import gradio as gr
import json
from sentence_transformers import SentenceTransformer

model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')

def give_embeddings(sentence):
    return json.dumps(model.encode([sentence])[0].tolist())

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