__all__ = ["is_cat" , "learn", "classify_image", "image", "outputs", "labels", "examples", "intf"]

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

def is_cat(x): return x[0].isupper()

learn = load_learner("model.pkl")
labels = learn.dls.vocab

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

image = gr.inputs.Image(shape=(192, 192))
outputs = gr.outputs.Label(num_top_classes=3)
examples = ["dog.jpg", "cat.jpg", "dunno.jpg"]

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