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import gradio as gr
from fastai.vision.all import *
def is_cat(x): return x[0].isupper()
learn = load_learner('model2.pkl')
categories = ['dog', 'cat']
def predict_image(img):
pred, pred_idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.Image()
label = gr.Label()
examples = ["cat.jpg", "dog.jpg"]
gr.Interface(fn=predict_image, inputs=image, outputs=label).launch() |