import gradio as gr
from fastai.vision.all import *

learn = load_learner('export.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()