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| import streamlit as st | |
| from transformers import pipeline | |
| classifier = pipeline("sentiment-analysis", model="michellejieli/emotion_text_classifier") | |
| st.title("Emotion in Text Classifier") | |
| st.write("Enter any sentence, and the model will predict the expressed emotion in it!") | |
| user_input = st.text_area("Type your prompt here.", "...") | |
| if st.button("Predict Emotion"): | |
| result = classifier(user_input) | |
| emotion = result[0]['label'] | |
| score = result[0]['score'] | |
| st.write(f"**Predicted Emotion:** {emotion}") | |
| st.write(f"**Confidence Score:** {score:.2f}") | |