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import gradio as gr
from fastai.vision.all import *
import gradio as gr
import pathlib
def is_cat(x): return x[0].isupper()
#temp = pathlib.PosixPath
#pathlib.PosixPath = pathlib.WindowsPath
learn=load_learner('model.pkl')
#pathlib.PosixPath=temp
categories = ('Dog', 'Cat')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.components.Image()
label = gr.components.Label()
examples=['dog.jpg', 'cat.jpg','dunno.jpg']
a='v'
interface = gr.Interface(fn=classify_image, inputs=[image], outputs=[label], examples=examples)
interface.launch() |