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import platform
import pathlib
plt = platform.system()
pathlib.WindowsPath = pathlib.PosixPath
#import subprocess
#import sys
#def install(package):
# subprocess.check_call([sys.executable, "-m", "pip", "install", package])
#install('fastbook')
# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
# %% auto 0
__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'interface', 'classify_image']
# %% app.ipynb 1
#from fastbook import *
from fastai.vision.all import *
from fastai.vision.widgets import ImageClassifierCleaner
import gradio as gr
# %% app.ipynb 2
learn = load_learner('./model.pkl')
# %% app.ipynb 3
categories=('bird','forest')
def classify_image(img):
pred,indx,probs=learn.predict(img)
return dict(zip(categories,map(float,probs)))
# %% app.ipynb 4
image=gr.inputs.Image(shape=(192,192))
label=gr.outputs.Label()
examples=['a.jpg', 'b.jpg','c.jpg','d.jpg']
interface=gr.Interface(fn=classify_image, inputs=image ,outputs=label,examples=examples)
interface.launch(inline=False) |