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d4fc3fa b93de44 d4fc3fa 1218c25 19fcab4 b93de44 b01d5ab d4fc3fa b93de44 b01d5ab b93de44 47fda48 75a7753 47fda48 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import gradio as gr
from fastai.vision.all import *
import skimage
def is_cat(x):
return x[0].isupper()
learn = load_learner("model.pkl")
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred, pred_idx, probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
iface = gr.Interface(
fn=predict,
inputs=gr.Image(width=512, height=512),
outputs=gr.Label(num_top_classes=3),
)
iface.launch(share=True)
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