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

examples = ['samples/paramecium.jpg',
            'samples/euglena.jpg', 'samples/hydra.jpg', 'samples/yeast.jpg', 'samples/amoeba.png']
learn = load_learner('microbe_model.pkl')


def classify_image(img):
    category_name, _, probs = learn.predict(img)
    categories = learn.dls.vocab
    return {category: f"{prob:.4f}" for category, prob in zip(categories, probs.tolist())}


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