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import subprocess
import sys
subprocess.check_call([sys.executable, "-m", "pip", "install", "fastai"])
subprocess.check_call([sys.executable, "-m", "pip", "install", "gradio"])
__all__ =['is_cat','learn','classify_image','categories','image','label','examples','InFace']
from fastai.vision.all import *
import gradio as gr
def is_cat(x): return x[0].isupper()
im = PILImage.create('dog.jpg')
learn = load_learner('model.pkl')
learn.predict(im)
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','N.jpg']
InFace = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
InFace.launch(inline=False) |