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import gradio as gr
from fastai.vision.all import *
import PIL
def is_cat(x): return x[0].isupper()
learned = load_learner('model.pkl')
labels = learned.dls.vocab
def predict (img):
img = PILImage.create(img)
pred, pred_idx, probs = learned.predict(img)
return dict(zip(labels, map(float, probs)))
title = "Cat Predictor"
examples= ["tabby.jpg"]
iface = gr.Interface(fn=predict, title=title, examples=examples, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
iface.launch(debug=True) |