feat: examples

app.py

@@ -69,18 +69,30 @@ def calculate_similarity(model_name: str, image_1: Image.Image, image_2: Image.I
 
 with gr.Blocks() as demo:
     with gr.Row():
-        with gr.Column():
-            image_1 = gr.Image(label="Image 1", type="pil")
-            image_2 = gr.Image(label="Image 2", type="pil")
+        with gr.Column(scale=2):
+            with gr.Row():
+                image_1 = gr.Image(label="Image 1", type="pil")
+
+                image_2 = gr.Image(label="Image 2", type="pil")
+
+            gr.Examples(
+                examples=[
+                    ["./examples/sample_01.jpg", "./examples/sample_02.jpg"],
+                    ["./examples/sample_01.jpg", "./examples/sample_05.jpg"],
+                    ["./examples/sample_01.jpg", "./examples/sample_06.jpg"],
+                    ["./examples/sample_01.jpg", "./examples/sample_03.jpg"],
+                    ["./examples/sample_04.jpg", "./examples/sample_03.jpg"],
+                ],
+                inputs=[image_1, image_2],
+            )
 
+        with gr.Column():
             model_name = gr.Dropdown(
                 label="Model",
                 choices=list(MODELS.keys()),
                 value=list(MODELS.keys())[0],
             )
             submit_btn = gr.Button("Submit", variant="primary")
-
-        with gr.Column():
             similarity = gr.Label(label="Similarity")
 
     gr.on(