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import gradio as gr
from fastai.vision.all import *
def greet(name):
return "Hello " + name + "!!!"
def is_cat(x):
return x[0].isupper()
learner = load_learner("model.pkl")
categories = ("Dog", "Cat")
def classify_image(img):
pred, ind, probs = learner.predict(img)
return dict(zip(categories,map(float,probs)))
image = gr.inputs.Image(shape = (192, 192))
label = gr.outputs.Label()
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch() |