i have issues in runtime using ubuntu 20 and python 3.8

[johnfelipe]

sudo su
cd
apt install python3-pip
pip install streamlit
pip install streamlit --upgrade
pip install Jinja2==3
sudo apt install python3.10-venv
git clone https://github.com/DavimenUC3M/IronIA-RoboAdvisor

cd IronIA-RoboAdvisor/

python3 -m venv env
source env/bin/activate
pip install -r requirements.txt
streamlit run app.py

in console show me this:

%html

<script src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.1.min.js"></script>
<script src="https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.1.min.js"></script>
<script src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.1.min.js"></script>
<script src="https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.1.min.js"></script>
<script src="https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.1.min.js"></script>

/root/IronIA-RoboAdvisor/env/lib/python3.8/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
2023-12-14 11:34:48.098 Trying to detect encoding from a tiny portion of (14) byte(s).
2023-12-14 11:34:48.104 ascii passed initial chaos probing. Mean measured chaos is 0.000000 %
2023-12-14 11:34:48.107 ascii should target any language(s) of ['Latin Based']
2023-12-14 11:34:48.108 ascii is most likely the one. Stopping the process.

  You can now view your Streamlit app in your browser.

  Network URL: http://192.168.20.13:8501

  External URL: http://181.51.32.154:8501

Loading ...
Iteration 1
-----------
/root/IronIA-RoboAdvisor/src/risk_methods_pyportfolio.py:33: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  filtered_betas['value_product'] = filtered_betas['value_product'].apply(lambda x: round(x,3))

when choose another risk show me error
How can solve?