app.py

import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("all-mpnet-base-v2")

def get_embeddings(text):
    return model.encode(text).tolist()

gr.Interface(
    fn=get_embeddings,
    inputs="text",
    outputs="json",
    title="DiDef Embeddings"
).launch()