Update app.py

app.py

@@ -1,13 +1,10 @@
 import gradio as gr
-import cv2
 import torch
-
 from sahi.prediction import ObjectPrediction
 from sahi.utils.cv import visualize_object_predictions, read_image
-#import requests
-import os 
 from ultralyticsplus import YOLO
 
+
 image_path = [['test_images/2a998cfb0901db5f8210.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45],['test_images/2ce19ce0191acb44920b.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45],
              ['test_images/2daab6ea3310e14eb801.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45], ['test_images/4a137deefb14294a7005 (1).jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45],
              ['test_images/7e77c596436c9132c87d.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45], ['test_images/170f914014bac6e49fab.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45],
@@ -19,7 +16,7 @@ image_path = [['test_images/2a998cfb0901db5f8210.jpg','linhcuem/chamdiem_yolov8_
              ['test_images/ee106392e56837366e79.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45], ['test_images/f88d2214a4ee76b02fff.jpg','linhcuem/chamdiem_yolov8_ver10', 640, 0.25, 0.45]]
 
 # Load YOLO model
-model = YOLO('linhcuem/chamdiem_yolov8_ver10')
+# model = YOLO('linhcuem/chamdiem_yolov8_ver10')
 
 ###################################################
 def yolov8_img_inference(