coding issue

[ronimittal]

in **

_vectorize_images(image_dir, image_size, preprocessor, model, vector_file, batch_size)
24 print("{:d} vectors generated".format(num_vecs))
25 image_vector = ",".join(["{:.5e}".format(v) for v in vectors[i].tolist()])
---> 26 fvec.write("{:s}\t{:s}\n".format(image_batch[i], image_vector))
27 num_vecs += 1
28 print("{:d} vectors generated".format(num_vecs))

TypeError: a bytes-like object is required, not 'str'_**

I am trying to fit your code in a classification problem using transfer learning but getting this error.
Could you please tell why is that and how to rectify it?

[prajotsl123]

replace "fvec = open(vector_file, "wb")" with "fvec = open(vector_file, "w")"