%pip install gradio==3.50
%pip install fastai
%pip install ipywidgets

Defaulting to user installation because normal site-packages is not writeable
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Note: you may need to restart the kernel to use updated packages.
Defaulting to user installation because normal site-packages is not writeable
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Note: you may need to restart the kernel to use updated packages.
Defaulting to user installation because normal site-packages is not writeable
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Note: you may need to restart the kernel to use updated packages.

from fastai.vision.all import *
import gradio as gr
import pathlib as pl
plt = platform.system()

def is_cat(x): return x[0].isupper()

im = PILImage.create('dog.jpg')
im.thumbnail((192,192))
im

if plt == 'Linux' : pl.WindowsPath = pl.PosixPath
learn = load_learner('model.pkl')

learn.predict(im)

/usr/local/lib/python3.10/dist-packages/fastai/torch_core.py:263: UserWarning: 'has_mps' is deprecated, please use 'torch.backends.mps.is_built()'
  return getattr(torch, 'has_mps', False)

('False', tensor(0), tensor([9.9995e-01, 4.5986e-05]))

categories = ('Dog', 'Cat')

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

classify_image(im)

{'Dog': 0.9999539852142334, 'Cat': 4.598570376401767e-05}

image = gr.Image(height=192, width = 192)
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']

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

Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.

import jupytext
nb = jupytext.read("app.ipynb")
jupytext.write(nb, "app.py", fmt = "qmd")