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import gradio as gr | |
from fastai.vision.all import load_learner, PILImage | |
def is_cat(x): | |
return x[0].isupper() | |
learner = load_learner("model.pkl") | |
categories = ("Dog", "Cat") | |
def classify_image(img): | |
pred, idx, probs = learner.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
examples = ["dog.jpg", "cat.jpg"] | |
image = gr.Image(height=192, width=192) | |
label = gr.Label() | |
# exam | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch() | |