Create app.py

app.py

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+import gradio as gr
+import cv2
+from services.video_service import get_video_frame
+from services.detection_service import detect_objects
+from services.thermal_service import detect_thermal_anomalies
+from services.shadow_detection import detect_shadow_coverage
+from services.salesforce_dispatcher import send_to_salesforce
+
+frame_gen = get_video_frame("data/drone_day.mp4")
+
+def monitor_feed():
+    try:
+        frame = next(frame_gen)
+        cv2.imwrite("temp.jpg", frame)
+        detections = detect_objects("temp.jpg")
+        thermal = detect_thermal_anomalies("temp.jpg")
+        shadow_flag = detect_shadow_coverage("temp.jpg")
+
+        alert_payload = {
+            "detections": detections,
+            "thermal": bool(thermal),
+            "shadow_issue": shadow_flag,
+        }
+        send_to_salesforce(alert_payload)
+        return frame
+    except StopIteration:
+        return None
+
+iface = gr.Interface(fn=monitor_feed, inputs=[], outputs="image", live=True, title="Solar Surveillance Feed Simulation")
+iface.launch()