app.py

# app.py (in your HF Space)
import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("your-username/rag-embedder")

def embed(text):
    return model.encode(text).tolist()   # Returns vector

demo = gr.Interface(fn=embed, inputs="text", outputs="json")
demo.launch()