app.py

import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("Auparima/thaifood-embed")

def embed_text(text):
    emb = model.encode(text)
    return str(emb[:10])

demo = gr.Interface(
    fn=embed_text,
    inputs="text",
    outputs="text",
    title="ThaiFood Embedding Model"
)

demo.launch()