src/streamlit_app.py

import streamlit as st
from api.config import ROUTING_MAP, ACTION_MAP
from api.classifier import infer

st.title("Support Ticket Router")
st.caption("AI-powered intent classification for customer support")

text = st.text_area("Enter customer message:", height=100)

if st.button("Classify"):
    
    result = infer(text)
    st.write(result)
    col1, col2 = st.columns(2)
    with col1:
        intent = result["intent"]
        st.metric("Intent", intent)
        st.metric("Confidence", f"{result['confidence']*100:.1f}%")
    with col2:
        st.metric("Latency", f"{result['latency_ms']:.0f}ms")
        st.metric("Routed to", ROUTING_MAP.get(intent, "General Support"))

    st.info(f"Auto action: {ACTION_MAP.get(intent, "Manual review required")}")