"""import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()"""


#|export
from fastai.vision.all import *
import gradio as gr
#|export
learn = load_learner("export.pkl")

#|export
def classify_image(img):
    predict, idx, probs = learn.predict(img)
    categories = learn.dls.vocab
    return dict(zip(categories,map(float,probs)))

#|export
image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ["sunflower.jpg","Peonies.jpeg","Hellebore.jpg","Rose.jpg"]

intf = gr.Interface(fn=classify_image, inputs=image,outputs=label,examples=examples)
intf.launch(inline=False)