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import gradio as gr | |
from fastai.vision.all import * | |
import skimage | |
import pickle | |
learn = load_learner('snackdetector.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 = "Dutch Snack Detector" | |
description = "Dutch Snack Detector: Detect your Dutch snack and enjoy" | |
examples = ['frikandel.jpg','kroket.jpg','bitterballen.jpg'] | |
interpretation='default' | |
enable_queue=True | |
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch() |