# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("OatNapat/finetuned_yelp")
model = AutoModelForSequenceClassification.from_pretrained("OatNapat/finetuned_yelp")
# Use a pipeline as a high-level helper
from transformers import pipeline

nlp = pipeline("text-classification", model="zfox/finetuning-sentiment-model-3000-samples")

text = st.text_input('กรุณาถอดรองเท้า')