feat: app for official sam inference

app.py

@@ -53,6 +53,14 @@ def inference(
     return contour_image
 
 
+def extract_object_by_event(
+    image: np.ndarray, evt: gr.SelectData
+):
+    click_h, click_w = evt.index
+
+    return inference(SAM_PREDICTOR, image, click_h, click_w)
+
+
 def get_coords(evt: gr.SelectData):
     """Get coords from mouse click in gradio."""
     return evt.index[0], evt.index[1]
@@ -88,21 +96,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         coord_h = gr.Number(label="Mouse coords h")
         coord_w = gr.Number(label="Mouse coords w")
-
+    input_image.select(extract_object_by_event, [input_image], output)
     input_image.select(get_coords, None, [coord_h, coord_w])
-    gr.Examples(
-        examples=[
-            [os.path.join(os.path.dirname(__file__), "samples/bears.jpg"), 1300, 950],
-            [
-                os.path.join(os.path.dirname(__file__), "samples/breast_cancer.png"),
-                125,
-                60,
-            ],
-        ],
-        inputs=[input_image, coord_h, coord_w],
-        outputs=output,
-        fn=inference,
-        run_on_click=True,
-    )
 
 demo.queue().launch(debug=True, enable_queue=True)