| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| import streamlit as st | |
| pipe = pipeline("text-classification", model="mavinsao/mi-roberta-classification") | |
| # Streamlit app | |
| st.title('Mental Illness Prediction') | |
| # Input text area for user input | |
| sentence = st.text_area("Enter the long sentence to predict your mental illness state:") | |
| # Prediction button | |
| if st.button('Predict'): | |
| st.write("Predicted labels:", pipe(sentence)) | |