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import gradio as gr
def greet(name):
return "Hello " + name + "!!"
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
inf = load_learner('export.pkl')
#categories = ('Cat', 'Cheetah', 'Other', 'Leopard', 'Lion', 'Snow Leopard', 'Tiger')
def classify_img(img):
pred, idx, probs = inf.predict(img)
return dict(zip(categories,map(float,probs)))
#|export
#This creates the gradio interface
image = gr.Image(shape=(192,192))
label = gr.outputs.Label()
#examples = ['cheetah.jpg','leopard.jpg','img.jpg']
#intf = gr.Interface(fn = classify_img, inputs=image,outputs=label,examples = examples)
intf.launch()
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