app.py

from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
import gradio as grad
import ast
import nltk
from sentence_transformers import SentenceTransformer, util
import numpy as np

model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
def embed(sentences):
    reponse = model.encode(sentences)
    return response
grad.Interface(embed, inputs=["text"], outputs="text").launch()