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

## Select Model to use
#model = 'resent34-model.pkl'
model = 'convnext-model.pkl'
#model = 'convnext-tiny-modelR01.pkl'
#model = 'vit_small_patch16_224-modelE8.pkl'
learn = load_learner(model)


#categories = ('tahiti', 'hawaii', 'island -tahiti -hawaii')
categories = ('tahiti', 'hawaii')

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 = ['tahiti.jpg', 'hawaii.jpg', 'island.jpg']
examples = ['tahiti.jpg', 'hawaii.jpg']

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