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import matplotlib.pyplot as plt

import numpy as np

import streamlit as st

@st.cache_data

def load_fig():

arr = np.random.normal(1, 1, size=100)

fig, ax = plt.subplots()

ax.hist(arr, bins=20)

return fig, ax

fig, ax = load_fig()

st.pyplot(fig)