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()