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

learn = load_learner("c_pc_p_model.pkl")

classes = ["Cake", "Pancake", "Pie"]
def classify_image(img):
	pred, idx, probs = learn.predict(img)
	return dict(zip(classes, map(float, probs)))

image = gr.Image()
label = gr.Label()
examples = ["cake.jpg", "pancake.jpg", "pancakepie.jpg", "pie.jpg", "piecake.jpg"]

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