I have changed the name:
image = Image.open('flowers/test/32/image_05591.jpg')
img = process_image(image)

def predict(image, model, topk=5):
    ''' 
      Predict the class (or classes) of an image using a trained deep learning model.
      Here, image is the path to an image file, but input to process_image should be                                                         
      Image.open(image)
    '''
    img = process_image(Image.open(img))
    img = torch.from_numpy(img).type(torch.FloatTensor) 

    output = model.forward(img)
    probs, labels = torch.topk(output, topk)        
    probs = probs.exp()

    # Reverse the dict
    idx_to_class = {val: key for key, val in model.class_to_idx.items()}
    # Get the correct indices
    top_classes = [idx_to_class[each] for each in classes]

    return labels, probs

The test it:
probs, classes = predict(image, model)
print(probs)
print(classes)

New errors:
---------------------------------------------------------------------------
UnboundLocalError                         Traceback (most recent call last)
<ipython-input-29-b49fdcab5791> in <module>()
----> 1 probs, classes = predict(image, model)
      2 print(probs)
      3 print(classes)

<ipython-input-28-2ef4f9abd430> in predict(image, model, topk)
      5       Image.open(image)
      6     '''
----> 7     img = torch.from_numpy(img).type(torch.FloatTensor)
      8 
      9     output = model.forward(img)

UnboundLocalError: local variable 'img' referenced before assignment