HF space failing to build using fast.ai because of Resampling on module PIL.Image
I keep getting the below error when I try to access my model on hugging face spaces. I am building my model in a Kaggle notebook, then downloading to a pkl file to my spaces repo and git pushing to HF spaces. Below is my ImageDataLoaders class that I am using, as I suspect the error is coming from here.dls = ImageDataLoaders.from_folder(path, valid_pct = 0.2, item_tfms=Resize(460), batch_tfms=aug_transforms(size=224, min_scale=0.75))Here is the error I am getting.Custom classes or functions exported with your `Learner` not available in namespace.\Re-declare/import before loading:
	Can't get attribute 'Resampling' on <module 'PIL.Image'Here is my fill app.py code.from fastai.vision.all import *
import gradio as gr
import skimage

learn = load_learner('new_model.pkl')

categories = ('deer', 'elk', 'moose')

def classify_image(img):
    img = PILImage.create(img)
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(type='pil', shape=(192,192))
label = gr.outputs.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch(inline=False)
2023-06-15T09:02:33Z
tldr: these package versions fixed this error for me!pip install Pillow==9.2.0!pip install matplotlib==3.5.2I had the same error and found a fix. The error was caused by having incompatible package versions in the deployment environment (specifically matplotlib, pillow).I used pip freeze in the training environment (kaggle for you) to get the pack versions and installed them in the deployment env e.g. include a requirements.txt in the root directory of your spaces repo.