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

learn = load_learner('model.pkl')

categories = ('Bald Eagle','Coopers Hawk','Golden Eagle','Juvenile Bald Eagle','Osprey','Red-tailed Hawk')

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 = ['baldeagle.jpg','coopers.jpg','goldeneagle.jpg','juvenilebaldeagle.jpg','osprey.jpg','redtailedhawk.jpg']

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