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


# Cell
learn = load_learner("model-resnet50.pkl")

# Cell
categories = learn.dls.vocab


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


# Cell
image = gr.inputs.Image(shape=(256, 256))
label = gr.outputs.Label()

examples = ["dragon.jpg", "monster.jpg"]

app = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
app.launch()