Update app.py

app.py

@@ -7,10 +7,10 @@ model = YOLO("yolo11n-pose.pt")  # You can also use yolov8s/m/l/x-pose.pt
 
 def predict_pose(frame):
     # Run YOLOv8-Pose inference
-    results = model.predict(frame, imgsz=640, conf=0.5, iou=0.5)[0]
+    results = model.predict(frame, imgsz=480, conf=0.5, iou=0.5)[0]
 
     # Draw results on frame
-    annotated_frame = results.plot(labels=False, boxes=False)  # YOLOv8 handles drawing
+    annotated_frame = results.plot(labels=False)  # YOLOv8 handles drawing
     return annotated_frame
 
 # Set up Gradio interface