Update app.py

app.py

@@ -6,14 +6,14 @@ import gradio as gr
 
 def fonk(video_path):
   
-  model=YOLO("best.pt")
-  cap=cv2.VideoCapture(video_path)
+  model=YOLO("/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/Cattle_Detection_with_YOLOV8/best.pt")
+  cap=cv2.VideoCapture(video_path)  
 
   frame_width = int(cap.get(3)) 
   frame_height = int(cap.get(4))
   size = (frame_width, frame_height)
-  output_video = cv2.VideoWriter('filename.mp4',  
-                         cv2.VideoWriter_fourcc('X', 'V', 'I', 'D'), 
+  writer = cv2.VideoWriter("filename.mp4",  
+                         cv2.VideoWriter_fourcc(*"DIVX"), 
                          10, size) 
 
   
@@ -30,14 +30,14 @@ def fonk(video_path):
       x1, y1, x2, y2 = map(int, box.xyxy[0])
       print(x1, y1, x2, y2)
       frame= cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
-      output_video.write(frame)
+      output_video= writer.write(frame)
       
-      return output_video
+    return output_video
 
 demo = gr.Interface(fonk,
                     inputs= gr.Video(),
                     outputs=gr.Video(),
-                    examples=["cow-video-cows-mooing-and-grazing-in-a-field.mp4"],
+                    examples=["/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/Cattle_Detection_with_YOLOV8/cow-video-cows-mooing-and-grazing-in-a-field.mp4"],
                     title= "cows",
                     cache_examples=True)
 demo.launch()