app.py

import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModel

def get_embeddings(text):
    tokenizer = AutoTokenizer.from_pretrained("GroNLP/bert-base-dutch-cased")
    model = AutoModel.from_pretrained("GroNLP/bert-base-dutch-cased", output_hidden_states=True)
    sent = str(text)
    encoded = tokenizer.encode_plus(sent, return_tensors="pt")
    with torch.no_grad():
        output = model(**encoded)

    states = output.hidden_states
    return states

iface = gr.Interface(fn=get_embeddings,inputs="text",outputs="text")
iface.launch()