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__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
import fastbook
import gradio as gr
from fastai.vision.all import * # fastai stuff
def is_cat(x): return x[0].isupper()
learn_inf = load_learner(path/'model.pkl')
categories =('Dog','Cat')
def classify_image(img):
pred, idx, probs = learn_inf.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['dog.jpeg','cat.jpeg','catdog.jpeg']
intt = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False) |