homer-or-peter / app.py
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import gradio as gr
from fastai.vision.all import *
import skimage
title = "Homer or Peter"
examples = ["homer_1.jpg",
"homer_2.jpg",
"homer_3.jpg",
"peter_1.jpg",
"peter_2.jpg"]
interpretation='default'
enable_queue=True
learn = load_learner('homer-or-peter.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))}
gr.Interface(fn=predict,
inputs=gr.components.Image(shape=(512, 512)),
outputs=gr.components.Label(num_top_classes=3),
title=title,
examples=examples,
interpretation=interpretation
).launch(enable_queue=enable_queue)