Update app.py

app.py

@@ -117,7 +117,6 @@ def export_json(results, model, img_size):
     ]
 
 
-# YOLOv5图片检测函数
 def yolo_det(img, device, model_name, inference_size, conf, iou, label_opt, model_cls):
 
     global model, model_name_tmp, device_tmp
@@ -190,7 +189,18 @@ def main(args):
     model_cls_name = yaml_csv(cls_name, "model_cls_name")
 
     # -------------------输入组件-------------------
-    inputs_img = gr.inputs.Image(type="pil", label="原始图片")
+    inputs_img = gr.inputs.Image(type="pil", label="Input Image")
+    experiment_id = gr.inputs.Radio(
+        choices=[
+            "add [1,1,1,1,1] paths",
+            "add [1,1,1,1,1,1,1,1] paths",
+            "add [1,2,4,8,16,32, ...] total 128 paths",
+            "add [1,2,4,8,16,32, ...] total 256 paths"], type="value", default="add [1,1,1,1,1] paths", label="Path Adding Scheduler"
+    )
+
+
+
+
     device = gr.inputs.Dropdown(
         choices=["cpu"], default=device, type="value", label="设备"
     )