testing.py

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

# Cell
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return ×[0].isupper()


learn = load_learner ('model.pkl')
# Cell
categories = ('Dog', 'Cat')
def classify_image (img) :
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float ‚probs)))
# Cell
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label ()
examples=['dog.jpg', 'cat.jpg','teddy.jpg']
intf = gr.Interface(fn=classify_image,inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)