app.py

import streamlit as st
import os
from analyzer import analyze_logs

st.set_page_config(page_title="Colibri Offline Analyzer", page_icon="🐦", layout="centered")

st.markdown("""
<div style='text-align: center'>
    <h1>🐦 Colibri Offline Analyzer</h1>
    <p><i>Powered by the Colibrì GLM-5.2 local runtime</i></p>
</div>
""", unsafe_allow_html=True)

st.write("Upload your proprietary application logs below. They never leave your machine.")

uploaded_file = st.file_uploader("Upload Log File (.txt, .log)", type=["txt", "log"])
sample_button = st.button("Use Sample Log")

log_content = ""
if uploaded_file is not None:
    log_content = uploaded_file.read().decode("utf-8")
elif sample_button:
    try:
        with open("sample_log.txt", "r") as f:
            log_content = f.read()
    except Exception:
        st.warning("sample_log.txt not found.")

if log_content:
    with st.expander("View Raw Logs"):
        st.code(log_content, language="log")

    if st.button("🔍 Analyze with GLM-5.2", type="primary"):
        with st.spinner("Analyzing securely offline..."):
            result = analyze_logs(log_content)
            
            st.success("Analysis Complete!")
            st.markdown("### Report")
            st.markdown(result)
            
            with open("outputs.md", "w", encoding="utf-8") as f:
                f.write(result)
            st.info("Report automatically saved to outputs.md")