sidebar_body.py

text = """
<hr>
<h3>How does it work?</h3>
The app uses <a href="https://github.com/sautee/battery-state-of-charge-estimation/tree/main/pre-trained">pre-trained</a> DNN, CNN and LSTM models trained on publicly available LG 18650HG2 and Panasonic 18650PG datasets.
<br><br>
<h3>Datasets</h3>
<a href="https://data.mendeley.com/datasets/cp3473x7xv/3">LG 18650HG2</a>
Kollmeyer, Philip; Vidal, Carlos; Naguib, Mina; Skells, Michael  (2020), “LG 18650HG2 Li-ion Battery Data and Example Deep Neural Network xEV SOC Estimator Script”, Mendeley Data, V3, doi: 10.17632/cp3473x7xv.3

<a href="https://data.mendeley.com/datasets/wykht8y7tg/1">Panasonic 18650PF</a>
Kollmeyer, Phillip (2018), “Panasonic 18650PF Li-ion Battery Data”, Mendeley Data, V1, doi: 10.17632/wykht8y7tg.1
<br><br>
<h3>Where do I find the code?</h3>
The code for this app is available on <a href="https://github.com/sautee/battery-state-of-charge-estimation">GitHub</a>.
<br><br>
<h3>Contact me</h3>
Contact me on on <a href="https://www.linkedin.com/in/andrew-chacko/">LinkedIn</a> if you have any questions or feedback.
"""