Create app.py

app.py

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+# 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"])
+
+if uploaded_image:
+    image = Image.open(uploaded_image)
+    st.image(image, caption="Uploaded Thermal Image", use_column_width=True)
+
+    with st.spinner("Analyzing for thermal faults..."):
+        results = detect_faults(image)
+        if results:
+            st.error("\n### ❗ Faults Detected:")
+            for fault in results:
+                st.write(f"- 🔴 **Fault Type:** {fault[0]} | **Confidence:** {fault[1]:.2f}")
+        else:
+            st.success("✅ No faults detected.")