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import gradio as gr
from fastai.vision.all import *
learn = load_learner('export.pkl')
categories = ('dragon fruit', 'Lemon', 'Orange', 'yellow apple', 'red apple', 'green apple')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(categories, map(float, probs)))
image = gr.inputs.Image(shape = (256, 256))
label = gr.outputs.Label()
examples = ['apple.jpeg']
intf = gr.Interface(fn = classify_image, inputs=image, outputs=label, examples=examples)
intf.launch()
# def greet(name):
# return "Hello " + name + "!!"
# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()
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