app.py

# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).

__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']

# Cell
from fastai.vision.all import *
import gradio as gr
import timm

# Cell
learn = load_learner('model.pkl')

# Cell
categories = learn.dls.vocab

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

# Cell
# version error fix: https://forums.fast.ai/t/error-when-pushing-to-hugging-face-spaces/111540
# I also replaced:
#image = gr.inputs.Image(shape=(192, 192))
#label = gr.outputs.Label()
#with:
#image = gr.Image()
#label = gr.Label()
# without needing to down gradio

#image = gr.inputs.Image(shape=(192, 192))  # OLD
image = gr.Image(height=192, width=192)
# label = gr.outputs.Label()  # OLD
label = gr.Label()
examples = ['basset.jpg', 'dingo.jpg', 'pug.jpg', 'Golden_Retriever_Dog_Statue.jpg', 'Golden_Retriever.jpg']

# Cell
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()