app.py

import gradio as gr
from fastai.learner import load_learner
from fastai.vision.core import PILImage

# Load the model
learn = load_learner('../exported_fastai.pkl', cpu=False)

def classify_image(inp):
    inp = PILImage.create(inp)
    pred, _, _ = learn.predict(inp)
    return pred

iface = gr.Interface(
    fn=classify_image,
    inputs=gr.inputs.Image(),
    outputs="text",
    title="Fastai Classifier",
    description="An example of using Fastai in Gradio.",
).launch()