Update app.py

app.py

@@ -59,15 +59,15 @@ def yolov8_inference(
         
 
 inputs = [
-    gr.inputs.Image(type="filepath", label="Input Image"),
-    gr.inputs.Dropdown(["yolov8n", "yolov8m", "yolov8l", "yolov8x"], 
+    gr.Image(type="filepath", label="Input Image"),
+    gr.Dropdown(["yolov8n", "yolov8m", "yolov8l", "yolov8x"], 
                        default="yolov8m", label="Model"),
-    gr.inputs.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
-    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
-    gr.inputs.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
+    gr.Slider(minimum=320, maximum=1280, default=640, step=32, label="Image Size"),
+    gr.Slider(minimum=0.0, maximum=1.0, default=0.25, step=0.05, label="Confidence Threshold"),
+    gr.Slider(minimum=0.0, maximum=1.0, default=0.45, step=0.05, label="IOU Threshold"),
 ]
 
-outputs = gr.outputs.Image(type="filepath", label="Output Image")
+outputs = gr.Image(type="filepath", label="Output Image")
 title = "State-of-the-Art YOLO Models for Object detection"
 
 examples = [['demo_01.jpg', 'yolov8n', 640, 0.25, 0.45], ['demo_02.jpg', 'yolov8l', 640, 0.25, 0.45], ['demo_03.jpg', 'yolov8x', 1280, 0.25, 0.45]]