name="embedding")         

iface.queue().launch()

```

## Sample Use Gradio API for Embedding

```csharp

using Microsoft.SemanticKernel;

using Microsoft.SemanticKernel.AI.Embeddings;

using Simple.SemanticKernel.Connectors.Gradio;

public class Program

{

    public  static async Task Main(string[] args)

    {

        var builder = new KernelBuilder();

        builder.WithGradioEmbeddingGenerationService("https://alexkhcheung-embeddingtest.hf.space/", 0, setAsDefault: true);

        var kernel = builder.Build();

        var embeddingGeneration = kernel.GetService();

        var embedding = await embeddingGeneration.GenerateEmbeddingsAsync(new List() { "Hello World !" });

        Console.WriteLine(embedding[0]);

    }

}

```