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| import gradio as gr | |
| from backend import Infer | |
| DEBUG = True | |
| infer = Infer(DEBUG) | |
| with gr.Blocks(analytics_enabled=False, title="DeepNAPSI Prediction") as demo: | |
| with gr.Column(): | |
| gr.Markdown("Upload an image of the hand and click **Predict NAPSI** to see the output.") | |
| with gr.Column(): | |
| image_input = gr.Image() | |
| image_button = gr.Button("Predict NAPSI") | |
| outputs = [] | |
| with gr.Row(): | |
| with gr.Column(): | |
| outputs.append(gr.Image()) | |
| outputs.append(gr.Number(label="DeepNAPSI Thumb")) | |
| with gr.Column(): | |
| outputs.append(gr.Image()) | |
| outputs.append(gr.Number(label="DeepNAPSI Index")) | |
| with gr.Column(): | |
| outputs.append(gr.Image()) | |
| outputs.append(gr.Number(label="DeepNAPSI Middle")) | |
| with gr.Column(): | |
| outputs.append(gr.Image()) | |
| outputs.append(gr.Number(label="DeepNAPSI Ring")) | |
| with gr.Column(): | |
| outputs.append(gr.Image()) | |
| outputs.append(gr.Number(label="DeepNAPSI Pinky")) | |
| image_button.click(infer.predict, inputs=image_input, outputs=outputs) | |
| demo.launch(share=True) | |