import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("silma-ai/silma-embedding-matryoshka-v0.1")

def embed_text(text):
    embedding = model.encode(text)
    return str(embedding[:10]) + "..."  # just showing first 10 numbers

gr.Interface(fn=embed_text, inputs="text", outputs="text", title="SILMA Arabic Embedding").launch()