Update app.py

app.py

@@ -116,10 +116,10 @@ with gr.Blocks() as demo:
             gr.Markdown("**BIS noise**")
             input_noise = gr.inputs.Checkbox(label="Add Gaussian noise")
             with gr.Accordion("noise range"):
-                    min = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=5, label="noise min")
-                    max = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=10, label="noise max")
-                    std = gr.inputs.Slider(minimum=0, maximum=10, step=1, default=2, label="noise standard deviation")
-                    mean = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=7, label="noise mean")
+                    min_gaussian = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=5, label="noise min")
+                    max_gaussian = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=10, label="noise max")
+                    std_gaussian = gr.inputs.Slider(minimum=0, maximum=10, step=1, default=2, label="noise standard deviation")
+                    mean_gaussian = gr.inputs.Slider(minimum=0, maximum=20, step=1, default=7, label="noise mean")
             gr.Markdown("**Infusion noise**")
             with gr.Blocks():
                 output_noise = gr.inputs.Checkbox(label="Add Pulsive noise")
@@ -134,5 +134,5 @@ with gr.Blocks() as demo:
         with gr.Column(scale=5):
             plot1 = gr.Plot(label="BIS evolution")
             plot2 = gr.Plot(label="Infusion evolution")
-    button.click(simulation, inputs=[input_noise, output_noise, min, max, std, mean, min_slider, max_slider, kp_slider, ki_slider], outputs=[plot1, plot2])
+    button.click(simulation, inputs=[input_noise, output_noise, min_gaussian, max_gaussian, std_gaussian, mean_gaussian, min_slider, max_slider, kp_slider, ki_slider], outputs=[plot1, plot2])
 demo.launch()