Update app.py

app.py

@@ -0,0 +1,45 @@
+import gradio as gr
+import cv2
+from ultralytics import YOLO
+
+def object_detection():
+    
+    model=YOLO("/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/best.pt")
+    
+    source="/home/kahraman/Masaüstü/HuggingFace_Models_and_Spaces/yolov8_model_on_custom_data/cow-video-cows-mooing-and-grazing-in-a-field.mp4"
+    
+    cap = cv2.VideoCapture(source)
+    
+    while True:
+        ret, frame = cap.read()
+    
+        if not ret:
+            break
+    
+        results = model(frame)
+        for result in results:
+            box=result.boxes
+            
+            x1, y1, x2, y2 = map(int, box.xyxy[0])
+            print(x1, y1, x2, y2)
+            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 2)
+    
+        cv2.imshow("img", frame)
+        
+        if cv2.waitKey(1) & 0xFF == ord("q"):
+            break
+    
+    cap.release()
+    cv2.destroyAllWindows()
+
+
+iface = gr.Interface(
+    fn=object_detection,
+    inputs="text",
+    outputs="text",
+    layout="vertical",
+    title="Sığır Object Detection",
+    description="Bir sığır videosu bırakın ve videoda ki sığırların yakalayın."
+)
+
+iface.launch(share=True)