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import os
import gradio as gr
from ccip import _VALID_MODEL_NAMES, _DEFAULT_MODEL_NAMES, ccip_difference, ccip_default_threshold
def _compare(imagex, imagey, model_name):
threshold = ccip_default_threshold(model_name)
diff = ccip_difference(imagex, imagey)
return diff, 'Same' if diff <= threshold else 'Not Same'
if __name__ == '__main__':
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
with gr.Row():
with gr.Column():
gr_input_x = gr.Image(type='pil', label='Image X')
with gr.Column():
gr_input_y = gr.Image(type='pil', label='Image Y')
with gr.Row():
gr_model_name = gr.Dropdown(_VALID_MODEL_NAMES, value=_DEFAULT_MODEL_NAMES, label='Model')
gr_button = gr.Button(value='Compare', variant='primary')
with gr.Column():
with gr.Row():
gr_diff = gr.Number(value=0.0, label='Difference')
with gr.Row():
gr_prediction = gr.Text(value='', label='Prediction')
gr_button.click(
_compare,
inputs=[gr_input_x, gr_input_y, gr_model_name],
outputs=[gr_diff, gr_prediction],
)
demo.queue(os.cpu_count()).launch(share = True)
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