app.py

# Load model directly
import gradio as gr
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("j5ng/kcbert-formal-classifier")
model = AutoModelForSequenceClassification.from_pretrained("j5ng/kcbert-formal-classifier")

formal_classifier = pipeline(task="text-classification", model=model, tokenizer=tokenizer)


def greet(name):
    return formal_classifier(name)

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