app.py

import streamlit as st
from agent import classify_emoji_text

# ✅ 页面配置
st.set_page_config(page_title="Emoji Offensive Text Detector", page_icon="🚨", layout="wide")

# ✅ 页面标题
st.title("🧠 Emoji-based Offensive Language Classifier")

st.markdown("""
This application translates emojis in a sentence and classifies whether the final sentence is offensive or not using two AI models.
- The **first model** translates emoji or symbolic phrases into standard Chinese text.
- The **second model** performs offensive language detection.
""")

# ✅ 输入区域
default_text = "你是🐷"
text = st.text_area("✍️ Input your sentence here:", value=default_text, height=150)

# ✅ 触发按钮
if st.button("🚦 Analyze"):
    with st.spinner("🔍 Processing..."):
        try:
            translated, label, score = classify_emoji_text(text)

            # 输出结果显示（修复多行字符串语法）
            st.markdown("### 🔄 Translated sentence:")
            st.code(translated, language="text")

            st.markdown(f"### 🎯 Prediction: `{label}`")
            st.markdown(f"### 📊 Confidence Score: `{score:.2%}`")

        except Exception as e:
            st.error(f"❌ An error occurred during processing:\n\n{e}")
else:
    st.info("👈 Please input text and click the button to classify.")