feat(model): add yolo model

app.py

@@ -4,6 +4,8 @@ import gradio as gr
 import numpy as np
 import os
 
+model = YOLO("best.pt")
+
 def predict(input_img) -> tuple[np.ndarray | PIL.Image.Image | str, list[tuple[np.ndarray | tuple[int, int, int, int], str]]]:
     res = model(input_img)
     if len(res) == 0:
@@ -38,5 +40,4 @@ gradio_app = gr.Interface(
 
 
 if __name__ == "__main__":
-    model = YOLO("best.pt")
-    gradio_app.launch(debug=True)
+    gradio_app.launch()