Update app.py

app.py

@@ -6,11 +6,8 @@ from PIL import Image
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True)
 
 def detect(image):
-    #g = (size / max(im.size))  # gain
-   # im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
-
-    results = model(image)  # inference
-    results.render()  # updates results.imgs with boxes and labels
+    results = model(image)  
+    results.render() 
     return Image.fromarray(results.imgs[0])