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__all__ = ['is_cat','learn','classify_image','categories','image','label','examples','intf']
import subprocess
# Install necessary libraries using pip
subprocess.run(['pip', 'install', '-Uqq', 'fastbook', 'gradio'])
from fastai.vision.all import*
import gradio as gr
def is_cat(x): return x[0].isupper()
learn = load_learner('model.pkl')
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 = ['1.jpg', '2.jpg','3.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch() |