app.py

import gradio as gr
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')

def compute_embedding(name):
    return model.encode(name)

iface = gr.Interface(fn=compute_embedding, inputs="text", outputs="embedding")
iface.launch()