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from fastai.vision.all import *
import gradio as gr
learn = load_learner('bearModel.pkl')
categories = ("grizzly", "black", "teddy", "polar")
def classify_img(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['bear_2.jpg','bear_4.jpg','bear_5.jpg','bear_6.jpg']
def greet(name):
return "Hello " + name + "!!"
iface = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
iface.launch(inline=False) |