Lesson 1 DataLoader does not contain any batches

Moving through the notebook for Lesson 1, I was unable to retrieve image files from DDG using the duckduckgo_search.ddg_images function (returns ‘403 Forbidden’ error).

To solve this problem, I installed and used an alternative search function kindly posted elsewhere on this forum:

from fastbook import search_images_ddg

def search_images(term, max_images=1):
    print(f"Searching for '{term}'")
    # old function
    #return L(ddg_images(term, max_results=max_images)).itemgot('image')
    # new function
    return search_images_ddg(term, max_images=max_images)

This solution works well (perhaps unrelated to current error).
However, upon using the DataBlock class, I have not been able to solve the following error:

searches = 'forest','bird'
path = Path('bird_or_not')
from time import sleep
for o in searches:
    dest = (path/o)
    dest.mkdir(exist_ok=True, parents=True)
    download_images(dest, urls=search_images(f'{o} photo'))
    sleep(3)  # Pause between searches to avoid over-loading server
    download_images(dest, urls=search_images(f'{o} sun photo'))
    download_images(dest, urls=search_images(f'{o} shade photo'))
    resize_images(path/o, max_size=400, dest=path/o)

failed = verify_images(get_image_files(path))

dls = DataBlock(
    blocks=(ImageBlock, CategoryBlock), 
    splitter=RandomSplitter(valid_pct=0.2, seed=42),
    item_tfms=[Resize(192, method='squish')]

I’ve tried a bunch of things. I removed the item_tfms and bs parameters. I’ve tried setting dataloaders parameter create_batches=True. Nothing looks weird using the debugger. I think maybe this error stems from the dataloader inability to create a “batch” from the input provided from get_image_files function, but not sure.
I have the standard docker environment plus the ddg api installed:

Not sure what else to try.
Any suggestions appreciated. Thank you.

I think the issue is that you seem to have only 10 images (after Collecting items from bird_or_not it prints Found 10 items) whereas your batch size is 32 (.dataloaders(path, bs=32, verbose=True)). I would recommend downloading at least a couple hundred images to see good training results, or if you just want to make sure your DataLoaders works with this current dataset, set bs=1 and see if it creates batches.