app.py

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

learn = load_learner('export.pkl')
labels = learn.dls.vocab

def predict(img):
    img = img.resize((512, 512))  # Resize to 512x512
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil", image_mode="RGB"),  # Updated component, compatible with PIL
    outputs=gr.Label(num_top_classes=2)
).launch(share=True)