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import fastai.vision.all import *
import gradio as gr
#learn = load_learner('model.pkl')
#categories = ('wet','tawny','horned')
#def classify_image(img):
# pred,idx,probs = learn.predict(img)
# return dict(zip(categories, map(float,probs)))
#image = gr.inputs.Image(shape=(224,224))
#label = gr.outputs.label()
#examples = ['harpy.jpg','horned.jpg']
#iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
def greet(name):
return "Hello " + name + "!"
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()
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