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!pip install -Uqq fastai
!pip install gradio
__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
import pathlib
plt = platform.system()
if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath
learn = load_learner('model.pkl')
categories = ('Dog','Cat')
def classify_image(img):
pred , idx , probs = learn.predict(img)
return dict(zip(categories , map(float , probs)))
image = gr.inputs.Image(shape = (192,192))
label = gr.outputs.Label()
examples = ['dog.jpg','cat.jpg','dunno.jpg']
intf = gr.Interface(fn=classify_image , inputs = image, outputs = label, examples = examples)
intf.launch(inline = False) |