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import streamlit as st | |
import torch | |
torch.set_default_device('cuda') | |
st.set_page_config(page_title="Tesla Cases", page_icon="", layout="wide") | |
st.title("Tesla Cases \n\n **Tesla Cases Insights at Your Fingertip**") | |
#st.balloons() | |
st.success(""" | |
If you'd like to learn more about the technical details of Tesla cases, check out the LlamaIndex: | |
[How I built the Streamlit LLM application using LlamaIndex.]) | |
""") | |