Update app.py

app.py

@@ -1,30 +1,24 @@
-import gradio as gr
-import cv2
-
-# ✅ Import all services before calling anything
-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
-
-# ✅ Initialize frame generator only after imports
-frame_gen = get_video_frame("data/drone_day.mp4")
+import os
 
 def monitor_feed():
     global frame_gen
     try:
         frame = next(frame_gen)
     except StopIteration:
-        # Auto-reload video when it ends
+        # Auto-restart video when finished
         frame_gen = get_video_frame("data/drone_day.mp4")
         frame = next(frame_gen)
 
-    cv2.imwrite("temp.jpg", frame)
+    temp_path = "temp.jpg"
+    cv2.imwrite(temp_path, frame)
 
-    detections = detect_objects("temp.jpg")
-    thermal = detect_thermal_anomalies("temp.jpg")
-    shadow_flag = detect_shadow_coverage("temp.jpg")
+    if not os.path.exists(temp_path):
+        raise FileNotFoundError("Temp image not created!")
+
+    # 🛠️ Correct: pass temp_path (string) to detector
+    detections = detect_objects(temp_path)
+    thermal = detect_thermal_anomalies(temp_path)
+    shadow_flag = detect_shadow_coverage(temp_path)
 
     alert_payload = {
         "detections": detections,
@@ -32,15 +26,5 @@ def monitor_feed():
         "shadow_issue": shadow_flag,
     }
     send_to_salesforce(alert_payload)
-    return frame
-
-# ✅ Setup Gradio interface
-iface = gr.Interface(
-    fn=monitor_feed,
-    inputs=[],
-    outputs="image",
-    live=True,
-    title="Solar Surveillance Feed Simulation"
-)
 
-iface.launch()
+    return frame  # OpenCV frame still returned for Gradio