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| import streamlit as st | |
| from agent import classify_emoji_text | |
| st.set_page_config(page_title="Emoji Offensive Classifier", page_icon="🤖") | |
| st.title("🧠 Emoji Offensive Text Detector") | |
| st.markdown("Enter a sentence containing emoji and check if it’s offensive.") | |
| example = "你是🐷" | |
| text = st.text_area("Enter text:", value=example, height=100) | |
| if st.button("Analyze"): | |
| with st.spinner("Processing..."): | |
| translated, label, score = classify_emoji_text(text) | |
| st.markdown(f"**Translated Text:** `{translated}`") | |
| st.markdown(f"**Prediction:** `{label}`") | |
| st.markdown(f"**Confidence:** `{score:.2%}`") | |
| else: | |
| st.info("Click the button to start analysis.") | |