app.py

import streamlit as st
from utils.prediction import load_model_for_prediction
#import transformers
#from transformers import pipeline

# load the model and cache it
model, label_encoder, tokenizer = load_model_for_prediction()
if model is None or label_encoder is None or tokenizer is None:
    st.error("Failed to load model components")
    st.stop()

st.session_state['model'] = model
st.session_state['label_encoder'] = label_encoder
st.session_state['tokenizer'] = tokenizer
st.success('Model loaded successfully')