app.py

import streamlit as st
import tempfile
import os
from utils.video_processing import process_video

st.set_page_config(page_title="Solar Panel Fault Detection - Drone Video", layout="wide")
st.title("📹 Solar Panel Fault Detection from Drone Video")

uploaded_video = st.file_uploader("Upload Drone Video (.mp4)", type=["mp4", "avi", "mov"])

if uploaded_video:
    # Save to temp file
    tfile = tempfile.NamedTemporaryFile(delete=False)
    tfile.write(uploaded_video.read())
    video_path = tfile.name

    st.video(video_path)

    with st.spinner("Processing video..."):
        annotated_video_path, report = process_video(video_path)

    st.subheader("📋 Fault Summary Report")
    for entry in report:
        st.markdown(f"- **{entry['type']}** at `{entry['location']}` (Frame: {entry['frame']}) | Confidence: {entry['confidence']:.2f}")

    st.subheader("🎞️ Annotated Video")
    st.video(annotated_video_path)