Improve app

app.py

@@ -30,7 +30,7 @@ MODEL_VERSIONS = {
     "v1.8.1: Best Sharpness": "yoso-normal-v1-8-1"
 }
 
-def load_predictor(version: str = "v1.8.1"):
+def load_predictor(version: str = "v1.8.1: Best Sharpness"):
     """Load model predictor using torch.hub with specified version"""
     if version not in predictors:
         yoso_version = MODEL_VERSIONS[version]
@@ -55,7 +55,7 @@ def precache_all_predictors():
 
 def process_image(
     path_input: str,
-    version: str = "v1.8.1",
+    version: str = "v1.8.1: Best Sharpness",
     data_type: str = "object"
 ) -> tuple:
     """Process single image with specified model version"""
@@ -128,7 +128,7 @@ def create_demo():
                         # Model version selector
                         version_dropdown = gr.Dropdown(
                             choices=list(MODEL_VERSIONS.keys()),
-                            value="v1.8.1",
+                            value="v1.8.1: Best Sharpness",
                             label="Model Version",
                             info="Select YOSO Normal model version"
                         )
@@ -176,7 +176,7 @@ def create_demo():
         )
 
         object_reset_btn.click(
-            fn=lambda: (None, "v1.8.1", None),
+            fn=lambda: (None, "v1.8.1: Best Sharpness", None),
             inputs=[],
             outputs=[object_input, version_dropdown, object_output_slider],
             queue=False,