Update app.py

app.py

@@ -20,7 +20,7 @@ def find(name, path):
 
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='Content/best.pt', force_reload=True)    
 def detect(inp):
- g = (size / max(inp.size))  # gain
+ #g = (size / max(inp.size))  # gain
  #im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize
  results = model(inp)  # inference
  results.render()  # updates results.imgs with boxes and labels