#import gradio as gr

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

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

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

def is_bird(x): return x[0].isupper()
def is_forest(x): return x[1].isupper()

learn = load_learner('export.pkl')

categories = ('bird', 'forest')

def classify_image(img):
  pred,idx,probs = learn.predict(img)
  return dict(zip(categories, map(float, probs)))

image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['1.jpg', '2.jpg', '3.jpg']

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