# app.py
import gradio as gr
from transformers import AutoTokenizer, AutoModel
import torch

model_name = "BM-K/KoSimCSE-roberta"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModel.from_pretrained(model_name)

def embed(text):
    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
    with torch.no_grad():
        outputs = model(**inputs)
        embeddings = outputs.last_hidden_state[:, 0]
    return embeddings.tolist()

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