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# %%
#/default_exp app
# %%
#/export
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
# %%
#/export
learn = load_learner('model.pkl')
# %%
#/export
categories = ('Dog','Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
# %%
classify_image('dog.jpeg')
# %%
#/export
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpeg','cat.jpeg', 'dunno.jpeg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
intf.launch(inline=False)
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