added demo + examples images

app.py

@@ -1,7 +1,27 @@
+import numpy as np
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def flip_image(x):
+    return (1000, np.zeros((100, 100))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text", title="Crowd Counting with Mf Attention")
-iface.launch()
+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()