Plot 3D scatter resetting view after update by st.empty() container

Using Streamlit
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I’m running a local instance from streamlit and trying to view a 3D plot from a live stream data. Using st.empy i was able to update chart without update entire screen but if i rotate screen, it reset view on every refresh, tried a lot of solutions, but without sucess, there is some post withour a solution. Is a version problem?

Update 3d scatter plot without resetting view - Using Streamlit - Streamlit

import streamlit as st
import numpy as np
import plotly.graph_objs as go
import time

plot = st.empty()

while True:
    with plot:
        values = np.random.uniform(20, 80, 8)  # Valores aleatórios entre 20 e 80 °C
        zonas = [f'Zona {i+1}' for i in range(8)]
        corners = np.array([[0, 0, 0], [2, 0, 0], [2, 1, 0], [0, 1, 0],
                            [0, 0, 1], [2, 0, 1], [2, 1, 1], [0, 1, 1]])
        grid_x, grid_y, grid_z = np.mgrid[0:2:20j, 0:1:20j, 0:1:20j]
        grid_values = np.interp(np.linspace(0, 7, grid_x.size), np.arange(8), values).reshape(grid_x.shape)

        fig = go.Figure(data=go.Volume(
            x=grid_x.flatten(),
            y=grid_y.flatten(),
            z=grid_z.flatten(),
            value=grid_values.flatten(),
            isomin=min(values),
            isomax=max(values),
            opacity=0.3,
            surface_count=50,
            colorscale='Viridis',
        ))

        annos = [dict(x=corners[i, 0], y=corners[i, 1], z=corners[i, 2],
                      text=f'{values[i]:.1f}',
                      showarrow=True, arrowhead=0, font=dict(color='black', size=14),
                      bgcolor="white", opacity=0.85) for i in range(8)]
        
        fig.update_layout(
            scene=dict(
                annotations=annos,
                xaxis=dict(range=[-0.5, 2.5]),
                yaxis=dict(range=[-0.5, 1.5]),
                zaxis=dict(range=[-0.5, 1.5])
            ),
            width=1000,
            height=800,
            uirevision='foo'  # Mantém o estado da UI entre atualizações
        )

        st.plotly_chart(fig, use_container_width=True)
        time.sleep(3)
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