app.py

import gradio as gr
from sentence_transformers import SentenceTransformer

model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2') 

def encode_sentences(sentences):
    embeddings = model.encode(sentences)
    return embeddings

demo = gr.Interface(fn=encode_sentences, 
                    inputs="textbox", 
                    outputs="text")
                    
if __name__ == "__main__":
    demo.launch()