import gradio as gr get_point_mask = """ async function getPointMask(image, points) { console.log("getting point mask"); console.log(points) const { maskURL } = await segmentPoints( image, points ); if(points.length == 0){ return [ null ]; } return [ maskURL ]; } """ def set_points(image, points_state, evt: gr.SelectData): points_state.append([evt.index[0]/image.width, evt.index[1]/image.height, True]) return points_state, points_state with gr.Blocks() as demo: gr.Markdown("""## Segment Anything Model (SAM) with Gradio Lite This demo uses [Gradio Lite](https://www.gradio.app/guides/gradio-lite) as UI for running the Segment Anything Model (SAM) with WASM build with [Candle](https://github.com/huggingface/candle). **Note:** The model's first run may take a few seconds as it loads and caches the model in the browser, and then creates the image embeddings. Any subsequent clicks on points will be significantly faster. """) points_state = gr.State([]) with gr.Row(): with gr.Column(): image = gr.Image(label="Input Image", type="pil") clear_points = gr.Button(value="Clear Points") points = gr.JSON(label="Input Points", visible=False) with gr.Column(): mask = gr.Image(label="Output Mask") clear_points.click(lambda: ([], []), None, [points, points_state]) image.select(set_points, inputs=[image, points_state], outputs=[points, points_state]) points.change(None, inputs=[image, points], outputs=[mask], js=get_point_mask) demo.launch(show_api=False)