Update app.py

app.py

@@ -8,8 +8,9 @@ from datetime import datetime
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')
 
 def detect_video(video):
-    cap = cv2.VideoCapture(video)  # Directly use the video path
-    
+    # Use the video file provided by Gradio
+    cap = cv2.VideoCapture(video.name)  # video.name gives the path to the temporary file
+
     # List to hold results
     detection_results = []
     
@@ -39,10 +40,10 @@ def detect_video(video):
 
 # Gradio Interface
 interface = gr.Interface(fn=detect_video, 
-                         inputs=gr.Video(),  # Correct input
+                         inputs=gr.Video(),  # Correct input for video
                          outputs="json",
                          live=True,
-                         share=True,
+                         share=True,  # Share the interface publicly
                          title="YOLOv5 Video Object Detection",
                          description="Upload a video to detect objects and get bounding boxes with timestamps.")