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# %% auto 0
__all__ = ['path', 'dls', 'learn', 'loaded_learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
# adding to requirements doesn't work
import os
os.system("pip uninstall -y gradio")
os.system("pip install gradio==3.50.0")
# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr
path = untar_data(URLs.PETS)/'images'
def is_cat(x): return x[0].isupper()
# %% app.ipynb 3
loaded_learn = load_learner('model.pkl')
categories = ("Dog", "Cat")
def classify_image(img):
pred, idx, probs = loaded_learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["doggo.jpg", "catto.jpg", "test.jpg"]
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples
)
intf.launch(inline=False, share=True)
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