|
from fastai.vision.all import * |
|
import gradio as gr |
|
import pathlib |
|
|
|
plt = platform.system() |
|
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath |
|
|
|
modelPath = Path('export.pkl') |
|
learn = load_learner(modelPath) |
|
categories = ('Cat', 'Dog') |
|
|
|
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 = ['cat.jpg', 'dog.png'] |
|
|
|
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) |
|
intf.launch(inline=False) |