Update app.py

app.py

@@ -47,12 +47,7 @@ def detect(img,model):
     parser.add_argument('--trace', action='store_true', help='trace model')
     opt = parser.parse_args()
     img.save("Inference/test.jpg")
-    if model == "yolov7":
-        opt.img_size=640
-        source, weights, view_img, save_txt, imgsz, trace = opt.source, opt.weights, opt.view_img, opt.save_txt, opt.img_size, opt.trace
-    if model == "yolov7-e6e" or "yolov7-e6":
-        opt.img_size=1280
-        source, weights, view_img, save_txt, imgsz, trace = opt.source, opt.weights, opt.view_img, opt.save_txt, opt.img_size, opt.trace
+    source, weights, view_img, save_txt, imgsz, trace = opt.source, opt.weights, opt.view_img, opt.save_txt, opt.img_size, opt.trace
     save_img = True  # save inference images
     webcam = source.isnumeric() or source.endswith('.txt') or source.lower().startswith(
         ('rtsp://', 'rtmp://', 'http://', 'https://'))
@@ -188,4 +183,4 @@ def detect(img,model):
     return Image.fromarray(im0[:,:,::-1])
 
    
-gr.Interface(detect,[gr.Image(type="pil"),gr.Dropdown(choices=["yolov7","yolov7-e6e","yolov7-e6"])], gr.Image(type="pil"),title="Yolov7",examples=[["horses.jpeg", "yolov7"]],description="demo for <a href='https://github.com/WongKinYiu/yolov7' style='text-decoration: underline' target='_blank'>WongKinYiu/yolov7</a> Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors").launch()
+gr.Interface(detect,[gr.Image(type="pil"),gr.Dropdown(choices=["yolov7","yolov7-e6"])], gr.Image(type="pil"),title="Yolov7",examples=[["horses.jpeg", "yolov7"]],description="demo for <a href='https://github.com/WongKinYiu/yolov7' style='text-decoration: underline' target='_blank'>WongKinYiu/yolov7</a> Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors").launch()