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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.components.Image(label="Image Input")
label = gr.components.Label(label="Image Output")
examples = ['dog.jpg', 'cat.jpg', '0002a367-38b4-41c3-a47c-b11e104b394b.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False) |