import numpy as np
import gradio as gr

def flip_image(x):
    return (1000, np.zeros((100, 100)))

with gr.Blocks() as demo:
    gr.Markdown("""
    # Crowd Counting based on SASNet

    We implemented a image crowd counting model with VGG16 following the paper of Song et. al (2021). 

    ## References
    Song, Q., Wang, C., Wang, Y., Tai, Y., Wang, C., Li, J., … Ma, J. (2021). To Choose or to Fuse? Scale Selection for Crowd Counting. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21).
    """)
    image_button = gr.Button("Count the Crowd!")
    with gr.Row():
            with gr.Column():
              image_input = gr.Image(type="pil")
              gr.Examples(["IMG_1.jpg", "IMG_2.jpg", "IMG_3.jpg"], image_input)
            with gr.Column():
              image_output = gr.Image()
              text_output = gr.Label()
    
    image_button.click(flip_image, inputs=image_input, outputs=[text_output, image_output])

demo.launch()