import gradio as gr | |
from fastai.vision.all import * | |
import skimage | |
learn = load_learner('catloaf.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))} | |
title = "Cat or Bread Loaf?" | |
description = "A loaf classifier" | |
examples = ['cat-loaf.jpg', 'bread-loaf.jpg'] | |
interpretation='default' | |
enable_queue=True | |
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=2),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch() |