app.py

# import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!"

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()


__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image',
           'label', 'examples', 'intf']
# |export
from fastai.vision.all import *
import gradio as gr


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


learn = load_learner('model.pkl')


categories = ("Dog", 'Cat')


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


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)