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| import streamlit as st | |
| from .sa import predictor | |
| def write(): | |
| st.markdown( | |
| """ | |
| # Arabic Sarcasm Detection | |
| This is a simple sarcasm detection app that uses the [MARBERT](https://huggingface.co/UBC-NLP/MARBERT) model trained on [ArSarcasm](https://github.com/iabufarha/ArSarcasm) | |
| """ | |
| ) | |
| input_text = st.text_input( | |
| "Enter your text here:", | |
| ) | |
| if st.button("Predict"): | |
| with st.spinner("Predicting..."): | |
| prediction, scores = predictor.get_preds_from_sarcasm([input_text]) | |
| st.write(f"Result: {prediction[0]}") | |
| st.write(f"Score: {scores[0]}") | |