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

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

learn = load_learner("model.pkl")

categories = ("Cat", "Dog")

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

image = gr.inputs.Image(shape=(224, 224))
label = gr.outputs.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True)

if __name__ == "__main__":
    intf.launch()