Update app.py

app.py

@@ -15,9 +15,9 @@ import PIL
 model_base = 'onnx_models'
 
 def inference(
-    im:gr.inputs.Image=None,
-    model_path:gr.inputs.Dropdown='YOLOv8n',
-    conf_thr:gr.inputs.Slider=0.25
+    im:gr.Image=None,
+    model_path:gr.Dropdown='YOLOv8n',
+    conf_thr:gr.Slider=0.25
 ):
     #model = Yolov8DetectionModel(model_path=f'{model_base}/{model_path}/{model_path}.pt',
     model = Yolov8onnxDetectionModel(model_path=f'{model_base}/{model_path}/{model_path.lower()}.onnx',
@@ -43,7 +43,7 @@ def inference(
 
 inputs = [
     gr.Image(type='filepath', label='Input'),
-    gr.components.Dropdown([
+    gr.Dropdown([
         'YOLOv8n', 
         'YOLOv8s', 
         'YOLOv8m', 
@@ -51,7 +51,7 @@ inputs = [
         'YOLOv8x'
         ],
         value='YOLOv8n', label='Model'),
-    gr.components.Slider(minimum=0.0, maximum=1.0, value=0.25, step=0.05, label='Confidence Threshold'),
+    gr.Slider(minimum=0.0, maximum=1.0, value=0.25, step=0.05, label='Confidence Threshold'),
 ]
 
 outputs = [