Update app.py

app.py

@@ -4,6 +4,7 @@ from detect_deepsort import run_deepsort
 from detect_strongsort import run_strongsort
 from detect import run
 import os
+import torch
 from PIL import Image
 import cv2
 import numpy as np
@@ -110,9 +111,9 @@ def app():
                     ],
                     value="None"
                 )
+                yolov9_infer = gr.Button(value="Inference")
                 gr.Examples(['./img_examples/Exam_1.png','./img_examples/Exam_2.png','./img_examples/Exam_3.png','./img_examples/Exam_4.png','./img_examples/Exam_5.png'], inputs=img_path,label = "Image Example", cache_examples = False)
                 gr.Examples(['./video_examples/video_1.mp4', './video_examples/video_2.mp4','./video_examples/video_3.mp4','./video_examples/video_4.mp4','./video_examples/video_5.mp4'], inputs=vid_path, label = "Video Example", cache_examples = False)
-                yolov9_infer = gr.Button(value="Inference")
             with gr.Column():
                 gr.HTML("<h2>Output</h2>")
                 output_image = gr.Image(type="numpy",label="Output")