app.py

import streamlit as st
from PIL import Image
from modules.thermal_fault_detection import detect_faults

st.set_page_config(page_title="Solar Panel Thermal Fault Detector", layout="centered")
st.title("🔍 Solar Panel Thermal Fault Detection Dashboard")

st.markdown("""
This AI-powered app analyzes thermal images from drones to detect:
- 🔥 Overheating
- 🌫️ Dust Accumulation
- 🔧 Physical Breakage
""")

uploaded_image = st.file_uploader("Upload a thermal image of a solar panel", type=["jpg", "png", "jpeg", "webp"])

if uploaded_image:
    image = Image.open(uploaded_image).convert("RGB")
    st.image(image, caption="Uploaded Thermal Image", use_column_width=True)

    with st.spinner("Analyzing for thermal faults..."):
        results, annotated_image = detect_faults(image)

        if results:
            st.error("❗ Faults Detected:")
            for fault in results:
                st.write(f"- 🔴 **Fault Type:** {fault[0]} | **Confidence:** {fault[1]:.2f}")
            st.image(annotated_image, caption="Detected Faults", use_column_width=True)
        else:
            st.success("✅ No faults detected.")