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from fastai.vision.all import load_learner
import gradio as gr
def is_cat(x):
return x[0].is_upper
learn = load_learner("model.pkl")
categories = ("Dog", "Cat")
def classify_image(img):
_, _, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ["dog.jpg", "cat.jpg"]
gradio_interface = gr.Interface(
fn=classify_image, inputs=image, outputs=label, examples=examples
)
gradio_interface.launch(inline=False)
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