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

model_path = 'export.pkl'
if '\\' in model_path:
    model_path = Path(PureWindowsPath(model_path))

learn = load_learner(model_path)


categories = ('edible', 'poisonous')

def classify_image(img):
    img = PILImage.create(img)
    img = img.resize((192, 192))
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.Image()
label = gr.Label()
examples = ['ivy berries.jpg', 'bilberry.jpg', 'hollyberries.jpg']

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