app.py

# Load modules
from fastai.vision.all import *
import gradio as gr

# Load trained model
learn = load_learner("model.pkl")

# Prepare classifier function and categories
categories = ("Cat", "Dog")


def classify_image(img):
    pred, idx, probs = learn.predict(img)
    # Same as {"Cat": probs[0], "Dog": probs[1]}
    return dict(zip(categories, map(float, probs)))


# Setup input, output GUI, and algorithm block
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ["dog.jpg", "cat.jpg"]

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