app.py

def predict(img):
    # Preprocess the input image
    img = img.reshape(1, 28, 28) / 255.0

    # Make the prediction
    prediction = model.predict(img)
    predicted_digit = np.argmax(prediction[0])

    return predicted_digit

with gr.Blocks() as demo:
    gr.Markdown("Welcome on your first sketch recognition app!")

    with gr.Row():
        scratchpad = gr.Scratchpad(shape=(28, 28))
        output = gr.Text()

    btn = gr.Button("Submit")
    btn.click(predict, inputs=scratchpad, outputs=output)

demo.launch()