from fastai.vision.all import *
import gradio as gr

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

learn = load_learner('model.pkl')
categorieries = ['Dog', 'Cat']

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

intf = gr.Interface(
    fn=classify_image,
    inputs=gr.Image(),
    outputs=gr.Label(),
    title="Dog vs Cat Classifier"
)

intf.launch(inline=False)