app.py

import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer('sentence-transformers/paraphrase-mpnet-base-v2')

def get_embedding(text):
    embedding = model.encode(text)
    return embedding.tolist()

iface = gr.Interface(
    fn=get_embedding,
    inputs=gr.Textbox(),
    outputs="json",
    api_name="embed"
)

iface.launch()