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

# Load the model
learn = load_learner('export.pkl')
labels = learn.dls.vocab

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

# Define the Gradio interface
interface = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil"),
    outputs=gr.Label(num_top_classes=3),
    title="Bear Classifier",
    description="Upload an image to see if it's a Grizzly, Black, or Teddy bear!"
)

interface.launch()