Update app.py

app.py

@@ -154,7 +154,7 @@ def yolov9_inference(model_id, img_path=None, vid_path=None, tracking_algorithm
             if len(x) > 1:
                 # Create spline interpolation
                 x_smooth = np.linspace(x.min(), x.max(), 500)
-                spline = make_interp_spline(x, y, k=4)  # Cubic spline interpolation
+                spline = make_interp_spline(x, y, k=3)  # Cubic spline interpolation
                 y_smooth = spline(x_smooth)
         
                 # Append the smoothed data to the list