app.py

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


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()

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

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

# def reverse(name):
#     return name[::-1]

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