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import gradio as gr
from fastai.vision.all import *
import pathlib
plt = platform.system()
if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath
def is_dog(x):
return x[0].isupper()
learn = load_learner('model.pkl')
# labels = learn.dls.vocab
#labels #['dog', 'cat']
categories = ('dog', 'cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.Image()
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg']
intf = gr.Interface(
fn=classify_image,
inputs=image,
outputs=label,
examples=examples)
intf.launch(inline=False) |